Measuring the Gains from Trade under Monopolistic Competition

Size: px
Start display at page:

Download "Measuring the Gains from Trade under Monopolistic Competition"

Transcription

1 Measuring he Gains from Trade under Monopolisic Compeiion by Rober C. Feensra Deparmen of Economics, Universiy of California, Davis Revised, Sepember 2009 Absrac Three sources of gains from rade under monopolisic compeiion are: (i) new impor varieies available o consumers; (ii) enhanced efficiency as more producive firms begin eporing and less producive firms ei; (iii) reduced markups charged by firms due o impor compeiion. The firs source of gains can be measured as new goods in a CES uiliy funcion for consumers. We argue ha he second source is formally analogous o he producer gain from new goods, wih a consan-elasiciy ransformaion curve for he economy. We sugges ha he hird source of gain can be measured using a ranslog ependiure funcion for consumers, which in conras o he CES case, allows for finie reservaion prices for new goods and endogenous markups. For correspondence: rcfeensra@ucdavis.edu, (530)

2 1. Inroducion One of he grea achievemens of inernaional rade heory in he las hree decades is he incorporaion of he monopolisic compeiion model. The need o include increasing reurns o scale in rade heory was recognized as early as Graham (1923; see also Ehier 1982), and in he Canadian cone, by Easman and Sykol (1967) and Melvin (1969). Sill, i was no unil he formalizaion of he monopolisic compeiion model by Dii and Sigliz (1977), in parallel wih Spence (1976) and Lancaser (1979), ha a se of global equilibrium condiions ha avoided he problems of large firms and muliple equilibria could be developed. Tha se of equilibrium condiions was firs wrien down by Krugman (1979, 1980, 1981). 1 There is no doub ha hese developmens have had imporan policy implicaions. For eample, he simulaion resuls of Harris (1984a,b) demonsraed large gains o Canada from free rade wih he U.S., and were very influenial in convincing policy makers o proceed wih he Canada-U.S. free rade agreemen in 1989; ha agreemen in urn paved he way for he Norh American free rade agreemen in Subsequen empirical work for Canada by Trefler (2004), as well as Head and Ries (1999, 2001), confirmed he efficiency gains for Canada due o opening rade, hough no in he manner prediced by Krugman s work. Bu a comprehensive empirical assessmen of he gains from rade under monopolisic compeiion has no ye been made. The goal of his paper is o describe how hese gains can be measured, using mehods ha draw heavily on dualiy heory from Diewer (1974, 1976). The monopolisic compeiion model predics hree sources of gains from rade ha are no presen in radiional models. Firs, here are he consumer gains from having

3 2 access o new impor varieies of differeniaed producs. Those gains have recenly been measured for he Unied Saes by Broda and Weinsein (2006), using he mehods from Feensra (1994), as described in secion 2. Their approach assumes a consan elasiciy of subsiuion (CES) uiliy funcion for consumers, in which case he impor varieies are analogous o new goods in he uiliy funcion. We show ha he gains from rade depend on he impor share and he elasiciy of subsiuion, as also found by Arkolakis e al (2008a). The eension of he monopolisic compeiion model o allow for heerogeneous firms, due o Meliz (2003), leads o a second source of gains from he self-selecion of more efficien firms ino epor markes. This aciviy drives ou less efficien firms and herefore raises overall produciviy. This self-selecion of firms was demonsraed for Canada by Trefler (2004) following he free rade agreemen wih he U.S. We argue ha his self-selecion can sill be inerpreed as a gain from produc variey, bu now on he epor side of he economy raher han for impors. Surprisingly, he consumer gains from new impor varieies do no appear in his case, because hey cancel ou wih disappearing domesic varieies. This finding, demonsraed in secion 3, helps o eplain he heoreical resuls of Arkolakis e al (2008b), where he gains from rade depend on he impor share bu are oherwise independen of he elasiciy of subsiuion in consumpion. Raher, he gains come from he producion side of he economy, where he self-selecion of firms leads o a consan-elasiciy ransformaion curve beween domesic and epor varieies, wih an elasiciy depending on he Pareo parameer of produciviy draws. Third, he monopolisic compeiion model also allows for gains from a reducion

4 3 in firm markups due o impor compeiion. This hird source of gains was sressed in Krugman (1979), bu has been absen from much of he laer lieraure due o he assumpion of CES preferences, leading o consan markups. In secion 4, I inroduce he ranslog ependiure funcion ino he monopolisic compeiion model, and summarize curren research in Bergin and Feensra (2009) and Feensra and Weinsein (2009). I argue ha he ranslog uni-ependiure funcion is racable even as he number of produc varieies is changing, as wih monopolisic compeiion. I can be epeced o lead o esimable formulas for he gains from produc variey and he effec of impors on reducing markups. Conclusions are given in secion Consumer Benefis from Impor Variey We sar wih he consumer gains from impor variey. From a echnical poin of view, measuring he benefis of new impor varieies is equivalen o he so-called new goods problem in inde number heory. Tha has always been a favorie problem of Erwin Diewer s (see Diewer, 1987, p. 779), and arises because he price for a produc before i is available is no observed, so we don know wha price o ener in an inde number formula. The answer given many years ago by Hicks (1940) was ha he relevan price of a produc before i is available is he reservaion price for consumers, namely, a price so high ha demand is zero. Once he produc appears on he marke hen i has a lower price, deermined by supply and demand. The fall in he price from is reservaion level o he acual price can be used in an inde number formula o obain he consumer gains from he appearance of ha new good. For he consan elasiciy of subsiuion (CES) uiliy funcion, we immediaely run ino a problem wih implemening his suggesion because he reservaion price for

5 4 any good is infinie: he demand curve approaches he verical ais as he price approaches infiniy. 2 Bu provided ha he elasiciy of subsiuion is greaer han uniy, hen he area under he demand curve is bounded above, as shown in Figure 1, where he raio of areas A/B = 1/( 1) is easily calculaed for a demand curve wih elasiciy. Thus, even wih an infinie reservaion price, here is a well-defined area of consumer surplus from having he new good available, depending on he elasiciy of subsiuion (we will see he erm 1/(-1) again in Theorem 2 below). The second problem we run ino is how o epress hese consumer gains when here is no jus one bu many new goods available. To address ha case, we do no rely on consumer surplus o measure he welfare gain, as in Figure 1, bu raher, ake he raio of he CES ependiure funcions dual o he uiliy funcion o derive an eac cos of living inde for he consumer. By deermining how new goods affec he cos of living inde, we will have obained an epression for he welfare gain from he new producs. Afer solving his problem, we hen apply he resuls o he monopolisic compeiion model of Krugman (1980). 2.1 CES Uiliy Funcion To address his problem, we will work wih he non-symmeric CES funcion, U /( 1) ( 1) / U(q, I ) aiqi, 1, (1) ii where a i > 0 are ases parameers ha can change over ime, and I denoes he se of goods available in period a he prices p i. The minimum ependiure o obain one uni of uiliy is,

6 5 1/(1) 1 i e(p, I ) b i p, 1, b i ai. (2) ii For simpliciy, firs consider he case where I -1 = I = I, so here is no change in he se of goods, and also b i-1 = b i, so here is no change in ases. We assume ha he observed purchases q i are opimal for he prices and uiliy, ha is, q U ( e / p ). Then he inde number due o Sao (1976) and Varia (1976) shows us how o measure he raio of uni-ependiures: i i Theorem 1 (Sao, 1976; Varia, 1976) If he se of goods available is fied a I -1 = I = I, ase parameers are consan, b i-1 = b i, and observed quaniies are opimal, hen: w (I) i e(p, I) pi PSV(p1, p, q1,q, I), e(p 1, I) p (3) i ii 1 where he weighs w i (I) are consruced from he ependiure shares s i (I) ii p q p q as, i i i i si (I) si1(i) si (I) si1(i) wi(i) ln si (I) ln si 1(I) ii ln si (I) ln si1(i). (4) The numeraor in (4) is he logarihmic mean of he shares s i (I) and s 1(I) and lies in-beween hese wo shares, while he denominaor ensures ha he weighs i, w i (I) sum o uniy. The special formula for hese weighs in (4) is needed o precisely measure he raio of uni-ependiures in (3), bu in pracice he Sao-Varia formula will

7 6 w 1 i 2 i i1 give very similar resuls o using oher weighs, such as (I) [s (I) s (I)], as used for he Törnqvis price inde. In boh cases, he geomeric mean formula in (3) applies. The imporan poin from Theorem 1 is ha goods wih high ase parameers a i will also end o have high weighs, so even wihou knowing he rue values of a i, he eac raio of uni-ependiures is obained. Now consider he case where he se of goods is changing over ime, bu some of he goods are available in boh periods, so ha I 1 I. We again le e(p,i) denoe he uni-ependiure funcion defined over he goods wihin he se I, which is a nonempy subse of hose goods available boh periods, I I 1 I. We someimes refer o he se I as he common se of goods. Then he raio e(p, I) / e(p 1, I) is sill measured by he Sao-Varia inde in he above heorem. Our ineres is in he raio e(p, I ) / e(p 1, I1), which can be measured as follows: Theorem 2 (Feensra, 1994) Assume ha b i-1 = b i for opimal. Then for > 1: i I I 1 I, and ha he observed quaniies are 1/( 1) e(p, I ) (I) PSV(p1, p,q 1, q, I), e(p 1, I1) 1(I) (5) where he weighs w i (I) are consruced from he ependiure shares s i (I) ii p q p q as in (4), and he values (I) and -1 (I) are consruced as: i i i i p ii iqi p ii,ii iqi ( I) 1, = -1,. (6) p ii iqi p ii iqi

8 7 Each of he erms (I) < 1 can be inerpreed as he period ependiure on he good in he common se I, relaive o he period oal ependiure. Alernaively, his can be inerpreed as one minus he period ependiure on new goods (no in he se I), relaive o he period oal ependiure. When here is a greaer number of new goods in period, his will end o lower he value of (I), which leads o a greaer fall in he raio of uni coss in (5), by an amoun ha depends on he elasiciy of subsiuion. The imporance of he elasiciy of subsiuion can be seen from Figure 2, where we suppose ha he consumer minimizes he ependiure needed o obain uiliy along he indifference curve AD. If iniially only good 1 is available, hen consumpion is a poin A wih he budge line AB. When good 2 becomes available, he same level of uiliy can be obained wih consumpion a poin C. Then he drop in he cos of living is measured by he inward movemen of he budge line from AB o he line hrough C, which depends on he conveiy of he indifference curve, or he elasiciy of subsiuion. As he elasiciy approaches infiniy, so he varieies are perfec subsiues, hen here is no welfare gain from having a second variey available (a he same price) and he bias in he convenional price inde vanishes, since he final erm in (5) goes o uniy. 2.2 Krugman (1980) Model Turning o he inernaional rade applicaion, we will suppose ha he uiliy funcion in (1) applies o he purchases of a good from various source counries Tha is, he elasiciy of subsiuion we are ineresed in is he Armingon (1969) i I. elasiciy beween he source counries for impors. We refer o he source counries as

