Generalized Separability and the Gains from Trade
|
|
- Felix Ramsey
- 5 years ago
- Views:
Transcription
1 Generalzed Separablty and the Gans from Trade Thbault Fally UC Berkeley ARE September 2018 Abstract The vast majorty of models n nternatonal trade make strong assumptons on the structure of preferences, ether assumng homothetc, drectly-separable or ndrectly-separable preferences. These assumptons lead to sharp mplcatons for the quanttatve gans from trade, condtonal on estmated elastctes of trade to trade costs and observed mport penetraton. Ths note examnes the gans from trade under a more flexble demand system that encompasses the three cases of demand usually mposed, whle retanng the property that prces can be summarzed by a sngle aggregator. Combned wth monopolstc competton and Pareto dstrbutons of margnal costs on the supply sde (whch leads to gravty equatons), ths demand system yelds more flexble responses of prces to ncome and trade, and a wder range of predctons for the gans from trade. To estmate the gans from trade, ths note brefly descrbes an dentfcaton strategy explotng prce responses to changes n market access and trade costs. Keywords: Gans from trade, Gravty, Generalzed Separablty, Sngle aggregator, Non-homothetc preferences. JEL Classfcaton: F10, D11, D43, L11 UC Berkeley, Agrcultural and Resource Economcs Department, NBER and CEPR. Contact: fally@berkeley.edu. Many many thanks to Andrés Rodríguez-Clare for very helpful comments. 1
2 1 Introducton How large are the gans from nternatonal trade? Followng Arkolaks, Costnot and Rodrguez-Clare (2012), a large body of work has examned the gans from trade through the lens of varous types of trade models, usng mport penetraton as a suffcent statstc. The conclusons of Arkolaks et al. (2012) have been extended by examnng alternatve assumptons on both the demand sde and the supply sde. 1 Lookng nto the demand sde, recent work has shown that t s crucal to depart from homothetc constant-elastcty (CES) preferences to allow for varable markups, and non-trval prce responses. 2 However, exstng papers have focused on specfc types of preferences. In partcular, Arkolaks, Costnot, Donaldson and Rodrguez-Clare (2015, henceforth ACDR) focus on drectlyseparable as well as homothetc preferences, whereas Bertolett, Etro and Smonovska (2018) focus on ndrectly-separable preferences. Ths paper unfes and generalzes these approaches by consderng the generalzed Gorman-Pollak demand system 3 whch encompasses CES, drectly-separable, ndrectly separable, and specal cases of homothetc preferences. 4 Such demand system allows for more flexble prce and ncome effects than drectly or ndrectly-separable preferences, whle retanng the property that prces can be summarzed by a sngle aggregator (generalzed separablty), whch s partcularly convenent under monopolstc competton. Ths general form of demand has been seldom used perhaps for the lack of formal statements on ntegrablty condtons, whch are now provded n a companon paper (Fally, 2018). 5 On the supply sde, the model ncorporates standard assumptons of recent trade models (e.g. as n ACDR, Chaney, 2008, Meltz, 2003), monopolstc competton wth heterogeneous frms and Pareto dstrbutons of margnal costs. Wth generalzed Gorman-Pollak demand, the model generates a response of prce levels to percapta ncome, as n Bertolett et al (2018), whle retanng a dependence of prces to trade shocks as n ACDR. Wth varable markups and ncomplete pass-through of costs to prces, prces do not only depend on margnal costs but also on reservaton prces (choke prces) n the destnaton market, leadng to prcng to market. Generalzed separablty allows for a more flexble relatonshp between the choke prce, ncome levels, and the degree of competton n the destnaton market, whch tself depend on trade costs and proxmty to thrd markets. The gans from trade can stll be expressed as a smple functon of the changes n mport penetraton but the formula leads to a wder range of estmates, condtonal on markup and trade elastctes. Indrectly-addtve preferences provde a lower bound of the gans from trade and homothetc preferences provde a hgher bound. Wthn these bounds, all ntermedate outcomes are theoretcally possble. Rather than assumng a specfc shape of preferences, these results ndcate that more precse 1 See, e.g., Feenstra (2018a) and Costnot and Rodríguez-Clare (2018) for recent surveys. 2 Models extendng Meltz (2003) to ncorporate varable markups nclude Arkolaks et al. (2015), Bertolett et al. (2018), Smonovska (2015), Behrens et al. (2014), Feenstra (2018b), among others. 3 See Gorman (1972, 1995), Pollak (1972), Fally (2018). 4 Ths homothetc case corresponds to the homothetc sngle aggregator (HSA) demand system studed n Matsuyama and Ushchev (2017), whch yelds the same outcomes as the mplctly-addtve homothetc preferences n ACDR. 5 A recent excepton s Bertolett and Etro (2017). 2
3 estmates of demand systems are necessary to quantfy the gans from trade. In the last secton, I dscuss an emprcal strategy to estmate the gans from trade wth such a demand system. I consder a sem-parameterzaton of demand that encompasses drectly and ndrectly-addtve preferences, as well as homothetc demand wth a sngle prce aggregator. Assumng that econometrcans also have estmates of trade and markup elastctes, 6 the key addtonal parameter to estmate determnes how choke prces vary wth ncome and trade costs. To estmate ths addtonal parameter, a suggeston s to use frm-level data on export prces for a gven source country and regress these prces on changes n ncome and market access of destnaton countres (as measured for nstance n Head and Mayer, 2010, and Reddng and Venables, 2004). 2 A flexble demand system Ths secton descrbes the demand sde, and the next secton provdes results from the full generalequlbrum model. The notaton remans close to Arkolaks et al., 2015 (ACDR), whch we can refer to for more detals, especally on the supply sde. 2.1 Demand system Consumer ncome and total expendtures are denoted by w. For each good, we assume that demand s determned by ts prce p, consumer ncome w and an aggregator Λ: q(p, w, Λ) = Q(Λ)D(F (Λ)p/w) where Λ = Λ(p, w) s tself a scalar functon of all prces and ncome, homogeneous of degree zero n (w, p). Λ s mplctly defned by the budget constrant,.e. t s the mplct soluton of: p(ω)q(λ)d(f (Λ)p(ω)/w)dω = w (1) ω Ω where Ω denotes the set of goods avalable to the consumer and p(ω) s the prce of each varety ω Ω. Condtons for ntegrablty Assumng that all three functons D, F and Q are dfferentable, and assumng that D s suffcently downward sloppng and elastc,.e. ε D d log D d log p > 1, the followng two condtons are suffcent to ensure that such demand system s ntegrable (Fally 2018),.e. can be derved from ratonal consumer behavor and utlty maxmzaton: ) ε F (Λ)ε D (y) ε Q (Λ) has the same sgn for all Λ and y ) For any set of prces p(ω) and ncome w, equaton (1) admts a soluton n Λ. where ε Q and ε F denote the elastcty of Q and F wth respect to Λ. 6 For nstance, Smonovska and Waugh (2014) and Amt et al. (2014) respectvely provde estmates of the trade and markup elastctes that are consstent wth the framework that we consder here. 3