9 8 providing varieies of he differeniaed good, so he gains being measured in (5) are he gains from impor variey. In his case, we can compare he formula in (5) wih he gain from rade obained in he model of Krugman (1980), as analyzed by Arkolakis e al (2008a). In paricular, suppose here are any number of counries, where he represenaive consumer in each has a CES uiliy funcion wih elasiciy > 1. Labor is he only facor of producion and here is a single monopolisically compeiive secor, wih no oher goods. 3 Firms face a fied cos of f o manufacure any good, and an iceberg ranspor cos o sell i abroad, bu no oher fied cos for epors. Then i is well known ha wih profi-maimizaion and zero profis hrough free enry, he oupu of each firm is fied a he amoun: 4 q ( 1) f, (7) where is he produciviy of he firm, i.e. he number of unis of oupu per uni of labor. Wih he populaion of L, he full-employmen condiion is hen: L N[(q / ) f ] Nf, (8) which deermines he number of produc varieies produced in equilibrium as N L / f. This condiion holds under auarky or rade, so opening a counry o rade has no impac on he number of varieies produced wihin a counry. The gains from opening rade can be measured by he raio of real wages under free rade and auarky. Wih labor as he only facor of producion we can normalize wages a uniy, so he gains from rade are simply measured by he drop in he cos of living, which is he inverse of (5). The common se of goods are hose domesic varieies ha are available boh in auarky and under rade. Then he Sao-Varia inde

10 9 P SV is jus he change in he price of he domesic varieies, and wih consan markups ha is he change in home wages, which we have normalized o uniy. So he gains from rade are measured by 1/( 1) / 1) ( in (5). The denominaor of ha raio reflecs he disappearance of domesic varieies, i.e. hose varieies available in period -1 bu no in period. As we have shown above, here are no disappearing domesic varieies in his model, so -1 = 1. The numeraor measures he ependiure on he domesic varieies relaive o oal ependiure wih rade, or one minus he impor share. The gains from rade are herefore 1/( 1), which is precisely he formula obained by Arkolakis e al (2008a). While his formula is no oo surprising, i will ake on greaer significance when we compare i o he resuls from he Meliz (2003) model, in he ne secion. Broda and Weinsein (2006) measure hese gains from rade for he U.S. They define a good as a 10-digi Harmonized Sysem (HS) caegory, or before 1989, as a 7- digi Tariff Schedule of he Unied Saes (TSUSA) caegory. The impors from various source counries are he varieies available for each good. The raio / ) is ( 1 consruced for each good, using he ependiure on new and disappearing source counries. In addiion, hey esimae for each good, using he GMM mehod from Feensra (1994), which eplois heeroskedasiciy across counries o idenify his elasiciy. Puing hese ogeher, hey measure 1/( 1) / 1) ( for 30,000 goods available in he HS and TSUSA daa. For he TSUSA daa hey used 1972 as he base year and measured he gains from new supply counries up o 1988, and hen for he HS daa hey used 1990 as he base year and measured he gains from new supplying counries up o Aggregaing over goods, hey obain an esimae of he gains from

11 10 rade for he US due o he epansion of impor varieies, which amoun o 2.6% of GDP in Two feaures of Broda and Weinsein s mehods deserve special menion. Firs, by measuring he ependiure on new supplying counries relaive o a base year, hey are following he hypohesis of Theorem 2 ha he common se of counries should be hose wih consan ase parameers. In conras, when counries firs sar eporing goods, i is reasonable o epec ha he demand curve in he imporing counry shifs ou over some number of years, as consumers become informed abou he produc. Broda and Weinsein are allowing for such shifs for new and disappearing counries afer he base year, and all such changes in demand for hese counries are incorporaed ino he erms in Theorem 2. Tha is he correc way o measure he gains from new impor varieies. 6 Second, Broda and Weinsein (2006) did no incorporae any changes in he number of U.S. varieies ino heir esimaion, nor include he U.S. as a source counry in he esimaion of he elasiciy of subsiuion for each good. Tha is he correc approach only under he limied case where he number of U.S. varieies is consan. While ha is rue under our assumpions in he model of Krugman (1980), i is cerainly no he case in more general models: we could epec ha increases in impor variey would resul in some reducion in domesic varieies. In ha case, he gains from impor varieies would be offse by he welfare loss from reduced domesic varieies. Tha poenial loss was no addressed by Broda and Weinsein (2006), and we shall begin o address i in he remainder of he paper.

12 11 3. Producer Benefis from Oupu Variey The consumer benefis from produc variey discussed in he previous secion also apply o firms if hey rely on differeniaed inermediae inpus, and in paricular, impored inpus. Tha is he case assumed in much of he endogenous growh lieraure, where he increased range of inermediae inpus fuels growh. The benefis o producers are concepually he same he benefis ha consumers enjoy from increased produc variey, wih he indifference curve shown in Figure 2 replaced by an isoquan. 7 Bu here is anoher ype of poenial producer benefi, which arises from oupu variey. Tha benefi can be seen by epanding he range of elasiciies ha we considered in he uiliy and ependiure funcions (1) and (2). While we have so far resriced ou aenion o > 1, if we consider 0 hen insead of obaining conve indifference curves from (1) for a fied level of U, we obain a concave ransformaion curve as shown in Figure 3. 8 The parameer U in his case measures he resources devoed o producion of he goods q, i I, and he elasiciy of he ransformaion i curve (measured as a posiive number) equals. This reinerpreaion of (1) comes from Diewer (1976), who uses he general erm aggregaor funcion o refer o uiliy funcions, producion funcion, or ransformaion funcions for an economy. value by To make his reinerpreaion eplici, when 0 we will denoe is posiive, which is he elasiciy of ransformaion. Then we will rewrie (1) using labor resources L o replace uiliy U, obaining: L /( 1) ( 1) / a q i i, ai 0, 0. (9) ii

13 12 The maimum revenue obained using one uni of labor resources, dual o (9), is hen: e(p, I ) i I b i p 1 i 1/( 1), i b a, 0. (10) i Wih his reinerpreaion, Theorem 2 coninues o hold as: 1/( 1) e(p, I ) (I) PSV(p1, p,q 1, q, I), e(p 1, I1) 1(I) (11) where he eponen appearing on ( / -1 ) is now negaive. In oher words, he appearance of new oupus, so ha < 1, will raise revenue on he producer side of he economy. To undersand where his increase in revenue is coming from, consider he ransformaion curve in Figure 3. If only good 1 is available, hen he economy would be producing a he corner A, wih revenue shown by he line AB. Then if good 2 becomes available o producers, he new equilibrium will be a poin C, wih an increase in revenue. This illusraes he benefis of oupu variey. In Figure 4 we illusrae he same idea in a parial equilibrium diagram, for a supply curve wih consan elasiciy. When he good becomes available for producion, here is an effecive price increase from he reservaion price for producers (which is zero wih a consan-elasiciy supply curve) o he acual price. 9 The gain in producer surplus is area C, and measured relaive o oal sales C+D, we can readily compue ha C/(C+D) = 1/(+1). While his reinerpreaion of our earlier consumer model is mahemaically valid, here is a problem in is applicaion o inernaional rade: he ransformaion curve beween wo oupus is ofen aken o be linear raher han sricly concave. Tha is he case in he Ricardian model, for eample, or in he ransformaion curve (8) in Krugman s (1980) model. In ha case, he gains from oupu variey vanish. So he

14 13 quesion arises as o wheher he sricly concave case we illusrae in Figure 3 has any pracical applicaion? We will now argue ha he case of a sricly concave ransformaion curve is indeed relevan, and in fac, arises in he generalizaion of he monopolisic compeiion model due o Meliz (2003). Meliz assumes ha labor is he only facor of producion, bu he allows firms o differ in heir produciviies. In he equilibrium wih zero epeced profis, only firms above some cuoff produciviy * survive; and of hese, * only firms wih produciviies above * acually epor. We will argue ha he endogenous deerminaion of hese cuoff produciviies leads o a sricly concave consan-elasiciy ransformaion curve beween domesic and epor varieies, adjused for he quaniy produced of each Meliz (2003) model We ouline here a wo counry version of he Meliz (2003) model ha does no assume symmery across he counries. We focus on he home counry H, while denoing foreign variables wih he superscrip F. A home here is a mass of M firms operaing in equilibrium. Each period, a fracion of hese firms go bankrup and are replaced by new enrans. Each new enran pays a fied cos of f e o receive a draw of produciviy from a cumulaive disribuion G( ), which gives rise o he marginal cos of w /, where w is he wage and labor is he only facor of producion. Only hose firms wih produciviy above a cuoff level * find i profiable o acually produce (he cuoff level will be deermined below). Leing M e denoe he mass of new enrans, hen [ 1 G( *)]M e firms successfully produce. In a saionary equilibrium, hese should

15 14 replace he firms going bankrup, so ha: [ 1 G( *)]Me M. (12) Condiional on successful enry, he disribuion of produciviies for home firms is hen: where g( ) if *, [1 G( *)] ( ) (13) 0 oherwise, g ( ) G( ) / is he densiy funcion. Home and foreign consumers boh have CES preferences ha are symmeric over produc varieies. Given home ependiure of wl, he revenue earned by a home firm from selling a he price p( ) is: where q( ) is he quaniy sold and 1 p( ) r( ) p( )q( ) wl, > 1, (14) H P H P is he home CES price inde. 11 The profimaimizing price from selling in he domesic marke is he usual consan markup over marginal coss: w p ( ). (15) 1 Using his, we can calculae variable profis from domesic sales as r ( ) (w / )q( ) r( ) /. The lowes produciviy firm ha jus breaks even in he domesic marke here saisfies he zero- cuoff-profi (ZCP) condiion: r( *) / wf q( *) ( 1)f *, (16) where f is he fied labor cos. Noe ha his cuoff condiion for he marginal firm is idenical o wha is obained in Krugman s (1980) model, in (7), for all firms.

16 15 While firms wih produciviies * find i profiable o produce for he * domesic marke, only hose wih higher produciviies * find i profiable o epor. A home eporing firm faces he iceberg ranspor coss of 1 meaning ha unis mus be sen in order for one uni o arrive in he foreign counry. Leing p ( ) and q ( ) denoe he price received and quaniy shipped a he facory-gae, he revenue earned by he eporer is: where ependiure. 1 p ( ) r ( ) p ( )q ( ) w * L *, (17) F P F P is he aggregae CES price in he foreign counry, and w*l* is foreign Again, he opimal epor price is a consan markup over marginal coss: w p ( ). (18) 1 The variable profis from epor sales are herefore r ( ) (w / )q ( ) r ( ) /, so he ZCP condiion for he eporing firm is: * r ( ) / wf q * * ( ) ( 1) f, (19) where f is he addiional fied labor cos for eporing. Provided ha r ( ) / f r( ) / f, which we assume is he case, hen he cuoff produciviy for he * eporing firm will eceed ha for he domesic firm, *. Then he mass of eporing firms is compued as: M * M( )d M. (20)

17 16 To close he model, we use he full employmen condiion and also zero epeced profis for any enran. The labor needed for domesic sales for a firm wih produciviy is [ q( ) / f ], and for epor sales is q ( ) / f ], so he full employmen condiion is: * [ [q ( ) / f ] ( ) d * L Me fe M [q( ) / f ] ( )d M, (21) where he disribuion of produciviies condiional on eporing is ( ) g( ) /[1 G( * )] if *, and zero oherwise. We can rewrie (21) by muliplying by w, and using he fac ha ( w / )q( ) r( )( 1) /, and likewise for eporers, o obain: w wl w M e f Mf M M f Mf M f wl, e e e f 1 M 1 * r( ) ( )d M * r ( ) ( )d where he second line is obained using he definiion of GDP, wih zero epeced profis. I follows immediaely ha here is a linear ransformaion curve beween he mass of enering, domesic and eporing firms, ha is: L M f Mf M f. (22) e e To obain furher resuls, we assume a Pareo disribuion for produciviies: G ( ) 1, wih 1 0. (23) In ha case, i can be shown (see he Appendi) ha he number of enering firms is proporional o he labor force, M e L( 1) / f, which was assumed by Chaney e

18 17 (2008), for eample. So he ransformaion curve beween domesic and epor varieies is furher simplified as: L Mf M f. (24) ( 1) The fac ha his ransformaion curve is linear beween he mass of domesic and epored varieies is similar o ha found in he Krugman (1980) model, in (7). Bu his fac does no ell us abou he ransformaion curve beween he economy s oupus, because we also need o ake ino accoun he quaniy produced of each variey. In Krugman s model, he quaniy produced by each firm is fied, as in (6), so he ransformaion is also linear in he quaniy produced by any groups of firms. Bu in he Meliz (2003) model, only he zero-profi-cuoff firm has oupu idenical o ha in Krugman s model, and he cuoff produciviy * iself is endogenously deermined. So o deermine he ransformaion curve for he economy, we firs need o deermine he correc measure of oupu used o adjus he varieies M and M. To deermine he appropriae measure of quaniy, i is convenien o inver he demand curve and rea revenue as a funcion of quaniy, so from (14) we obain: 1 d q( ) H r ( ) A, where wl A d P. (25) H P We inroduce he noaion A d as shif parameer in he demand curve facing home firms for heir domesic sales. I depends on he CES price inde ependiure wl. Likewise, epor revenue can be wrien as: 1 H P, and also on domesic

19 18 1 ( ) Aq ( ) r, where F P iw * L * A. (26) F P 1 Inegraing domesic and epor revenue over firms, we obain GDP: wl A M d * q( ) 1 ( )d A M 1 q ( ) ( ) d. (27) * Thus, in order o measure GDP he mass of domesic and epor varieies are muliplied by he quaniies shown above. Feensra and Kee (2008) demonsrae ha he firs-order condiions for maimizing GDP subjec o he resource consrain for he economy, aking A and A as given, are precisely he monopolisic compeiion equilibrium condiions. So he quaniies appearing in his epression are he righ way o adjus he mass of domesic and epor varieies. We can simplify hese quaniies by noing ha CES demand, combined wih consan-markup prices in (15), imply ha he quaniy sold equals ~ ) q( ) ( / q( ~ ) for any choice of reference produciviy ~. We follow Meliz (2003) in specifying ~ as average produciviy: and likewise for he average produciviy 1/( 1) ~ ( 1) ( )d *, (28) ~ for eporers, compued using * and. I follows ha GDP simply equals ( A M ~ A M ~ d ), using he adjused mass of varieies: ( 1) / ( 1) / M ~ Mq( ~ ) and M ~ M q ( ~ ). (29)

20 19 To simplify his epression for GDP furher, we noe ha a propery of he Pareo disribuion is ha an inegral like (28) is always a consan muliple of he lower bound of inegraion. Tha is: ~ ( 1) 1/( 1) *, (30) as obained by evaluaing he inegral in (28), which is finie provided ha 1. The cuoff produciviy * is in urn relaed o he mass of firms by [ 1 G( *)]Me M, and using he mass of enering firms follows ha: M e L( 1) / f and he Pareo disribuion, i e fe ( *) M. (31) L( 1) Gahering ogeher hese resuls, we can use q( ~ ) ( ~ / *) q( *) o compue ha he adjused mass of domesic varieies is: ( 1) ~ M f M ~ 1 1 e M q( *) [( 1)f*] k1f M, * ( 1) L where he second equaliy uses (30) and he ZCP condiion q( *) ( 1)f *, and he hird follows from (31), where k 1 > 0 depends on he parameers, and. Thus, he adjused mass of domesic varieies is an increasing bu nonlinear funcion of he mass M. A similar epression holds for epors, bu replacing f, M, and M ~ wih f, M, and M ~. Solving for M and M and subsiuing hese ino he linear ransformaion curve (24), we obain a concave ransformaion curve beween M ~ and M ~, wih elasiciy 1 0 : ( 1)

21 20 /( 1) 1 ( 1)( 1) 1 ( 1)( 1) 1 1 1/( 1) 2 e M ~ L k f f M ~ f, (32) where k 2 > 0 again depends on he parameers, and. Summing up, from he Meliz (2003) model we have obained a consanelasiciy ransformaion curve, wih elasiciy 1 0, jus like in (9) as we ( 1) iniially assered. Our earlier resuls in Theorems 1 and 2 coninue o apply o his ransformaion curve. In paricular, consider he problem of maimizing A M ~ A M ~ ) ( d subjec o his ransformaion curve. This Lagrangian problem leads o he following soluion, analogous o (10): Theorem 3 (Feensra and Kee, 2008) Assume ha he disribuion of firm produciviy is Pareo, as in (23). Then maimizing GDP subjec o he ransformaion curve (32) resuls in e(a d, A ) L, where: w e(a d, A ) k 1 1/( 1) 2fe A 1 d f 1 ( 1) A 1 1 ( f 1) 1 ( 1). (33) The funcion e(ad, A ) is he revenue earned wih L = 1 on he ransformaion curve, and equals wages. Noe ha he eponens appearing on he fied coss f and f in (33) ( 1) are obained as (1 ) ] 1 0. This epression also appears as he [ ( 1) eponen on fied coss in he graviy equaion of Chaney (2008). We can now apply Theorem 2 o compue he gain from rade. Denoing auarky by 1, he economy is a he corner of he ransformaion curve wih

22 A 1 1 M ~ 21 0, as illusraed by poin A in Figure 5. Using o denoe he rade siuaion, under free rade we have A 0 and M ~ 0, as a poin C. We can herefore evaluae he gain from rade as he raio of real wages in rade and under auarky: w w 1 / P H / P H 1 A A w w e(a e(a d d1 1 d / P d 1 R d wl H / P, A ) P,0) P H 1 1 H H R d w L 1 P P H H (34) where he firs line follows from wages in Theorem 3; he second line follows from Theorem 2, using he domesic price A d as he common good available boh periods, wih spending on domesic goods in period of R ; and he hird line follows d AdM ~ direcly from he definiion of A d in (25). We use his equaion o solve for he raio of real wages, obaining he resul: Theorem 4 (Arkolakis, e al, 2008b) The gains from rade in he Meliz (2003) model are: w w 1 / P H / P H 1 R d wl R d w L 1, (35) where he final equaliy is obained because 1, so 1 ( 1) 1. ( 1) 1 Noe ha he raio of domesic ependiure R d o oal income w L is equal o one minus he impor share, so his formula is idenical o he gains from rade in he

23 22 Krugman (1980) model, ecep ha we replace he eponen 1 ( 1) in ha case wih 1 in (35). This resul is precisely he resul derived by Arkolakis e al (2008b), and remarkably, he elasiciy of subsiuion does no ener he formula a all (ecep insofar as i affecs he impor share). Our derivaion gives some inuiion as o where his simple formula comes from. Namely, he movemen from a corner of he ransformaion curve A in Figure 5, wih epors equal o zero, o an inerior posiion like C, gives rise o gains equal o one minus he impor (or epor) share wih he eponen 1 ( 1), which is a sraighforward applicaion of Theorem 2 on he producion side of he economy. We migh inerpre hese gains as due o epor variey. These gains are shown in he second line of (34), and reflec he increase in wages due o he produciviy improvemen as he eporing firms drive ou less producive domesic firms. Bu in addiion, his produciviy improvemen drives down prices, and herefore furher increase real wages: ha is shown as we subsiue for he endogenous value of A d, and hereby solve for real wages in (35). Through hese wo channels, he gains equal one minus he impor (or epor) share wih he eponen 1. This eponen eceeds ( 1) ( 1) 1 in absolue value, which appears on he las erm in (34), so he feedback effec hrough real wages amplifies he gains from rade. Bu his eponen is less han 1 ( 1) in absolue value, since ( 1), so he gain are less han in he Krugman (1980) model. 12 Bu wha abou any furher gain due o impor variey? Now we mus be careful, because he Meliz model leads o he ei of domesic firms and herefore a reducion in domesic varieies, which mus be weighed agains he increase in impor variey. Baldwin and Forslid (2009) argue ha he oal number of produc varieies falls wih