4 Specal cases These preferences are more general than typcally assumed n the trade lterature. They correspond to: Drectly-separable preferences when Q(Λ) s constant and F (Λ) = Λ. Indrectly-separable preferences when F (Λ) s constant and Q(Λ) = Λ. Homothetc Sngle Aggregator (Matsuyama and Ushchev 2018) when F (Λ) = Q(Λ) = Λ. Iso-elastc shfters, a useful parameterzaton: Q(Λ) = αλ β and F (Λ) = Λ γ. In the case wth so-elastc shfters Q and F, t s wthout loss of generalty to assume that γ {0, 1} (where the case γ = 0 corresponds to ndrectly-addtve preferences). 7 If γ = 1, a suffcent condton for ntegrablty s that β < ε D. Snce we assume that ε D > 1, a suffcent condton s β < 1. Note that β can be negatve, whch also ensures ntegrablty. Indrectly-addtve preferences can be seen as the lmt case β, whle drectly-separable preferences correspond to β = Choke prces Assume that D( ) s equal to zero when prces are hgh enough (.e. above a reservaton prce, or choke prce). Wthout loss of generalty, assume that D(x) = 0 f and only f x 1. Let us denote by P the choke prce, the prce above whch demand s null. It s then equal to: P = w F (Λ) (2) A central observaton by Smonovska (2015) and Bertolett et al. (2018) s that prces are more strongly correlated across countres wth per capta ncome than wth market sze or populaton. Ths motvates the use of ndrectly-addtve preferences rather than drectly-addtve preferences wth whch t s dffcult to quanttatvely reproduce the role of ncome. Wth ndrectly-addtve preferences, however, F s constant and the choke prce s proportonal to ncome. In contrast, the preferences used here allow for more flexblty n the general case. To fully characterze how the choke prce vares wth ncome n the more general case, we need to account for how ncome affects Λ. Dfferentatng w.r.t w, we obtan: d log Λ d log w = ε F ω Ω λ(ω)ε D(p(ω)/P )dω 1 ω Ω λ(ω)ε D(p(ω)/P )dω ε Q (3) where λ(ω) denotes the share of varety ω n total expendtures. Hence: d log P d log w = 1 ε d log Λ F d log w = 7 If γ 0, consder the change n varable Λ = Λ γ. ε F ε Q ε F ω Ω λ(ω)ε D(p(ω)/P )dω ε Q 4
5 where ε D s the elastcty of 1/D. In the so-elastc case wth F (Λ) = Λ and Q(Λ) = αλ β, we have: d log P d log w = 1 β ω Ω λ(ω)ε D(p(ω)/P )dω β where β can take any value between and 1. As β s assumed to be smaller than both 1 and ε D, rcher consumers have hgher choke prces and consume a larger varety of goods an emprcallyrelevant property (see e.g. Hummels and Klenow, 2005). 2.3 Markups under monopolstc competton Under monopolstc competton, we assume that each frm has a small market share and takes the prce aggregator Λ as gven. The prce elastcty that a frm s facng s gven the elastcty of functon D, and the markup s equal to: m = ε D(p/P ) ε D (p/p ) 1 = ε D(m c/p ) ε D (m c/p ) 1 (4) Convenently, ths s the same formula as n ACDR, because markups do not depend on Q and F once we know the choke prce P. As descrbed n Fally (2018), functon D can be very flexble, leadng to flexble patterns of markups across frms. As n ACDR, we further assume that the prce elastcty ε D s weakly ncreasng n the prce p/p (a.k.a. second law of demand ). Ths addtonal assumpton ensures that equaton (4) has a unque soluton n markups for each P/c, and mplctly defnes markups as a functon of the choke-prce-to-margnal-cost rato: m = µ(p/c). (5) Ths assumpton also mples that markups are larger for low-cost frms, whch s n lne wth emprcal evdence (see e.g. De Loecker and Warzynsk, 2012). 3 Trade, prces and the gans from trade We now embed these preferences n a trade model wth monopolstc competton as n ACDR. We consder multple asymmetrc countres, ndexed by and j. There s a sngle factor, labor, that s nelastcally suppled, wth populaton L n each country. Wages and per capta ncome are denoted by w, and L s also the number of consumers n country. Demand s as descrbed above, wth a choke prce denoted by P j = w j /F (Λ j ) n each destnaton country j. We assume blateral ceberg trade costs τ j 1 between and j. Ths leads to a cost thresholds c j = P j/(w τ j ). Frms n country wth margnal cost above w c j face zero demand n country j f they also ncur blateral ceberg trade costs τ j. We further assume that the margnal cost shfter c for each frm s drawn from a Pareto dstrbuton 5
6 wth coeffcent > 1, so that the cumulatve dstrbuton of the margnal cost s gven by: G (c) = b c where b s a parameter descrbng average productvty n country. Assumng that b s small enough, ths mples that the dstrbuton of margnal costs among frms n country exportng to destnaton j s a Pareto dstrbuton wth coeffcent and upper bound w c j. Fnally, we assume for smplcty that the mass of frms N s fxed Gravty As n ACDR, we obtan a gravty equaton thanks to the assumpton that margnal costs are drawn from a Pareto dstrbuton. Ths leads to aggregate trade between countres and j equal to: X j = χn b w τ j L j Q(Λ j )P 1+ j (6) where χ s a constant term (see Appendx). Trade X j s the product of a source-specfc term N b w, a dyadc trade cost term τj, and mportantly a destnaton-specfc term L jq(λ j )Pj 1+ whch depends on both the destnaton choke prce P j and the demand shfter Q(Λ j ). Note that the latter s constant when preferences are drectly separable, as often assumed wth gravty equatons. Let us remnd that Λ j s such that the budget constrant s satsfed, and that P j = w j /F (Λ j ). Summng equaton (6) for each destnaton j, ths s equvalent to mposng: X j /L j = χq(λ j )(w j /F (Λ j )) +1( N b (w τ j ) ) = w j (7) whch determnes Λ j, condtonal on all wages. Wth gravty equatons and Pareto dstrbutons, note also that aggregate profts are proportonal to aggregate trade: Π j = ζx j wth ζ < 1. As n ACDR, proportonalty holds even f we allow for varable markups. 3.2 Effect of trade costs on prces Let us normalze wages to unty w j = 1 for a specfc country j. Denote by ε Qj and ε F j the elastctes of Q and F evaluated at Λ j. By dfferentatng equaton (7) we obtan: d log P j = ε F j d log Λ j = ε F j ( + 1)ε F j ε Qj λ j d log(w τ j ) (8) where λ j refers to share of country n total mport of country j. Usng the nsght of Arkolaks et al. (2012), ths gravty framework wth elastcty mples that the changes n mport shares capture the changes n costs: λ jd log(w τ j ) = d log λ jj, and we obtan the followng proposton: 8 Note that the mass of frms remans constant under free entry wth sunk costs and Pareto-dstrbuted productvty. 6