24 23 rade liberalizaion, whereas Arkolakis e al (2008b) show ha i can rise or fall. Bu simply couning he oal number of varieies is no he righ way o evaluae he welfare gains: insead, we need o ake he raio 1/( 1) / 1) ( on he consumpion side of he economy, as in Theorem 2. As we now show, his raio urns ou o be uniy: he gains due o new impor varieies are eacly offse for reduced domesic varieies. Therefore, he producion-side gains we have already idenified in Theorem 4 are all ha is available. To obain his resul, we use he CES price inde for he Meliz model: P H * p( ) 1 M( )d F* p F ( ) 1 M F F ( )d 1 1, (36) where F* denoes he zero-profi-cuoff for he foreign eporers, wih prices p F ( ). This CES price inde is concepually idenical o wha we referred o as he uniependiure funcion in (2). The average prices of domesic goods appearing in (36) are: w p( ) M ( )d M 1 1 ~, (37) * which uses he prices (15) ogeher wih he definiion of average produciviy in (28). When comparing auarky (denoed by 1) wih free rade (denoed by ), we need o ake ino accoun he changing price of domesic goods and heir changing variey, as in (37), along wih he fac he all impored goods are new. Applying Theorem 2 gives rise o he following raio of uni-ependiures: P P H H w / ~ R d / w L w ~ 1 / 1 M / M. (38) 1

25 24 The firs erm appearing on he righ of (38) is jus he change in he average price of domesic goods, reflecing he change in wages and in average produciviy. The aggregae domesic good is available in boh periods, so he firs erm reflecs he Sao- Varia inde P SV over he common good in Theorem 2. The numeraor of he second erm on he righ is he spending on domesic goods relaive o oal spending in period ; his equals in Theorem 2, or one minus he share of spending on new impored varieies. The denominaor of he second erm is -1 in Theorem 2, and reflecs he reducion in he number of domesic varieies, M < M -1. We now show ha M / M 1= R d / wl in (38), so he reducion in he number of domesic varieies jus cancels wih share of spending on new impored varieies, and here are no furher consumpion gains. This resul is obained from he ZCP condiion for domesic firms, in (16). The second epression appearing in (16) is q( *) ( 1)f *, which is familiar from he Krugman model see (7). We will combine his wih he firs epression appearing in (16), r( *) / wf, which can be rewrien using he inverse demand curve in (25), o obain: A A d 1 * d q( ) 1 ww * 1 1 q( 1 ). Using he definiion A H H 1/ d P (wl / P ), we readily simplify his epression as: q( q( ) w ) w * H / P * H 1 1 / P 1 Now using he ZCP condiion ha q( *) ( 1)f *, we immediaely obain:.

26 25 w w * H / P * H 1 1 / P 1, (39) so ha he increase in real wages reflecs he increase in he ZCP produciviies. From (30) he raio of ZCP produciviies equals he raio of average produciviies, ~ / ~ ), ( 1 hen comparing (38) wih (39) we immediaely see ha M / M 1= R d / wl, as we inended o show. These resuls from he Meliz (2003) model obviously challenge he empirical finding of Broda and Weinsein (2008), who reaed domesic varieies as unchanged. In he ne secion, we consider an alernaive framework o CES ha allows for changes in domesic varieies as well as changes in he markups charged by firms. Changing markups have already been inroduced in heory by Meliz and Oaviano (2008), using a quadraic uiliy funcion wih an addiively separable numeraire good, leading o linear demand funcions. As useful as ha framework is, is zero income elasiciies sugges ha in empirical applicaion i is bes suied for parial equilibrium analysis. We will consider insead a ranslog ependiure funcion, which has income elasiciies of uniy and price elasiciies ha are no consan. Before urning o he ranslog case, we conclude by noing ha he gains from rade in he Meliz (2003) model have been esimaed on he producion side of he economy. Inuiively, movemens along he ransformaion curve in Figure 5 due o greaer epor variey will be associaed wih higher GDP and produciviy. Tha hypohesis is srongly confirmed empirically by Feensra and Kee (2008). They analyze 48 counries eporing o he U.S. over , and find ha average epor variey o he Unied Saes increases by 3.3% per year, so i nearly doubles over hese wo

27 26 decades. Tha oal increase in epor variey is associaed wih a cumulaive 3.3% produciviy improvemen for eporing counries, i.e. afer wo decades, GDP is 3.3% higher han oherwise due o growh in epor variey, on average. Tha esimae is greaer han he welfare gains for he U.S. found by Broda and Weinsein (2006), which was ha afer 30 years, real GDP was 2.6% higher han oherwise due o growh in impor variey. Of course, because he U.S. has a low impor share we migh epec o find greaer gains o eporers, bu hese resuls sill demonsrae ha he gains on he producion side of he economy can be subsanial. 4. Translog Ependiure Funcion We urn now o consider a ranslog uni-ependiure funcion. In a monopolisic compeiion model we need o be eplici abou which goods and available and which are no, so le N ~ denoe he maimum number of goods conceivably available, which we rea as fied. The ranslog uni-ependiure funcion (Diewer,1976) is defined as: 13 N ~ N ~ N ~ 1 0 i ln pi 2 ij ln pi ln p j i1 i1 j1 ln e, wih ij = ji and i > 0. (40) Noe ha he resricion ha ij = ji is made wihou loss of generaliy. To ensure ha he ependiure funcion is homogenous of degree one, we add he condiions ha: N ~ i 1 i1 N ~, and ij 0 i1. (41) The share of each good in ependiure is obained by differeniaing (40) wih respec o ln pi, obaining: N ~ s ln p. (42) i i j1 ij j

28 27 These shares mus be non-negaive, of course, bu we will allow for a subse of goods o have zero shares because hey are no available for purchase. To be precise, suppose ha s i > 0 for i=1,,n, while s j = 0 for j=n+1,, N ~. Then for he laer goods, we se s j = 0 wihin he share equaions (42), and use hese ( N ~ N) equaions o solve for he reservaion prices ~ ~ p j, j=n+1,, N, in erms of he observed prices pi, i=1,,n. Solving for he reservaion prices inroduces a level of compleiy ha did no arise in he CES case, where reservaion prices are infinie: in he ependiure funcion (2), an infinie reservaion price raised o he negaive power ( 1 ) simply vanishes. To solve for finie reservaion prices in he ranslog case, i is essenial o simplify he ranslog by imposing he addiional symmery requiremens: N~ 0, and 0 for i j, N ~ 1 ii ij N ~ wih i, j = 1,, N ~. (43) I is readily confirmed ha he resricions in (43) saisfy he homogeneiy condiions (41), and also guaranee ha he reservaion prices are finie. Because N ~ is a fied number, (43) simply says ha he mari has a negaive consan on he diagonal, and a posiive consan on he off-diagonal, chosen so ha he rows and columns sum o zero. The resricions in (43) are no familiar from he ranslog lieraure, bu are essenial o solve for reservaion prices for goods no available. Noe ha we have no resriced he i > 0 parameers, hough hey mus sum o uniy as in (41), so here are N ~ 1 free i parameers. 14 In addiion, we have he free parameer 0 in (40) as well as > 0 in (43), so here are a oal of N ~ 1 free parameers in his symmeric ranslog funcion. Tha is he same number of free parameers in our non-symmeric CES funcion (1), where we allowed for N ~ parameers a i > 0 (possibly changing over ime)

29 28 along wih he elasiciy > 1. So in describing he ranslog case as symmeric we are comparing i o he empirical version ha does no use (43); while in describing he CES funcion as non-symmeric we are comparing i o he heoreical version in monopolisic compeiion models ha assumes a i 1, i = 1, N ~. In fac, boh he CES funcion in (1) and he ranslog in (40) have he same number of free parameers, or degree of symmery, which we have chosen o be racable in a monopolisic compeiion framework. resul: The usefulness of he symmeric resricions in (43) is shown by he following Theorem 5 (Feensra, 2003; Bergin and Feensra, 2009) Using he symmery resricions (43), suppose ha only he goods i=1,,n are available, so he reservaion prices funcion equals: ~ ~ p j for j=n+1,, N are used. Then he uni-ependiure N N N 1 0 ai ln pi b 2 ij ln pi ln p j i1 i1 j1 ln e a, (44) where: b ii (N 1) 0, and bij 0 for i j wih i, j = 1,,N, (45) N N 1 i i 1 N N i 1 a, for i = 1,,N, (46) i a N ~ in 1 2 i 1 N N ~ i N1 2 i. (47) Noice ha he ependiure funcion in (44) looks like a convenional ranslog funcion defined over he goods i=1,,n, while he symmery resricions coninue o

30 29 hold in (45), bu are defined now using he number of available goods N, which can change over ime. As N grows, for eample, we find ha he price elasiciy of demand also grows because goods are closer subsiues. To inerpre (46), i implies ha each of he coefficien i is increased by he same amoun o ensure ha he coefficiens a i sum o uniy over i=1,,n. The final erm a 0, appearing in (47), incorporaes he coefficiens i of he unavailable producs. If he number of available producs N rise, hen a 0 falls, indicaing a welfare gain from increasing he number of available producs. Theorem 5 is a promising sar owards using he ranslog funcion in monopolisic compeiion models. For heoreical work, his resul is all ha is needed and i shows ha he ranslog sysem can join he quadraic preferences used by Meliz and Oaviano (2008) as being racable alernaives o he CES case. Furhermore, boh he ranslog and quadraic preferences allow for endogenous markups. 15 The real advanage of he ranslog uni-ependiure funcion is on empirical grounds. As argued by Diewer (1976), i has a number of convenien properies: i is obained from homoheic preferences, provides a second-order approimaion o an arbirary ependiure funcion, and corresponds o he Törnqvis price inde, which is very close o price inde formulas ha are used in pracice. Feensra and Weinsein (2009) develop an alernaive formula for he welfare gain from new producs, beyond Theorem 5, ha depends on he observable ependiure shares on goods and can herefore be implemened. The erms appearing in he formula for he welfare gain are analogous o hose appearing in (47), bu using observable ependiure shares in place of i : he welfare gain from new producs depends on he sum of squared shares, and on he square of he sum of shares, of new producs. The sum

31 30 of squared produc shares or Herfindahl indees also deermine he average markups charged by firms in each marke. Increased shares of impors and reduced U.S. shares can lead o reduced U.S. markups, and also conribue o variey gains. For hese reasons, he ranslog case offers a promising heoreical and empirical framework o assess he gains from impor variey and he effec of impors on reducing markups. 5. Conclusions This paper is abou measuremen: how o measure he gains from rade ha arise in he monopolisic compeiion model. The CES funcional form, inroduced ino he monopolisic compeiion model by Dii and Sigliz (1977) and adoped by Krugman (1980, 1981) and laer lieraure, is jus as convenien in empirical work as i is in heory. Using his funcional form, Feensra (1994) showed how he gains from new produc varieies depend on heir ependiure share as well as on he elasiciy of subsiuion. The ependiure on new impored producs, or more precisely, on new source counries for impors, are available from highly disaggregae rade saisics. In addiion, esimaes of he elasiciy of subsiuion beween source counries for impors can be obained using he same disaggregae rade saisics over ime, as described in Feensra (1994). Broda and Weinsein (2006) applied hese mehods o impor daa for he Unied Saes, and find ha he gains from new source counries for impors can be subsanial: by 2001, hese gains amoun o 2.6% of U.S. GDP. Recenly, aenion has shifed in he monopolisic compeiion lieraure o he producion side of he economy. Whereas Dii and Sigliz (1977) and Krugman (1980, 1981) relied on he symmery assumpion ha all firms are idenical, Meliz (2003) was able o inroduce heerogeneiy in he produciviy of firms. This framework allows firms

32 31 o have sochasic draws of produciviy, bu sill imposes ha firm profis are zero e ane, as required by free enry ino he indusry. This eension o he monopolisic compeiion model is well-grounded in empirical observaions: i allows for only a subse of firms in he indusry he more efficien firms o be eporers. In he Canadian cone, Trefler (2004) showed ha he ei of less-efficien firms led o a subsanial increase in average indusry produciviy following he Canada-U.S. free rade agreemen, which suppors he Meliz model. We have eplored he indusry-level implicaions of he Meliz model, and found ha i leads o a concave, consan-elasiciy ransformaion curve beween domesic and epor varieies, adjusing for he appropriae quaniy of each. Analogous o he CES resuls on he consumer side, he gains from rade depend on he share of revenue devoed o epors and on he elasiciy of ransformaion, which iself depends on he elasiciy of subsiuion and on he Pareo parameer for produciviy draws. Remarkably, once we ake ino accoun he general equilibrium increase in spending following rade liberalizaion (i.e. endogeneiy of he shif parameers A d ), hen he gains from rade simplify so ha hey depend on he share of revenue devoed o epors (or equivalenly, impors), and on he Pareo parameer. This confirms he very simple formula for he gains from rade found by Arkolakis e al (2008b). All hese gains come from he producion side of he economy, and here are no furher gains from produc variey on he consumpion side: he gains from impor varieies jus cancel wih he losses from reduced domesic varieies. Tha resuls follows from having an inerior soluion where only a fracion of he domesic firms are eporers: if all firms epored or no firms

33 32 epored in some indusries, hen we would epec o again see consumpion gains from variey as in Krugman (1980, 1981). The final opic we have discussed is he gains from rade due o reduced markups charged by firms, as in Krugman (1979). I is worh emphasizing ha hese are social gains and no jus a ransfer from firms o consumers. In Krugman (1979), reduced markups combined wih zero profis in equilibrium imply ha firms are moving down heir average cos curves, aking greaer advanage of economies of scale. So he reducion in consumer prices due o reduced markups do no come a he epense of firms profis. In order o measure hese gains we mus move beyond he CES case, however, where markups are consan. In heory, he quadraic uiliy funcion used by Meliz and Oaviano (2008) offers a very useful form of endogenous markes. Because his uiliy funcion uses an addiively separable numeraire good, all oher producs all have income elasiciies of zero. On empirical grounds, we recommend insead he ranslog uniependiure funcion, which corresponds o homoheic preferences (income elasiciies of uniy). Unlike he CES case, goods hen have finie reservaion prices ha mus be solved for. Feensra (2003) and Bergin and Feensra (2009) show how his ependiure funcion, when simplified o allow for some symmery across goods, has a convenien soluion for he reservaion prices ha can be subsiued back ino he ependiure funcion, obaining a racable form even as he number of goods varies. Feensra and Weinsein (2009) are making use of his funcional form o esimae he impac of globalizaion on markes and produc variey in he U.S. marke. I can be epeced ha applicaions o many oher counries will follow, hereby allowing us measure his hird source of gains from rade due o monopolisic compeiion.

34 33 Appendi ha: Using L M f Mf M f and he full employmen condiion, we have e e 1 L M Evaluaing hese inegrals: * [q( ) / ] ( )d M [q ( ) / ] ( ) d *, * [q( ) / ] ( )d * q( *) * q( *) * * * q( *) * ( 1) * ( 1) f, ( 1) 1 ( )d ( *) 1 d 1 * where he firs line uses q( ) ( / *) q( *) and he las line uses q( *) / * ( 1) f. Likewise, [ q ( ) / ] ( )d f * ( 1). ( 1) Subsiuing hese in o he full employmen condiion above we obain: L Mf M f, ( 1) from which i follows ha M e L( 1) / f. e

35 34 Foonoes Lead foonoe: Prepared as a Sae of he Ar lecure for he Canadian Economics Associaion meeings, Torono, May 29-30, The auhor hanks Cosas Arkolakis and he anonymous referees for helpful commens. Financial suppor was provided by he Naional Science Foundaion gran SES See also he early conribuions of Dii and Norman (1980, chaper 9), Lancaser (1980) and Helpman (1981); hese various approaches were inegraed by Helpman and Krugman (1985). 2 Feensra (2006) shows ha an infinie reservaion price leads o a well-behaved limi for he quadraic mean of order r inde number formula of Diewer (1976), providing an alernaive proof of Theorem 1 below. 3 In paricular, we are ruling ou having a second secor, as someimes inroduced ino his model o obain a home marke effec; see Krugman (1980, secion III). 4 See Arkolakis e al (2008a, p. 3) is omied because Wes and Eas Germany unified hen, making comparisons wih laer years difficul. 6 In addiion, counries ha are suspeced of selling a changing range of produc varieies wihin each HS good should be ecluded from he se I, and insead included in he erms. 7 One he empirical side, papers ha assess he imporance of differeniaed inermediae inpus include Broda, Greenfield and Weinsein (2006), Goldberg e al (2008), and he earlier conribuions of Feensra e al (1999) and Funke and Ruhwedel (2000a,b, 2001). 8 Noice ha he range 0 1 canno be considered, since hen all goods are essenial

36 35 in (1), wih a zero quaniy for any single good resuling in zero for he enire CES aggregae. In ha case he welfare gain from a new good is poenially infinie, as we find in (5) as 1. 9 Diewer (1987, p. 499) noes ha when a new good becomes available for a producer, we should use is reservaion prices in he period before, when he good is no available. 10 Ineresingly, Bergsrand (1985, 1989) and Bergsrand and Baier (2001) assume a consan elasiciy of ransformaion curve beween firm oupus of each variey. The derivaion here can be viewed as a micro-foundaion of such an approach. 11 Equaion (14) follows from he sandard CES demand funcion, H H q( ) [p( ) / P ] (wl / P ), where we define he price inde in (36) below. 12 As discussed in noe 3, we did no allow for a second secor in he Krugman model, which would influence he gains from rade. Likewise, Balisreri, Hillberry and Ruherford (2009) show how he gains from rade in he Meliz model are heavily influenced when a second secor is added. 13 The ranslog direc and indirec uiliy funcions were inroduced by Chrisensen, Jorgenson and Lau (1975), and he ependiure funcion in (40) was proposed by Diewer (1976, p. 122). 14 Feensra (2003) adds an addiional symmery resricion on he i parameers, bu Bergin and Feensra (2009) show ha Theorem 5 below can be obained wihou ha resricion. 15 For oher funcional forms ha allow for endogenous markups see Behrens e al (2007, 2008) and Simonovska (2009).

NBER WORKING PAPER SERIES MEASURING THE GAINS FROM TRADE UNDER MONOPOLISTIC COMPETITION. Robert C. Feenstra

NBER WORKING PAPER SERIES MEASURING THE GAINS FROM TRADE UNDER MONOPOLISTIC COMPETITION. Robert C. Feenstra NBER WORKING PAPER SERIES MEASURING THE GAINS FROM TRADE UNDER MONOPOLISTIC COMPETITION Rober C. Feensra Working Paper 5593 hp://www.nber.org/papers/w5593 NATIONAL BUREAU OF ECONOMIC RESEARCH 050 Massachuses

More information

T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 2011 EXAMINATION

T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 2011 EXAMINATION ECON 841 T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 211 EXAMINATION This exam has wo pars. Each par has wo quesions. Please answer one of he wo quesions in each par for a

More information

Explaining Total Factor Productivity. Ulrich Kohli University of Geneva December 2015

Explaining Total Factor Productivity. Ulrich Kohli University of Geneva December 2015 Explaining Toal Facor Produciviy Ulrich Kohli Universiy of Geneva December 2015 Needed: A Theory of Toal Facor Produciviy Edward C. Presco (1998) 2 1. Inroducion Toal Facor Produciviy (TFP) has become

More information

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon 3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of

More information

Problem Set #1 - Answers

Problem Set #1 - Answers Fall Term 24 Page of 7. Use indifference curves and a curved ransformaion curve o illusrae a free rade equilibrium for a counry facing an exogenous inernaional price. Then show wha happens if ha exogenous

More information

This document was generated at 1:04 PM, 09/10/13 Copyright 2013 Richard T. Woodward. 4. End points and transversality conditions AGEC

This document was generated at 1:04 PM, 09/10/13 Copyright 2013 Richard T. Woodward. 4. End points and transversality conditions AGEC his documen was generaed a 1:4 PM, 9/1/13 Copyrigh 213 Richard. Woodward 4. End poins and ransversaliy condiions AGEC 637-213 F z d Recall from Lecure 3 ha a ypical opimal conrol problem is o maimize (,,

More information

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims Problem Se 5 Graduae Macro II, Spring 2017 The Universiy of Nore Dame Professor Sims Insrucions: You may consul wih oher members of he class, bu please make sure o urn in your own work. Where applicable,