7 Proposton 1 For small changes n trade costs, the change n the choke prce n country j s gven by: d log P j = ε F j ( + 1)ε F j ε Qj d log λ jj (9) Condtonal on changes n mport penetraton d log λ jj and the trade elastcty, the effect on prce levels can take any value between 0 (ndrectly-addtve) and 1 d log λ jj (homothetc). In the so-elastc case wth F (Λ) = Λ and Q(Λ) = αλ β we have: d log P j = β d log λ jj (10) We obtan the same formula as n ACDR but now wth a contnuum of β s nstead of mposng β to be equal to ether 0 or 1. Ths sem-parameterzaton captures more smply the added flexblty that we obtan thanks to generalzed separablty, and s vald as long as β remans smaller than the elastcty of D (assumed to be larger than unty). It ncludes all tractable cases studed recently and provdes a mcro-foundaton for ntermedate cases. The homothetc case (β = 1) yelds the largest effect on prces unless we assume a hgher lower bound on prce elastctes ε D. Relatve to homothetc preferences, the effect on prces s mtgated by a factor 1+ wth drectly-separable preferences (β = 0). The other extreme s obtaned wth ndrectly-separable preferences (lmt case β = ) where changes n trade costs do not affect the choke prce: d log P j = 0 (Bertolett et al 2018). Dstrbuton of prces and markups In ths framework, note that the choke prce serves as a suffcent statstc for prces. Relatve to the choke prce, the dstrbuton of prces remans nvarant to changes n trade costs, gven that the shape of the Pareto dstrbuton s nvarant to ts truncaton. Hence, Proposton 1 also descrbes how trade costs shft the entre dstrbuton of prces. In partcular, as n ACDR, the dstrbuton of markups remans nvarant when margnal costs are drawn from Pareto. Markups are determned by the rato of cost to the choke prce and the functon µ(p/c). Ths functon does not vary across countres, and the dstrbuton of P/c remans also nvarant (Pareto dstrbuton bounded at unty). Ths also mples that the average markup elastcty weghted by sales s also constant across countres and fully determned by functons µ, D and the Pareto parameter as n ACDR: ρ = 1 d log µ d log v µ(v)/vd(µ(v)/v)v 1 dv 1 µ(v )/v D(µ(v )/v )(v ) 1 dv (11) One can notce that the dstrbuton of markups (under monopolstc competton) does not depend on Q(Λ) and F (Λ), the demand and prce shfters. 7
8 3.3 Gans from trade We can now examne the effect of trade costs on welfare, combnng the effect on prce levels, markups and ncome. If we mantan the same supply structure that s standard to ACDR and varous other frm-level trade models, the demand sde nfluences the gans from trade through two channels: ) the shape of the functon D determnes markups and the markup elastcty ρ; ) the demand shfters Q and F affects prce levels through the choke prce. Usng the expendture functon, we obtan the changes n welfare for country j: d log e j = (1 ρ) λ j d log(w τ j ) + ρ d log P j (12) The frst term s dentcal to ACDR and captures the drect effect of the changes n margnal costs and markups, whle the second term captures the ndrect effect on prce levels through the choke prce, whch dffers from ACDR as shown above. Wth λ j d log(w τ j ) = 1 d log λ jj (as n Arkolaks et al., 2012), the gans from trade dgt j = d log e j can be summarzed by the followng proposton: Proposton 2 For small changes n trade costs, the changes n welfare for country j are gven by: dgt j ( 1 ρ = + ρ ε F j ( + 1)ε F j ε Qj ) d log λ jj (13) Condtonal on changes n mport penetraton d log λ jj, trade elastcty and markup elastcty ρ, the range of admssble elastctes ε F j and ε Qj s such that the gans from trade can take any value between 1 ρ d log λ jj (ndrectly-addtve case) and 1 d log λ jj (homothetc case). Ths ncludes the followng three cases: dgt j = 1 ( d log λ jj ) wth homothetc preferences (ACR, ACDR) dgt j = 1 ρ + ρ +1 d log λ jj Drectly-separable preferences (ACDR) dgt j = 1 ρ d log λ jj Indrectly-separable preferences (Berlott et al, 2018) By shuttng down the effect on the choke prce, Bertolett et al (2018) obtan the lowest bound. Agan, t s practcal to assume F (Λ) = Λ and Q(Λ) = αλ β. Gans from trade then satsfy the same formula as n ACDR: dgt j ( 1 ρ = + ) ρ d log λ jj (14) + 1 β but now wth a contnuous representaton n β, where β can take any value between and 1 (and potentally hgher f t remans smaller than the prce elastcty ε D ), mplyng agan that lower and upper bounds correspond to the ndrectly-addtve and homothetc cases. 8
9 4 Emprcal mplementaton Wthout any pror on the shape of preferences, ths generalzaton leaves us wth at least an addtonal parameter to estmate f we want to quantfy the gans from trade, focusng on the the so-elastc case descrbed n equaton (14). Estmates of other parameters, the trade elastcty and the markup elastcty ρ, can be borrowed from prevous estmaton approaches gven that most of them are consstent wth the current framework. For nstance, Smonovska and Waugh (2014) provde an estmate of the trade elastcty ; Amt et al. (2014) and Arkolaks et al (2018), among many others, dscuss how to dentfy the markup elastcty ρ, whch determnes the pass-through of costs to prces. The new parameter β nfluences the gans from trade through the choke prce n partcular, and determnes how prce levels depends on ncome and trade costs. Hence, to estmate β, a natural approach s to examne how prces set by exportng frms depend on margnal costs as well as characterstcs of the destnaton country such as ncome and trade costs. As descrbed prevously, the prce of a product s determned by ts margnal cost and ts markup, whch can tself be expressed as a functon of the margnal cost and the choke prce. A frm wth a margnal cost draw c would charge a prce p jt (c) = τ jt w t c µ(p jt /(τ jt w t c)). Dfferentatng,.e. consderng small changes n costs and choke prces over tme, we obtan: log p jt (c) = (1 ρ j (c)) log(τ jt w t ) + ρ j (c) log P jt (15) The choke prce P j s not drectly observed, but ts relaton to trade costs can be ndrectly nferred through the gravty equaton. Dfferentatng equaton (7), we get: log P jt = 1 β 1 + β log w jt β log MA jt (16) where MA jt refers to market access for destnaton j: MA jt N b w τj. Ths measure of market access has been often used n the lterature and can be structurally estmated usng gravty equatons, takng the sum of estmated exporter fxed effects adjusted by trade costs. 