More information

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities: Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial

More information

Macroeconomic Theory Ph.D. Qualifying Examination Fall 2005 ANSWER EACH PART IN A SEPARATE BLUE BOOK. PART ONE: ANSWER IN BOOK 1 WEIGHT 1/3

Macroeconomic Theory Ph.D. Qualifying Examination Fall 2005 ANSWER EACH PART IN A SEPARATE BLUE BOOK. PART ONE: ANSWER IN BOOK 1 WEIGHT 1/3 Macroeconomic Theory Ph.D. Qualifying Examinaion Fall 2005 Comprehensive Examinaion UCLA Dep. of Economics You have 4 hours o complee he exam. There are hree pars o he exam. Answer all pars. Each par has

More information

CHAPTER 2: Mathematics for Microeconomics

CHAPTER 2: Mathematics for Microeconomics CHAPTER : Mahemaics for Microeconomics The problems in his chaper are primarily mahemaical. They are inended o give sudens some pracice wih he conceps inroduced in Chaper, bu he problems in hemselves offer

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature On Measuring Pro-Poor Growh 1. On Various Ways of Measuring Pro-Poor Growh: A Shor eview of he Lieraure During he pas en years or so here have been various suggesions concerning he way one should check

More information

Lecture Notes 3: Quantitative Analysis in DSGE Models: New Keynesian Model

Lecture Notes 3: Quantitative Analysis in DSGE Models: New Keynesian Model Lecure Noes 3: Quaniaive Analysis in DSGE Models: New Keynesian Model Zhiwei Xu, Email: xuzhiwei@sju.edu.cn The moneary policy plays lile role in he basic moneary model wihou price sickiness. We now urn

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

The Arcsine Distribution

The Arcsine Distribution The Arcsine Disribuion Chris H. Rycrof Ocober 6, 006 A common heme of he class has been ha he saisics of single walker are ofen very differen from hose of an ensemble of walkers. On he firs homework, we

More information

Seminar 4: Hotelling 2

Seminar 4: Hotelling 2 Seminar 4: Hoelling 2 November 3, 211 1 Exercise Par 1 Iso-elasic demand A non renewable resource of a known sock S can be exraced a zero cos. Demand for he resource is of he form: D(p ) = p ε ε > A a

More information

Online Appendix to Solution Methods for Models with Rare Disasters

Online Appendix to Solution Methods for Models with Rare Disasters Online Appendix o Soluion Mehods for Models wih Rare Disasers Jesús Fernández-Villaverde and Oren Levinal In his Online Appendix, we presen he Euler condiions of he model, we develop he pricing Calvo block,

More information

A Dynamic Model of Economic Fluctuations

A Dynamic Model of Economic Fluctuations CHAPTER 15 A Dynamic Model of Economic Flucuaions Modified for ECON 2204 by Bob Murphy 2016 Worh Publishers, all righs reserved IN THIS CHAPTER, OU WILL LEARN: how o incorporae dynamics ino he AD-AS model

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms

More information

Problem 1 / 25 Problem 2 / 20 Problem 3 / 10 Problem 4 / 15 Problem 5 / 30 TOTAL / 100

Problem 1 / 25 Problem 2 / 20 Problem 3 / 10 Problem 4 / 15 Problem 5 / 30 TOTAL / 100 eparmen of Applied Economics Johns Hopkins Universiy Economics 602 Macroeconomic Theory and Policy Miderm Exam Suggesed Soluions Professor Sanjay hugh Fall 2008 NAME: The Exam has a oal of five (5) problems

More information

E β t log (C t ) + M t M t 1. = Y t + B t 1 P t. B t 0 (3) v t = P tc t M t Question 1. Find the FOC s for an optimum in the agent s problem.

E β t log (C t ) + M t M t 1. = Y t + B t 1 P t. B t 0 (3) v t = P tc t M t Question 1. Find the FOC s for an optimum in the agent s problem. Noes, M. Krause.. Problem Se 9: Exercise on FTPL Same model as in paper and lecure, only ha one-period govenmen bonds are replaced by consols, which are bonds ha pay one dollar forever. I has curren marke

More information

A Note on Raising the Mandatory Retirement Age and. Its Effect on Long-run Income and Pay As You Go (PAYG) Pensions

A Note on Raising the Mandatory Retirement Age and. Its Effect on Long-run Income and Pay As You Go (PAYG) Pensions The Sociey for Economic Sudies The Universiy of Kiakyushu Working Paper Series No.2017-5 (acceped in March, 2018) A Noe on Raising he Mandaory Reiremen Age and Is Effec on Long-run Income and Pay As You

More information

Decomposing Value Added Growth Over Sectors into Explanatory Factors

Decomposing Value Added Growth Over Sectors into Explanatory Factors Business School Decomposing Value Added Growh Over Secors ino Explanaory Facors W. Erwin Diewer (UBC and UNSW Ausralia) and Kevin J. Fox (UNSW Ausralia) EMG Workshop UNSW 2 December 2016 Summary Decompose

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Linear Response Theory: The connecion beween QFT and experimens 3.1. Basic conceps and ideas Q: How do we measure he conduciviy of a meal? A: we firs inroduce a weak elecric field E, and

More information

ACE 562 Fall Lecture 5: The Simple Linear Regression Model: Sampling Properties of the Least Squares Estimators. by Professor Scott H.

ACE 562 Fall Lecture 5: The Simple Linear Regression Model: Sampling Properties of the Least Squares Estimators. by Professor Scott H. ACE 56 Fall 005 Lecure 5: he Simple Linear Regression Model: Sampling Properies of he Leas Squares Esimaors by Professor Sco H. Irwin Required Reading: Griffihs, Hill and Judge. "Inference in he Simple

More information

The general Solow model

The general Solow model The general Solow model Back o a closed economy In he basic Solow model: no growh in GDP per worker in seady sae This conradics he empirics for he Wesern world (sylized fac #5) In he general Solow model:

More information

Final Exam Advanced Macroeconomics I

Final Exam Advanced Macroeconomics I Advanced Macroeconomics I WS 00/ Final Exam Advanced Macroeconomics I February 8, 0 Quesion (5%) An economy produces oupu according o α α Y = K (AL) of which a fracion s is invesed. echnology A is exogenous

More information

Economics 8105 Macroeconomic Theory Recitation 6

Economics 8105 Macroeconomic Theory Recitation 6 Economics 8105 Macroeconomic Theory Reciaion 6 Conor Ryan Ocober 11h, 2016 Ouline: Opimal Taxaion wih Governmen Invesmen 1 Governmen Expendiure in Producion In hese noes we will examine a model in which

More information

Lecture Notes 5: Investment

Lecture Notes 5: Investment Lecure Noes 5: Invesmen Zhiwei Xu (xuzhiwei@sju.edu.cn) Invesmen decisions made by rms are one of he mos imporan behaviors in he economy. As he invesmen deermines how he capials accumulae along he ime,

More information

Appendix 14.1 The optimal control problem and its solution using

Appendix 14.1 The optimal control problem and its solution using 1 Appendix 14.1 he opimal conrol problem and is soluion using he maximum principle NOE: Many occurrences of f, x, u, and in his file (in equaions or as whole words in ex) are purposefully in bold in order

More information

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles Diebold, Chaper 7 Francis X. Diebold, Elemens of Forecasing, 4h Ediion (Mason, Ohio: Cengage Learning, 006). Chaper 7. Characerizing Cycles Afer compleing his reading you should be able o: Define covariance

More information

SMT 2014 Calculus Test Solutions February 15, 2014 = 3 5 = 15.

SMT 2014 Calculus Test Solutions February 15, 2014 = 3 5 = 15. SMT Calculus Tes Soluions February 5,. Le f() = and le g() =. Compue f ()g (). Answer: 5 Soluion: We noe ha f () = and g () = 6. Then f ()g () =. Plugging in = we ge f ()g () = 6 = 3 5 = 5.. There is a

More information

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 6 SECTION 6.1: LIFE CYCLE CONSUMPTION AND WEALTH T 1. . Let ct. ) is a strictly concave function of c

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 6 SECTION 6.1: LIFE CYCLE CONSUMPTION AND WEALTH T 1. . Let ct. ) is a strictly concave function of c John Riley December 00 S O EVEN NUMBERED EXERCISES IN CHAPER 6 SECION 6: LIFE CYCLE CONSUMPION AND WEALH Eercise 6-: Opimal saving wih more han one commodiy A consumer has a period uiliy funcion δ u (

More information

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3 and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or

More information

( ) (, ) F K L = F, Y K N N N N. 8. Economic growth 8.1. Production function: Capital as production factor

( ) (, ) F K L = F, Y K N N N N. 8. Economic growth 8.1. Production function: Capital as production factor 8. Economic growh 8.. Producion funcion: Capial as producion facor Y = α N Y (, ) = F K N Diminishing marginal produciviy of capial and labor: (, ) F K L F K 2 ( K, L) K 2 (, ) F K L F L 2 ( K, L) L 2

More information

HOTELLING LOCATION MODEL

HOTELLING LOCATION MODEL HOTELLING LOCATION MODEL THE LINEAR CITY MODEL The Example of Choosing only Locaion wihou Price Compeiion Le a be he locaion of rm and b is he locaion of rm. Assume he linear ransporaion cos equal o d,

More information

Math 333 Problem Set #2 Solution 14 February 2003

Math 333 Problem Set #2 Solution 14 February 2003 Mah 333 Problem Se #2 Soluion 14 February 2003 A1. Solve he iniial value problem dy dx = x2 + e 3x ; 2y 4 y(0) = 1. Soluion: This is separable; we wrie 2y 4 dy = x 2 + e x dx and inegrae o ge The iniial

More information

BU Macro BU Macro Fall 2008, Lecture 4

BU Macro BU Macro Fall 2008, Lecture 4 Dynamic Programming BU Macro 2008 Lecure 4 1 Ouline 1. Cerainy opimizaion problem used o illusrae: a. Resricions on exogenous variables b. Value funcion c. Policy funcion d. The Bellman equaion and an

More information

IMPLICIT AND INVERSE FUNCTION THEOREMS PAUL SCHRIMPF 1 OCTOBER 25, 2013

IMPLICIT AND INVERSE FUNCTION THEOREMS PAUL SCHRIMPF 1 OCTOBER 25, 2013 IMPLICI AND INVERSE FUNCION HEOREMS PAUL SCHRIMPF 1 OCOBER 25, 213 UNIVERSIY OF BRIISH COLUMBIA ECONOMICS 526 We have exensively sudied how o solve sysems of linear equaions. We know how o check wheher

More information

MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 4, 2011 BUILDING THE EQUILIBRIUM. p = 1. Dixit-Stiglitz Model

MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 4, 2011 BUILDING THE EQUILIBRIUM. p = 1. Dixit-Stiglitz Model MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 4, 211 Dixi-Sigliz Model BUILDING THE EQUILIBRIUM DS MODEL I or II Puing hings ogeher impose symmery across all i 1 pzf k( k, n) = r & 1 pzf n(

More information

2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes

2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes Some common engineering funcions 2.7 Inroducion This secion provides a caalogue of some common funcions ofen used in Science and Engineering. These include polynomials, raional funcions, he modulus funcion

More information

Section 4.4 Logarithmic Properties

Section 4.4 Logarithmic Properties Secion. Logarihmic Properies 59 Secion. Logarihmic Properies In he previous secion, we derived wo imporan properies of arihms, which allowed us o solve some asic eponenial and arihmic equaions. Properies

More information

The Simple Linear Regression Model: Reporting the Results and Choosing the Functional Form

The Simple Linear Regression Model: Reporting the Results and Choosing the Functional Form Chaper 6 The Simple Linear Regression Model: Reporing he Resuls and Choosing he Funcional Form To complee he analysis of he simple linear regression model, in his chaper we will consider how o measure

More information

Maintenance Models. Prof. Robert C. Leachman IEOR 130, Methods of Manufacturing Improvement Spring, 2011

Maintenance Models. Prof. Robert C. Leachman IEOR 130, Methods of Manufacturing Improvement Spring, 2011 Mainenance Models Prof Rober C Leachman IEOR 3, Mehods of Manufacuring Improvemen Spring, Inroducion The mainenance of complex equipmen ofen accouns for a large porion of he coss associaed wih ha equipmen

More information

Macroeconomics I, UPF Professor Antonio Ciccone SOLUTIONS PROBLEM SET 1

Macroeconomics I, UPF Professor Antonio Ciccone SOLUTIONS PROBLEM SET 1 Macroeconomics I, UPF Professor Anonio Ciccone SOUTIONS PROBEM SET. (from Romer Advanced Macroeconomics Chaper ) Basic properies of growh raes which will be used over and over again. Use he fac ha he growh

More information

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals

More information

Problem set 3: Endogenous Innovation - Solutions

Problem set 3: Endogenous Innovation - Solutions Problem se 3: Endogenous Innovaion - Soluions Loïc Baé Ocober 25, 22 Opimaliy in he R & D based endogenous growh model Imporan feaure of his model: he monopoly markup is exogenous, so ha here is no need

More information

Economic Growth & Development: Part 4 Vertical Innovation Models. By Kiminori Matsuyama. Updated on , 11:01:54 AM

Economic Growth & Development: Part 4 Vertical Innovation Models. By Kiminori Matsuyama. Updated on , 11:01:54 AM Economic Growh & Developmen: Par 4 Verical Innovaion Models By Kiminori Masuyama Updaed on 20-04-4 :0:54 AM Page of 7 Inroducion In he previous models R&D develops producs ha are new ie imperfec subsiues

More information

Inventory Control of Perishable Items in a Two-Echelon Supply Chain

Inventory Control of Perishable Items in a Two-Echelon Supply Chain Journal of Indusrial Engineering, Universiy of ehran, Special Issue,, PP. 69-77 69 Invenory Conrol of Perishable Iems in a wo-echelon Supply Chain Fariborz Jolai *, Elmira Gheisariha and Farnaz Nojavan

More information

This document was generated at 7:34 PM, 07/27/09 Copyright 2009 Richard T. Woodward

This document was generated at 7:34 PM, 07/27/09 Copyright 2009 Richard T. Woodward his documen was generaed a 7:34 PM, 07/27/09 Copyrigh 2009 Richard. Woodward 15. Bang-bang and mos rapid approach problems AGEC 637 - Summer 2009 here are some problems for which he opimal pah does no

More information

ACE 562 Fall Lecture 4: Simple Linear Regression Model: Specification and Estimation. by Professor Scott H. Irwin

ACE 562 Fall Lecture 4: Simple Linear Regression Model: Specification and Estimation. by Professor Scott H. Irwin ACE 56 Fall 005 Lecure 4: Simple Linear Regression Model: Specificaion and Esimaion by Professor Sco H. Irwin Required Reading: Griffihs, Hill and Judge. "Simple Regression: Economic and Saisical Model

More information

Final Exam. Tuesday, December hours

Final Exam. Tuesday, December hours San Francisco Sae Universiy Michael Bar ECON 560 Fall 03 Final Exam Tuesday, December 7 hours Name: Insrucions. This is closed book, closed noes exam.. No calculaors of any kind are allowed. 3. Show all

More information

Problem Set #3: AK models

Problem Set #3: AK models Universiy of Warwick EC9A2 Advanced Macroeconomic Analysis Problem Se #3: AK models Jorge F. Chavez December 3, 2012 Problem 1 Consider a compeiive economy, in which he level of echnology, which is exernal

More information

A Specification Test for Linear Dynamic Stochastic General Equilibrium Models

A Specification Test for Linear Dynamic Stochastic General Equilibrium Models Journal of Saisical and Economeric Mehods, vol.1, no.2, 2012, 65-70 ISSN: 2241-0384 (prin), 2241-0376 (online) Scienpress Ld, 2012 A Specificaion Tes for Linear Dynamic Sochasic General Equilibrium Models

More information

Solutions to Odd Number Exercises in Chapter 6

Solutions to Odd Number Exercises in Chapter 6 1 Soluions o Odd Number Exercises in 6.1 R y eˆ 1.7151 y 6.3 From eˆ ( T K) ˆ R 1 1 SST SST SST (1 R ) 55.36(1.7911) we have, ˆ 6.414 T K ( ) 6.5 y ye ye y e 1 1 Consider he erms e and xe b b x e y e b

More information

SZG Macro 2011 Lecture 3: Dynamic Programming. SZG macro 2011 lecture 3 1

SZG Macro 2011 Lecture 3: Dynamic Programming. SZG macro 2011 lecture 3 1 SZG Macro 2011 Lecure 3: Dynamic Programming SZG macro 2011 lecure 3 1 Background Our previous discussion of opimal consumpion over ime and of opimal capial accumulaion sugges sudying he general decision

More information

Intermediate Macro In-Class Problems

Intermediate Macro In-Class Problems Inermediae Macro In-Class Problems Exploring Romer Model June 14, 016 Today we will explore he mechanisms of he simply Romer model by exploring how economies described by his model would reac o exogenous

More information

Lecture 3: Solow Model II Handout

Lecture 3: Solow Model II Handout Economics 202a, Fall 1998 Lecure 3: Solow Model II Handou Basics: Y = F(K,A ) da d d d dk d = ga = n = sy K The model soluion, for he general producion funcion y =ƒ(k ): dk d = sƒ(k ) (n + g + )k y* =

More information

Econ107 Applied Econometrics Topic 7: Multicollinearity (Studenmund, Chapter 8)

Econ107 Applied Econometrics Topic 7: Multicollinearity (Studenmund, Chapter 8) I. Definiions and Problems A. Perfec Mulicollineariy Econ7 Applied Economerics Topic 7: Mulicollineariy (Sudenmund, Chaper 8) Definiion: Perfec mulicollineariy exiss in a following K-variable regression

More information

FITTING EQUATIONS TO DATA

FITTING EQUATIONS TO DATA TANTON S TAKE ON FITTING EQUATIONS TO DATA CURRICULUM TIDBITS FOR THE MATHEMATICS CLASSROOM MAY 013 Sandard algebra courses have sudens fi linear and eponenial funcions o wo daa poins, and quadraic funcions

More information

) were both constant and we brought them from under the integral.

) were both constant and we brought them from under the integral. YIELD-PER-RECRUIT (coninued The yield-per-recrui model applies o a cohor, bu we saw in he Age Disribuions lecure ha he properies of a cohor do no apply in general o a collecion of cohors, which is wha

More information

Final Spring 2007

Final Spring 2007 .615 Final Spring 7 Overview The purpose of he final exam is o calculae he MHD β limi in a high-bea oroidal okamak agains he dangerous n = 1 exernal ballooning-kink mode. Effecively, his corresponds o

More information

Decompositions of Productivity Growth into Sectoral Effects

Decompositions of Productivity Growth into Sectoral Effects Decomposiions of Produciviy Growh ino Secoral Effecs W. Erwin Diewer (Universiy of Briish Columbia, Canada, and UNSW, Ausralia) Paper Prepared for he IARIW-UNSW Conference on Produciviy: Measuremen, Drivers

More information

Guest Lectures for Dr. MacFarlane s EE3350 Part Deux

Guest Lectures for Dr. MacFarlane s EE3350 Part Deux Gues Lecures for Dr. MacFarlane s EE3350 Par Deux Michael Plane Mon., 08-30-2010 Wrie name in corner. Poin ou his is a review, so I will go faser. Remind hem o go lisen o online lecure abou geing an A

More information

R t. C t P t. + u t. C t = αp t + βr t + v t. + β + w t

R t. C t P t. + u t. C t = αp t + βr t + v t. + β + w t Exercise 7 C P = α + β R P + u C = αp + βr + v (a) (b) C R = α P R + β + w (c) Assumpions abou he disurbances u, v, w : Classical assumions on he disurbance of one of he equaions, eg. on (b): E(v v s P,

More information

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t... Mah 228- Fri Mar 24 5.6 Marix exponenials and linear sysems: The analogy beween firs order sysems of linear differenial equaions (Chaper 5) and scalar linear differenial equaions (Chaper ) is much sronger

More information

Lecture 2D: Rank-Size Rule

Lecture 2D: Rank-Size Rule Econ 460 Urban Economics Lecure 2D: Rank-Size Rule Insrucor: Hiroki Waanabe Summer 2012 2012 Hiroki Waanabe 1 / 56 1 Rank-Size Rule 2 Eeckhou 3 Now We Know 2012 Hiroki Waanabe 2 / 56 1 Rank-Size Rule US

More information

STATE-SPACE MODELLING. A mass balance across the tank gives:

STATE-SPACE MODELLING. A mass balance across the tank gives: B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing

More information

15.023J / J / ESD.128J Global Climate Change: Economics, Science, and Policy Spring 2008

15.023J / J / ESD.128J Global Climate Change: Economics, Science, and Policy Spring 2008 MIT OpenCourseWare hp://ocw.mi.edu 15.023J / 12.848J / ESD.128J Global Climae Change: Economics, Science, and Policy Spring 2008 For informaion abou ciing hese maerials or our Terms of Use, visi: hp://ocw.mi.edu/erms.