9 averages across frms n country and combnng equatons (15) and (16) leads to: Next, takng log p jt = (1 ρ) log(τ jt w t ) + ρ 1 + β log MA jt + ρ (1 β) 1 + β log w jt (17) Ths relatonshp that can be used to dentfy both ρ and β, assumng that ncome s not perfectly correlated wth market access and that the econometrcan observes exogenous varatons n market access (e.g. as dscussed n Feyrer, 2009). In ths regresson, the frst coeffcent descrbes the pass-through of costs to prces, whch can be used to dentty the pass-through elastcty ρ, as often done n practce. In turn, the second term can ρ be used to dentfy 1+ β. A smaller β s assocated wth a lower senstvty of prces to market access n the destnaton country, and a hgher senstvty to ncome levels. For nstance, n the lmt case 9 See e.g. Reddng and Venables (2004), Head and Mayer (2010), and Fally et al. (2010) among others. 9
10 where preferences are ndrectly-addtve and β =, the coeffcent for market access s null. In the ρ general case, ths coeffcent can be used to estmate the second term n equaton (14), +1 β log λ jjt, and thus estmate the gans from trade wth generalzed separablty. 5 Concluson Ths paper examnes the mplcatons of trade for consumer welfare by consderng a flexble yet tractable demand system (Gorman, 1972, 1995, Pollak, 1972, Fally, 2018) encompassng drectlyseparable, ndrectly-separable and homothetc preferences wth a sngle aggregator. Embedded n a general-equlbrum trade model featurng gravty, such demand system allows for more flexble effects of trade and ncome on prces. An upper bound of the gans from trade s provded by the homothetc case (as n Arkolaks et al., 2012), whle a lower bound corresponds to the case of ndrectly-separable preferences (as n Bertolett et al., 2018), allowng for a contnuum of ntermedate cases. In partcular, the added flexblty s reflected n how trade affects choke prces (reservaton prces). To estmate the gans from trade and dentfy addtonal parameters that characterze the demand system, a suggeston s to explot how changes n trade costs affect markups usng frm-level data on exports from a specfc source country. References Amt, M., O. Itskhok, and J. Konngs (2014). Importers, exporters, and exchange rate dsconnect. Amercan Economc Revew 104 (7), Arkolaks, C., A. Costnot, D. Donaldson, and A. Rodríguez-Clare (2015). The elusve pro-compettve effects of trade. NBER Workng Paper Arkolaks, C., A. Costnot, and A. Rodríguez-Clare (2012). New trade models, same old gans? Economc Revew 102 (1), Amercan Behrens, K., G. Mon, Y. Murata, and J. Südekum (2014). Trade, wages, and productvty. Internatonal Economc Revew 55 (4), Bertolett, P. and F. Etro (2017). Monopolstc competton, as you lke t. Dept. of Economcs Research Paper Seres, 08/2017. Unversty Ca Foscar of Vence, Bertolett, P., F. Etro, and I. Smonovska (2018). Internatonal trade wth ndrect addtvty. Amercan Economc Journal: Mcroeconomcs 10 (2), Chaney, T. (2008). Dstorted gravty: the ntensve and extensve margns of nternatonal trade. Amercan Economc Revew 98 (4), Costnot, A. and A. Rodríguez-Clare (2018). The US gans from trade: Valuaton usng the demand for foregn factor servces. Journal of Economc Perspectves 32 (2), De Loecker, J. and F. Warzynsk (2012). Markups and frm-level export status. Amercan economc revew 102 (6), Fally, T. (2018). Integrablty and generalzed separablty. NBER Workng Paper
11 Fally, T., R. Pallacar, and C. Terra (2010). Economc geography and wages n brazl: Evdence from mcro-data. Journal of Development Economcs 91 (1), Feenstra, R. C. (2018a). Alternatve sources of the gans from nternatonal trade: Varety, creatve destructon, and markups. Journal of Economc Perspectves 32 (2), Feenstra, R. C. (2018b). Restorng the product varety and pro-compettve gans from trade wth heterogeneous frms and bounded productvty. Journal of Internatonal Economcs 110, Feyrer, J. (2009). Trade and ncome explotng tme seres n geography. Techncal report. NBER Workng Paper Gorman, W. M. (1972). Condtons for generalzed addtve separablty. Unpublshed transcrpt, now prnted n Gorman (1995). Gorman, W. M. (1995). Collected Works of WM Gorman: Separablty and Aggregaton, Volume 1. Oxford Unversty Press. Head, K. and T. Mayer (2010). Gravty, market potental and economc development. Journal of Economc Geography 11 (2), Hummels, D. and P. J. Klenow (2005). The varety and qualty of a naton s exports. Amercan Economc Revew 95 (3), Matsuyama, K. and P. Ushchev (2017). Beyond CES: Three alternatve classes of flexble homothetc demand systems. Workng paper. Meltz, M. J. (2003). The mpact of trade on ntra-ndustry reallocatons and aggregate ndustry productvty. Econometrca 71 (6), Pollak, R. A. (1972). Generalzed separablty. Econometrca: Journal of the Econometrc Socety, Reddng, S. and A. J. Venables (2004). Economc geography and nternatonal nequalty. Journal of nternatonal Economcs 62 (1), Smonovska, I. (2015). Income dfferences and prces of tradables: Insghts from an onlne retaler. The Revew of Economc Studes 82 (4), Smonovska, I. and M. E. Waugh (2014). The elastcty of trade: Estmates and evdence. Journal of nternatonal Economcs 92 (1), Appendx A) Effect of ncome on the prce aggregator Dfferentatng equaton (1) yelds: ω Ω [ ] d log Λ λ(ω) ε Q d log w ε d log Λ Dε F j d log w + ε D dω = 1 We obtan equaton (3) by solvng for d log Λ d log w. Note that ε Q and ε F product varetes and depend on F (Λ)p(ω)/w = p(ω)/p. depend only on Λ whle ε D vares across 11
12 B) Gravty equaton Margnal costs are gven by w c where c s drawn from a cumulatve dstrbuton G (c) = b c. Frms wth draws above c j = P j/(w τ j ) do not sell to market j. As n ACDR, t s then convenent to make a change n varable and defne v = c j /c wth a cumulatve dstrbuton 1 v wth the adjusted mass of frms N b Pj (w τ j ). For frms n country exportng to j wth margnal cost c = c j /v = P j/(w τ j v), ther prce s P j µ(v)/v and ther sales are gven by: x(v)q(λ j )P j = µ(v)/vd(µ(v)/v) Q(Λ j )P j where µ(v) s defned mplctly by equaton (5). Summng up across all frms n country, total exports to country j correspond to: X j = N b P j (w τ j ) + v=1 x(v) Q(Λ j )P j v 1 dv = χn b (w τ j ) Q(Λ j )P 1+ j wth wth constant term χ + v=1 µ(v)/vd(µ(v)/v)v 1 dc. Ths gves equaton (6) n the text. C) Proposton 1 Dfferentatng equaton (7) w.r.t Λ j yelds: (ε Qj ( + 1)ε F j ) d log Λ λ j d log(w τ j ) = 0 d log Λ j = λ j d log c j ( + 1)ε F j ε Qj and thus we obtan equaton (8) n the text for d log P j = ε F j d log Λ j. Next, we can apply the same trck as n Arkolaks et al. (2012) to obtan: λ j d log(w τ j ) = 1 λ j d log(w τ j ) = 1 λ j d log(λ jj /λ j ) = 1 d log λ jj 1 λ j d log λ j = 1 d log λ jj 1 d(λ j ) = 1 d log λ jj D) Proposton 2 Gven that we normalze ncome w j = 1 n country j, welfare changes are gven by the change n the expendture functon. Applyng Shephard s Lemma, ths s equal to the change n log prces weghted by expendture shares: d log e j = λ j (ω)d log p j (ω) ω Ω = (1 ρ) λ j d log(w τ j ) + ρ d log P j where ρ s the sales-weghted average of the markup elastcty defned n equaton (11). We obtan Proposton 2 as a corollary of Proposton 1 combned wth the welfare change above. 12
Bilateral Trade Flows and Nontraded Goods
The Emprcal Economcs Letters, 7(5): (May 008) ISSN 1681 8997 Blateral Trade Flows and Nontraded Goods Yh-mng Ln Department of Appled Economcs, Natonal Chay Unversty. 580 Snmn Road, Chay, 600, Tawan Emal:
More informationOnline Appendix. t=1 (p t w)q t. Then the first order condition shows that
Artcle forthcomng to ; manuscrpt no (Please, provde the manuscrpt number!) 1 Onlne Appendx Appendx E: Proofs Proof of Proposton 1 Frst we derve the equlbrum when the manufacturer does not vertcally ntegrate
More informationA NOTE ON CES FUNCTIONS Drago Bergholt, BI Norwegian Business School 2011
A NOTE ON CES FUNCTIONS Drago Bergholt, BI Norwegan Busness School 2011 Functons featurng constant elastcty of substtuton CES are wdely used n appled economcs and fnance. In ths note, I do two thngs. Frst,
More informationInternational Macroeconomics #4 Pricing to market
Internatonal Macroeconomcs #4 rcng to market. rologue: Marshall-Lerner-Robnson 2. Incomplete pass-through n a smple olgopolstc model 3. TM n monopolstc competton Bénassy-Quéré - Internatonal Macroeconomcs
More informationProblem Set 3. 1 Offshoring as a Rybzcynski Effect. Economics 245 Fall 2011 International Trade
Due: Thu, December 1, 2011 Instructor: Marc-Andreas Muendler E-mal: muendler@ucsd.edu Economcs 245 Fall 2011 Internatonal Trade Problem Set 3 November 15, 2011 1 Offshorng as a Rybzcynsk Effect There are
More informationOnline Appendix: Reciprocity with Many Goods
T D T A : O A Kyle Bagwell Stanford Unversty and NBER Robert W. Stager Dartmouth College and NBER March 2016 Abstract Ths onlne Appendx extends to a many-good settng the man features of recprocty emphaszed
More informationLet p z be the price of z and p 1 and p 2 be the prices of the goods making up y. In general there is no problem in grouping goods.
Economcs 90 Prce Theory ON THE QUESTION OF SEPARABILITY What we would lke to be able to do s estmate demand curves by segmentng consumers purchases nto groups. In one applcaton, we aggregate purchases
More informationThe Granular Origins of Aggregate Fluctuations : Supplementary Material
The Granular Orgns of Aggregate Fluctuatons : Supplementary Materal Xaver Gabax October 12, 2010 Ths onlne appendx ( presents some addtonal emprcal robustness checks ( descrbes some econometrc complements
More informationEcon107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)
I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes
More informationk t+1 + c t A t k t, t=0
Macro II (UC3M, MA/PhD Econ) Professor: Matthas Kredler Fnal Exam 6 May 208 You have 50 mnutes to complete the exam There are 80 ponts n total The exam has 4 pages If somethng n the queston s unclear,
More informationGravity Models: Theoretical Foundations and estimation issues. Workshop for Trade Research
Gravty Models: Theoretcal Foundatons and estmaton ssues 6 th ARTNet Capacty Buldng Workshop for Trade Research Ventane, 21 June 2010 Outlne Theoretcal foundatons Addng up and equlbrum condtons Dervng gravty
More informationTheory Appendix for Market Penetration Costs and the New Consumers Margin in International Trade
Theory Appendx for Market Penetraton Costs and the New Consumers Margn n Internatonal Trade Costas Arkolaks y Yale Unversty, Federal Reserve Bank of Mnneapols, and NBER October 00 Abstract Ths s an onlne
More informationMixed Taxation and Production Efficiency
Floran Scheuer 2/23/2016 Mxed Taxaton and Producton Effcency 1 Overvew 1. Unform commodty taxaton under non-lnear ncome taxaton Atknson-Stgltz (JPubE 1976) Theorem Applcaton to captal taxaton 2. Unform
More informationA Generalized Solution of the Monopolistic Competition Model with Heterogeneous Firms and a Linear Demand (Melitz-Ottaviano)
A Generalzed Soluton of the Monopolstc Competton Model th Heterogeneous Frms and a near Demand (Meltz-Ottavano) Costas Arkolaks y Yale Unversty Frst verson: Aprl 008 Ths verson: Octoer 008 Astract Ths
More informationLimited Dependent Variables
Lmted Dependent Varables. What f the left-hand sde varable s not a contnuous thng spread from mnus nfnty to plus nfnty? That s, gven a model = f (, β, ε, where a. s bounded below at zero, such as wages
More information,, MRTS is the marginal rate of technical substitution
Mscellaneous Notes on roducton Economcs ompled by eter F Orazem September 9, 00 I Implcatons of conve soquants Two nput case, along an soquant 0 along an soquant Slope of the soquant,, MRTS s the margnal
More informationPerfect Competition and the Nash Bargaining Solution
Perfect Competton and the Nash Barganng Soluton Renhard John Department of Economcs Unversty of Bonn Adenauerallee 24-42 53113 Bonn, Germany emal: rohn@un-bonn.de May 2005 Abstract For a lnear exchange
More informationPsychology 282 Lecture #24 Outline Regression Diagnostics: Outliers
Psychology 282 Lecture #24 Outlne Regresson Dagnostcs: Outlers In an earler lecture we studed the statstcal assumptons underlyng the regresson model, ncludng the followng ponts: Formal statement of assumptons.