More information

2. Nonlinear Conservation Law Equations

2. Nonlinear Conservation Law Equations . Nonlinear Conservaion Law Equaions One of he clear lessons learned over recen years in sudying nonlinear parial differenial equaions is ha i is generally no wise o ry o aack a general class of nonlinear

More information

Full file at

Full file at Full file a hps://frasockeu SOLUTIONS TO CHAPTER 2 Problem 2 (a) The firm's problem is o choose he quaniies of capial, K, and effecive labor, AL, in order o minimize coss, wal + rk, subjec o he producion

More information

The Brock-Mirman Stochastic Growth Model

The Brock-Mirman Stochastic Growth Model c December 3, 208, Chrisopher D. Carroll BrockMirman The Brock-Mirman Sochasic Growh Model Brock and Mirman (972) provided he firs opimizing growh model wih unpredicable (sochasic) shocks. The social planner

More information

1. An introduction to dynamic optimization -- Optimal Control and Dynamic Programming AGEC

1. An introduction to dynamic optimization -- Optimal Control and Dynamic Programming AGEC This documen was generaed a :45 PM 8/8/04 Copyrigh 04 Richard T. Woodward. An inroducion o dynamic opimizaion -- Opimal Conrol and Dynamic Programming AGEC 637-04 I. Overview of opimizaion Opimizaion is

More information

Matrix Versions of Some Refinements of the Arithmetic-Geometric Mean Inequality

Matrix Versions of Some Refinements of the Arithmetic-Geometric Mean Inequality Marix Versions of Some Refinemens of he Arihmeic-Geomeric Mean Inequaliy Bao Qi Feng and Andrew Tonge Absrac. We esablish marix versions of refinemens due o Alzer ], Carwrigh and Field 4], and Mercer 5]

More information

Unit Root Time Series. Univariate random walk

Unit Root Time Series. Univariate random walk Uni Roo ime Series Univariae random walk Consider he regression y y where ~ iid N 0, he leas squares esimae of is: ˆ yy y y yy Now wha if = If y y hen le y 0 =0 so ha y j j If ~ iid N 0, hen y ~ N 0, he

More information

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits DOI: 0.545/mjis.07.5009 Exponenial Weighed Moving Average (EWMA) Char Under The Assumpion of Moderaeness And Is 3 Conrol Limis KALPESH S TAILOR Assisan Professor, Deparmen of Saisics, M. K. Bhavnagar Universiy,

More information

Robust estimation based on the first- and third-moment restrictions of the power transformation model

Robust estimation based on the first- and third-moment restrictions of the power transformation model h Inernaional Congress on Modelling and Simulaion, Adelaide, Ausralia, 6 December 3 www.mssanz.org.au/modsim3 Robus esimaion based on he firs- and hird-momen resricions of he power ransformaion Nawaa,

More information

not to be republished NCERT MATHEMATICAL MODELLING Appendix 2 A.2.1 Introduction A.2.2 Why Mathematical Modelling?

not to be republished NCERT MATHEMATICAL MODELLING Appendix 2 A.2.1 Introduction A.2.2 Why Mathematical Modelling? 256 MATHEMATICS A.2.1 Inroducion In class XI, we have learn abou mahemaical modelling as an aemp o sudy some par (or form) of some real-life problems in mahemaical erms, i.e., he conversion of a physical

More information

Lecture 2D: Rank-Size Rule

Lecture 2D: Rank-Size Rule Econ 4935 Urban Economics Lecure 2D: Rank-Size Rule Insrucor: Hiroki Waanabe Fall 2012 Waanabe Econ 4935 2D Rank-Size Rule 1 / 58 1 Rank-Size Rule 2 Eeckhou 3 Now We Know Waanabe Econ 4935 2D Rank-Size

More information

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

APPLICATION OF CHEBYSHEV APPROXIMATION IN THE PROCESS OF VARIATIONAL ITERATION METHOD FOR SOLVING DIFFERENTIAL- ALGEBRAIC EQUATIONS

APPLICATION OF CHEBYSHEV APPROXIMATION IN THE PROCESS OF VARIATIONAL ITERATION METHOD FOR SOLVING DIFFERENTIAL- ALGEBRAIC EQUATIONS Mahemaical and Compuaional Applicaions, Vol., No. 4, pp. 99-978,. Associaion for Scienific Research APPLICATION OF CHEBYSHEV APPROXIMATION IN THE PROCESS OF VARIATIONAL ITERATION METHOD FOR SOLVING DIFFERENTIAL-

More information

1. An introduction to dynamic optimization -- Optimal Control and Dynamic Programming AGEC

1. An introduction to dynamic optimization -- Optimal Control and Dynamic Programming AGEC This documen was generaed a :37 PM, 1/11/018 Copyrigh 018 Richard T. Woodward 1. An inroducion o dynamic opimiaion -- Opimal Conrol and Dynamic Programming AGEC 64-018 I. Overview of opimiaion Opimiaion

More information

Let us start with a two dimensional case. We consider a vector ( x,

Let us start with a two dimensional case. We consider a vector ( x, Roaion marices We consider now roaion marices in wo and hree dimensions. We sar wih wo dimensions since wo dimensions are easier han hree o undersand, and one dimension is a lile oo simple. However, our

More information

Two Coupled Oscillators / Normal Modes

Two Coupled Oscillators / Normal Modes Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own

More information

15. Vector Valued Functions

15. Vector Valued Functions 1. Vecor Valued Funcions Up o his poin, we have presened vecors wih consan componens, for example, 1, and,,4. However, we can allow he componens of a vecor o be funcions of a common variable. For example,

More information

Worker flows and matching efficiency

Worker flows and matching efficiency Worker flows and maching efficiency Marcelo Veraciero Inroducion and summary One of he bes known facs abou labor marke dynamics in he US economy is ha unemploymen and vacancies are srongly negaively correlaed

More information

1 Answers to Final Exam, ECN 200E, Spring

1 Answers to Final Exam, ECN 200E, Spring 1 Answers o Final Exam, ECN 200E, Spring 2004 1. A good answer would include he following elemens: The equiy premium puzzle demonsraed ha wih sandard (i.e ime separable and consan relaive risk aversion)

More information

1 Differential Equation Investigations using Customizable

1 Differential Equation Investigations using Customizable Differenial Equaion Invesigaions using Cusomizable Mahles Rober Decker The Universiy of Harford Absrac. The auhor has developed some plaform independen, freely available, ineracive programs (mahles) for

More information

3.1 More on model selection

3.1 More on model selection 3. More on Model selecion 3. Comparing models AIC, BIC, Adjused R squared. 3. Over Fiing problem. 3.3 Sample spliing. 3. More on model selecion crieria Ofen afer model fiing you are lef wih a handful of

More information

Bias in Conditional and Unconditional Fixed Effects Logit Estimation: a Correction * Tom Coupé

Bias in Conditional and Unconditional Fixed Effects Logit Estimation: a Correction * Tom Coupé Bias in Condiional and Uncondiional Fixed Effecs Logi Esimaion: a Correcion * Tom Coupé Economics Educaion and Research Consorium, Naional Universiy of Kyiv Mohyla Academy Address: Vul Voloska 10, 04070

More information

Unemployment and Mismatch in the UK

Unemployment and Mismatch in the UK Unemploymen and Mismach in he UK Jennifer C. Smih Universiy of Warwick, UK CAGE (Cenre for Compeiive Advanage in he Global Economy) BoE/LSE Conference on Macroeconomics and Moneary Policy: Unemploymen,

More information

ACE 562 Fall Lecture 8: The Simple Linear Regression Model: R 2, Reporting the Results and Prediction. by Professor Scott H.

ACE 562 Fall Lecture 8: The Simple Linear Regression Model: R 2, Reporting the Results and Prediction. by Professor Scott H. ACE 56 Fall 5 Lecure 8: The Simple Linear Regression Model: R, Reporing he Resuls and Predicion by Professor Sco H. Irwin Required Readings: Griffihs, Hill and Judge. "Explaining Variaion in he Dependen

More information

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems Essenial Microeconomics -- 6.5: OPIMAL CONROL Consider he following class of opimizaion problems Max{ U( k, x) + U+ ( k+ ) k+ k F( k, x)}. { x, k+ } = In he language of conrol heory, he vecor k is he vecor

More information

Product differentiation

Product differentiation differeniaion Horizonal differeniaion Deparmen of Economics, Universiy of Oslo ECON480 Spring 010 Las modified: 010.0.16 The exen of he marke Differen producs or differeniaed varians of he same produc

More information

Solutions Problem Set 3 Macro II (14.452)

Solutions Problem Set 3 Macro II (14.452) Soluions Problem Se 3 Macro II (14.452) Francisco A. Gallego 04/27/2005 1 Q heory of invesmen in coninuous ime and no uncerainy Consider he in nie horizon model of a rm facing adjusmen coss o invesmen.

More information

Predator - Prey Model Trajectories and the nonlinear conservation law

Predator - Prey Model Trajectories and the nonlinear conservation law Predaor - Prey Model Trajecories and he nonlinear conservaion law James K. Peerson Deparmen of Biological Sciences and Deparmen of Mahemaical Sciences Clemson Universiy Ocober 28, 213 Ouline Drawing Trajecories

More information

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow 1 KEY Mah 4 Miderm I Fall 8 secions 1 and Insrucor: Sco Glasgow Please do NOT wrie on his eam. No credi will be given for such work. Raher wrie in a blue book, or on our own paper, preferabl engineering

More information

Testing for a Single Factor Model in the Multivariate State Space Framework

Testing for a Single Factor Model in the Multivariate State Space Framework esing for a Single Facor Model in he Mulivariae Sae Space Framework Chen C.-Y. M. Chiba and M. Kobayashi Inernaional Graduae School of Social Sciences Yokohama Naional Universiy Japan Faculy of Economics

More information