More informationA Model of Trade with Quality Choice. Robert Feenstra (UC Davis) and John Romalis (University of Chicago GSB) Draft: July 12, 2006
A Model of Trade wth Qualty Choce. Robert Feenstra (UC Davs) and John Romals (Unversty of Chcago GSB) Draft: July 2, 2006 Very Prelmnary - Do ot Quote Results Rcher countres supply and demand hgher-qualty
More informationStructure and Drive Paul A. Jensen Copyright July 20, 2003
Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.
More informationHila Etzion. Min-Seok Pang
RESERCH RTICLE COPLEENTRY ONLINE SERVICES IN COPETITIVE RKETS: INTINING PROFITILITY IN THE PRESENCE OF NETWORK EFFECTS Hla Etzon Department of Technology and Operatons, Stephen. Ross School of usness,
More informationIntegrability and Generalized Separability
Integrablty and Generalzed Separablty Thbault Fally UC Berkeley ARE December 2017 Abstract Ths paper examnes demand systems here the demand for a good depends only on ts on prce, consumer ncome, and a
More informationNBER WORKING PAPER SERIES STRUCTURAL GRAVITY AND FIXED EFFECTS. Thibault Fally. Working Paper
NBER WORKING PAPER SERIES STRUCTURAL GRAVITY AND FIXED EFFECTS Thbault Fally Workng Paper 21212 http://www.nber.org/papers/w21212 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambrdge,
More information3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X
Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number
More informationAn (almost) unbiased estimator for the S-Gini index
An (almost unbased estmator for the S-Gn ndex Thomas Demuynck February 25, 2009 Abstract Ths note provdes an unbased estmator for the absolute S-Gn and an almost unbased estmator for the relatve S-Gn for
More informationEconomics 2450A: Public Economics Section 10: Education Policies and Simpler Theory of Capital Taxation
Economcs 2450A: Publc Economcs Secton 10: Educaton Polces and Smpler Theory of Captal Taxaton Matteo Parads November 14, 2016 In ths secton we study educaton polces n a smplfed verson of framework analyzed
More informationThe Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction
ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also
More informationCHAPTER 8. Exercise Solutions
CHAPTER 8 Exercse Solutons 77 Chapter 8, Exercse Solutons, Prncples of Econometrcs, 3e 78 EXERCISE 8. When = N N N ( x x) ( x x) ( x x) = = = N = = = N N N ( x ) ( ) ( ) ( x x ) x x x x x = = = = Chapter
More informationHow Strong Are Weak Patents? Joseph Farrell and Carl Shapiro. Supplementary Material Licensing Probabilistic Patents to Cournot Oligopolists *
How Strong Are Weak Patents? Joseph Farrell and Carl Shapro Supplementary Materal Lcensng Probablstc Patents to Cournot Olgopolsts * September 007 We study here the specal case n whch downstream competton
More informationDepartment of Quantitative Methods & Information Systems. Time Series and Their Components QMIS 320. Chapter 6
Department of Quanttatve Methods & Informaton Systems Tme Seres and Ther Components QMIS 30 Chapter 6 Fall 00 Dr. Mohammad Zanal These sldes were modfed from ther orgnal source for educatonal purpose only.
More informationCredit Card Pricing and Impact of Adverse Selection
Credt Card Prcng and Impact of Adverse Selecton Bo Huang and Lyn C. Thomas Unversty of Southampton Contents Background Aucton model of credt card solctaton - Errors n probablty of beng Good - Errors n
More informationRemarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence
Remarks on the Propertes of a Quas-Fbonacc-lke Polynomal Sequence Brce Merwne LIU Brooklyn Ilan Wenschelbaum Wesleyan Unversty Abstract Consder the Quas-Fbonacc-lke Polynomal Sequence gven by F 0 = 1,
More informationWelfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium?
APPLIED WELFARE ECONOMICS AND POLICY ANALYSIS Welfare Propertes of General Equlbrum What can be sad about optmalty propertes of resource allocaton mpled by general equlbrum? Any crteron used to compare
More informationOn the correction of the h-index for career length
1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat
More information(1 ) (1 ) 0 (1 ) (1 ) 0
Appendx A Appendx A contans proofs for resubmsson "Contractng Informaton Securty n the Presence of Double oral Hazard" Proof of Lemma 1: Assume that, to the contrary, BS efforts are achevable under a blateral
More informationStatistics for Economics & Business
Statstcs for Economcs & Busness Smple Lnear Regresson Learnng Objectves In ths chapter, you learn: How to use regresson analyss to predct the value of a dependent varable based on an ndependent varable
More informationComparative Advantage and Optimal Trade Taxes
Comparatve Advantage and Optmal Trade Taxes Arnaud Costnot (MIT), Dave Donaldson (MIT), Jonathan Vogel (Columba) and Iván Wernng (MIT) June 2014 Motvaton Two central questons... 1. Why do natons trade?
More informationEconomics 101. Lecture 4 - Equilibrium and Efficiency
Economcs 0 Lecture 4 - Equlbrum and Effcency Intro As dscussed n the prevous lecture, we wll now move from an envronment where we looed at consumers mang decsons n solaton to analyzng economes full of
More informationLectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix
Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could
More informationELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM
ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look
More informationUNR Joint Economics Working Paper Series Working Paper No Further Analysis of the Zipf Law: Does the Rank-Size Rule Really Exist?
UNR Jont Economcs Workng Paper Seres Workng Paper No. 08-005 Further Analyss of the Zpf Law: Does the Rank-Sze Rule Really Exst? Fungsa Nota and Shunfeng Song Department of Economcs /030 Unversty of Nevada,
More informationSpatial linkages, Global Shocks, and Local Labor Markets: Theory and Evidence
Spatal lnkages, Global Shocks, and Local Labor Markets: Theory and Evdence Rodrgo Adao Chcago Booth Costas Arkolaks Yale February 2018 Federco Esposto Tufts Abstract We analyze and measure the mpact of
More informationIn the figure below, the point d indicates the location of the consumer that is under competition. Transportation costs are given by td.
UC Berkeley Economcs 11 Sprng 006 Prof. Joseph Farrell / GSI: Jenny Shanefelter Problem Set # - Suggested Solutons. 1.. In ths problem, we are extendng the usual Hotellng lne so that now t runs from [-a,
More information1. relation between exp. function and IUF
Dualty Dualty n consumer theory II. relaton between exp. functon and IUF - straghtforward: have m( p, u mn'd value of expendture requred to attan a gven level of utlty, gven a prce vector; u ( p, M max'd
More informationSupporting Information for: Two Monetary Models with Alternating Markets
Supportng Informaton for: Two Monetary Models wth Alternatng Markets Gabrele Camera Chapman Unversty & Unversty of Basel YL Chen St. Lous Fed November 2015 1 Optmal choces n the CIA model On date t, gven
More informationSupporting Materials for: Two Monetary Models with Alternating Markets
Supportng Materals for: Two Monetary Models wth Alternatng Markets Gabrele Camera Chapman Unversty Unversty of Basel YL Chen Federal Reserve Bank of St. Lous 1 Optmal choces n the CIA model On date t,
More informationAppendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
A Appendx for Causal Interacton n Factoral Experments: Applcaton to Conjont Analyss Mathematcal Appendx: Proofs of Theorems A. Lemmas Below, we descrbe all the lemmas, whch are used to prove the man theorems
More informationKernel Methods and SVMs Extension
Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general
More informationProductivity and Reallocation
Productvty and Reallocaton Motvaton Recent studes hghlght role of reallocaton for productvty growth. Market economes exhbt: Large pace of output and nput reallocaton wth substantal role for entry/ext.
More informationFoundations of Arithmetic
Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an
More informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More informationHousehold Size, Economies of Scale and Public Goods in Consumption: A Proposal to resolve the Food Share Paradox
1 Household Sze, Economes of Scale and Publc Goods n Consumpton: A Proposal to resolve the Food Share Paradox Ferdoon Kooh-Kamal 2014* ferdoon.kooh@emory.edu, Department of Economcs, Emory Unversty 1602
More informationAllocative Efficiency Measurement with Endogenous Prices
Allocatve Effcency Measurement wth Endogenous Prces Andrew L. Johnson Texas A&M Unversty John Ruggero Unversty of Dayton December 29, 200 Abstract In the nonparametrc measurement of allocatve effcency,
More informationCopyright (C) 2008 David K. Levine This document is an open textbook; you can redistribute it and/or modify it under the terms of the Creative
Copyrght (C) 008 Davd K. Levne Ths document s an open textbook; you can redstrbute t and/or modfy t under the terms of the Creatve Commons Attrbuton Lcense. Compettve Equlbrum wth Pure Exchange n traders
More information1 The Sidrauski model
The Sdrausk model There are many ways to brng money nto the macroeconomc debate. Among the fundamental ssues n economcs the treatment of money s probably the LESS satsfactory and there s very lttle agreement
More informationLecture Notes, January 11, 2010
Economcs 200B UCSD Wnter 2010 Lecture otes, January 11, 2010 Partal equlbrum comparatve statcs Partal equlbrum: Market for one good only wth supply and demand as a functon of prce. Prce s defned as the
More informationChapter 8 Indicator Variables
Chapter 8 Indcator Varables In general, e explanatory varables n any regresson analyss are assumed to be quanttatve n nature. For example, e varables lke temperature, dstance, age etc. are quanttatve n
More informationx = , so that calculated
Stat 4, secton Sngle Factor ANOVA notes by Tm Plachowsk n chapter 8 we conducted hypothess tests n whch we compared a sngle sample s mean or proporton to some hypotheszed value Chapter 9 expanded ths to
More informationx i1 =1 for all i (the constant ).
Chapter 5 The Multple Regresson Model Consder an economc model where the dependent varable s a functon of K explanatory varables. The economc model has the form: y = f ( x,x,..., ) xk Approxmate ths by
More informationMarket structure and Innovation
Market structure and Innovaton Ths presentaton s based on the paper Market structure and Innovaton authored by Glenn C. Loury, publshed n The Quarterly Journal of Economcs, Vol. 93, No.3 ( Aug 1979) I.
More informationA note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights
ACTA ET COMMENTATIONES UNIVERSITATIS TARTUENSIS DE MATHEMATICA Volume 7, Number 2, December 203 Avalable onlne at http://acutm.math.ut.ee A note on almost sure behavor of randomly weghted sums of φ-mxng
More informationDifference Equations
Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1
More informationEndogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract
Endogenous tmng n a mxed olgopoly consstng o a sngle publc rm and oregn compettors Yuanzhu Lu Chna Economcs and Management Academy, Central Unversty o Fnance and Economcs Abstract We nvestgate endogenous
More informationConstant Best-Response Functions: Interpreting Cournot
Internatonal Journal of Busness and Economcs, 009, Vol. 8, No., -6 Constant Best-Response Functons: Interpretng Cournot Zvan Forshner Department of Economcs, Unversty of Hafa, Israel Oz Shy * Research
More informationDiscontinuous Extraction of a Nonrenewable Resource
Dscontnuous Extracton of a Nonrenewable Resource Erc Iksoon Im 1 Professor of Economcs Department of Economcs, Unversty of Hawa at Hlo, Hlo, Hawa Uayant hakravorty Professor of Economcs Department of Economcs,
More informationThe Gains from Input Trade in Firm-Based Models of Importing by Joaquin Blaum, Claire Lelarge and Michael Peters
The Gans from Input Trade n Frm-Based Models of Importng by Joaqun Blaum, Clare Lelarge and Mchael Peters Onlne Appendx Not for Publcaton Ths Appendx contans the followng addtonal results and materal:.
More informationErrors for Linear Systems
Errors for Lnear Systems When we solve a lnear system Ax b we often do not know A and b exactly, but have only approxmatons  and ˆb avalable. Then the best thng we can do s to solve ˆx ˆb exactly whch
More informationPROBLEM SET 7 GENERAL EQUILIBRIUM
PROBLEM SET 7 GENERAL EQUILIBRIUM Queston a Defnton: An Arrow-Debreu Compettve Equlbrum s a vector of prces {p t } and allocatons {c t, c 2 t } whch satsfes ( Gven {p t }, c t maxmzes βt ln c t subject
More informationCanonical transformations
Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,
More informationLINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity
LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have
More informationECONOMETRICS II (ECO 2401S) University of Toronto. Department of Economics. Winter 2017 Instructor: Victor Aguirregabiria
ECOOMETRICS II ECO 40S Unversty of Toronto Department of Economcs Wnter 07 Instructor: Vctor Agurregabra SOLUTIO TO FIAL EXAM Tuesday, Aprl 8, 07 From :00pm-5:00pm 3 hours ISTRUCTIOS: - Ths s a closed-book
More informationLecture 17 : Stochastic Processes II
: Stochastc Processes II 1 Contnuous-tme stochastc process So far we have studed dscrete-tme stochastc processes. We studed the concept of Makov chans and martngales, tme seres analyss, and regresson analyss
More informationThe Geometry of Logit and Probit
The Geometry of Logt and Probt Ths short note s meant as a supplement to Chapters and 3 of Spatal Models of Parlamentary Votng and the notaton and reference to fgures n the text below s to those two chapters.
More informationsince [1-( 0+ 1x1i+ 2x2 i)] [ 0+ 1x1i+ assumed to be a reasonable approximation
Econ 388 R. Butler 204 revsons Lecture 4 Dummy Dependent Varables I. Lnear Probablty Model: the Regresson model wth a dummy varables as the dependent varable assumpton, mplcaton regular multple regresson
More informationCS286r Assign One. Answer Key
CS286r Assgn One Answer Key 1 Game theory 1.1 1.1.1 Let off-equlbrum strateges also be that people contnue to play n Nash equlbrum. Devatng from any Nash equlbrum s a weakly domnated strategy. That s,
More informationGeneral Purpose Technologies (GPTs) and their Relevance to ICTs; Trade 4/3/2009 & Growth Implications by Iordanis Petsas
General Purpose Technologes (GPTs and ther Relevance to ICTs; Trade and Growth Implcatons Presented at CITI, Columba Busness School March 2009 By Unversty of Scranton and Baruch College (CUNY Introducton
More information4 Analysis of Variance (ANOVA) 5 ANOVA. 5.1 Introduction. 5.2 Fixed Effects ANOVA
4 Analyss of Varance (ANOVA) 5 ANOVA 51 Introducton ANOVA ANOVA s a way to estmate and test the means of multple populatons We wll start wth one-way ANOVA If the populatons ncluded n the study are selected
More informationWinter 2008 CS567 Stochastic Linear/Integer Programming Guest Lecturer: Xu, Huan
Wnter 2008 CS567 Stochastc Lnear/Integer Programmng Guest Lecturer: Xu, Huan Class 2: More Modelng Examples 1 Capacty Expanson Capacty expanson models optmal choces of the tmng and levels of nvestments
More informationBasically, if you have a dummy dependent variable you will be estimating a probability.
ECON 497: Lecture Notes 13 Page 1 of 1 Metropoltan State Unversty ECON 497: Research and Forecastng Lecture Notes 13 Dummy Dependent Varable Technques Studenmund Chapter 13 Bascally, f you have a dummy
More informationAN ASSESSMENT OF DYNAMIC BEHAVIOR IN THE U.S. CATFISH MARKET: AN APPLICATION OF THE GENERALIZED DYNAMIC ROTTERDAM MODEL
AN ASSESSMENT OF DYNAMIC BEHAVIOR IN THE U.S. CATFISH MARKET: AN APPLICATION OF THE GENERALIZED DYNAMIC ROTTERDAM MODEL Andrew Muhammad Department of Agrcultural Economcs, Msssspp State Unversty, PO Box
More informationIII. Econometric Methodology Regression Analysis
Page Econ07 Appled Econometrcs Topc : An Overvew of Regresson Analyss (Studenmund, Chapter ) I. The Nature and Scope of Econometrcs. Lot s of defntons of econometrcs. Nobel Prze Commttee Paul Samuelson,
More informationBOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS
BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all
More informationGames of Threats. Elon Kohlberg Abraham Neyman. Working Paper
Games of Threats Elon Kohlberg Abraham Neyman Workng Paper 18-023 Games of Threats Elon Kohlberg Harvard Busness School Abraham Neyman The Hebrew Unversty of Jerusalem Workng Paper 18-023 Copyrght 2017
More informationLecture 12: Discrete Laplacian
Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly
More informationSTAT 3008 Applied Regression Analysis
STAT 3008 Appled Regresson Analyss Tutoral : Smple Lnear Regresson LAI Chun He Department of Statstcs, The Chnese Unversty of Hong Kong 1 Model Assumpton To quantfy the relatonshp between two factors,
More informationECONOMICS 351*-A Mid-Term Exam -- Fall Term 2000 Page 1 of 13 pages. QUEEN'S UNIVERSITY AT KINGSTON Department of Economics
ECOOMICS 35*-A Md-Term Exam -- Fall Term 000 Page of 3 pages QUEE'S UIVERSITY AT KIGSTO Department of Economcs ECOOMICS 35* - Secton A Introductory Econometrcs Fall Term 000 MID-TERM EAM ASWERS MG Abbott
More informationMore metrics on cartesian products
More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of
More informationUsing the estimated penetrances to determine the range of the underlying genetic model in casecontrol
Georgetown Unversty From the SelectedWorks of Mark J Meyer 8 Usng the estmated penetrances to determne the range of the underlyng genetc model n casecontrol desgn Mark J Meyer Neal Jeffres Gang Zheng Avalable
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More information2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification
E395 - Pattern Recognton Solutons to Introducton to Pattern Recognton, Chapter : Bayesan pattern classfcaton Preface Ths document s a soluton manual for selected exercses from Introducton to Pattern Recognton
More informationf(x,y) = (4(x 2 4)x,2y) = 0 H(x,y) =
Problem Set 3: Unconstraned mzaton n R N. () Fnd all crtcal ponts of f(x,y) (x 4) +y and show whch are ma and whch are mnma. () Fnd all crtcal ponts of f(x,y) (y x ) x and show whch are ma and whch are
More informationEquilibrium with Complete Markets. Instructor: Dmytro Hryshko
Equlbrum wth Complete Markets Instructor: Dmytro Hryshko 1 / 33 Readngs Ljungqvst and Sargent. Recursve Macroeconomc Theory. MIT Press. Chapter 8. 2 / 33 Equlbrum n pure exchange, nfnte horzon economes,
More information1. Inference on Regression Parameters a. Finding Mean, s.d and covariance amongst estimates. 2. Confidence Intervals and Working Hotelling Bands
Content. Inference on Regresson Parameters a. Fndng Mean, s.d and covarance amongst estmates.. Confdence Intervals and Workng Hotellng Bands 3. Cochran s Theorem 4. General Lnear Testng 5. Measures of
More informationFeature Selection: Part 1
CSE 546: Machne Learnng Lecture 5 Feature Selecton: Part 1 Instructor: Sham Kakade 1 Regresson n the hgh dmensonal settng How do we learn when the number of features d s greater than the sample sze n?
More informationModule 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:
More informatione - c o m p a n i o n
OPERATIONS RESEARCH http://dxdoorg/0287/opre007ec e - c o m p a n o n ONLY AVAILABLE IN ELECTRONIC FORM 202 INFORMS Electronc Companon Generalzed Quantty Competton for Multple Products and Loss of Effcency
More informationUniversity of California, Davis Date: June 22, 2009 Department of Agricultural and Resource Economics. PRELIMINARY EXAMINATION FOR THE Ph.D.
Unversty of Calforna, Davs Date: June 22, 29 Department of Agrcultural and Resource Economcs Department of Economcs Tme: 5 hours Mcroeconomcs Readng Tme: 2 mnutes PRELIMIARY EXAMIATIO FOR THE Ph.D. DEGREE
More informationSupplementary Notes for Chapter 9 Mixture Thermodynamics
Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects
More informationUncertainty in measurements of power and energy on power networks
Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:
More information/ n ) are compared. The logic is: if the two
STAT C141, Sprng 2005 Lecture 13 Two sample tests One sample tests: examples of goodness of ft tests, where we are testng whether our data supports predctons. Two sample tests: called as tests of ndependence
More information