How square is the policy frontier?

Size: px
Start display at page:

Download "How square is the policy frontier?"

Transcription

1 How square is he policy fronier? SGB Henry, M Sachi and D Vines Firs Version December 000 This version January 00 Cenre for Inernaional Macroeconomics Deparmen of Economics, Universiy of Oxford Absrac: This paper assesses he implicaions of discouning on a resul derived by Bean (998): ha in a model of moneary policy where policy acs wih a lag, he oucomes of moneary policy are very similar for a wide range of weighings of he (non-discouning) moneary auhoriy s objecive funcion, wih respec o inflaion sabiliy versus oupu sabiliy. We show ha when he auhoriy discouns he fuure, oucomes become more sensiive o preferences, and ha i is imporan o ake he discoun rae ino accoun when examining he quesion of how he auhoriy s remi should be specified. Keywords: JEL Nos: Moneary Policy, Policy Fronier, Discouning E53, E58, E6 We are graeful o Sephen Hall, Adrian Pagan and John Muellbauer for helpful commens and suggesions. All errors remain he responsibiliy of he auhors. We are graeful o he Leverhume Trus for financial suppor under gran no. F/08 59A, EMU and European Macroeconomic Policy in a Global Conex.

2 . Inroducion Here we address an imporan finding derived by Bean (998). This finding, when applied o he new UK moneary arrangemens, implies ha i does no maer ha he inflaion remi does no specify he relaive weigh ha he Bank of England should place on oupu volailiy vis-à-vis inflaion volailiy. The resul is obained under he assumpion ha he auhoriy does no discoun he fuure. In pracice, however, some discouning is likely o occur and planning horizons migh be relaively shor; for he U.K., members of he Moneary Policy Commiee are appoined for a erm of hree years, and so he average remaining erm of exising members is one and a half years. Given ha a single ime period in Bean (998) is inerpreed as corresponding o around one year, he assumpion of no discouning by he cenral bank should no be aken for graned. We examine how he above finding alers when discouning is inroduced. Recen research in moneary policy has incorporaed models wih a more realisic reamen of he lag srucure wih which policy akes effec. Svennson (997), Ball (997) and Bean (998) are recen examples. In hese models, opimal policy ypically akes he form of a Taylor rule. Bean (998) demonsraes in his seing, ha he weighing of he loss funcion of he moneary auhoriy wih respec o oupu volailiy vis-à-vis inflaion volailiy does no affec he opimal policy rule in such a way as o grealy aler he oucome of sabilisaion policy. This can be seen in he shape of he Bean policy fronier (he se of efficien oucomes) which is relaively recangular. Figure (), which will be described furher below, shows he policy fronier and he opimal oucomes for wo differen weighings of he loss funcion. These are close, boh in erms of heir absolue disance relaive o he magniude of he variance of supply and demand shocks, and also in erms of he raio of oupu volailiy o inflaion volailiy obained in each case. We find ha his resul is very robus o variaions in he esimaes of he parameers of he model. This holds o such an exen ha i is almos independen of he empirical analysis underaken by Bean himself in he original paper we find ha he propery of recangulariy holds for any se of plausible esimaes. His analysis is herefore likely o apply o cases oher han he U.K. I can also be shown ha excep in he unrealisic case where policy affecs inflaion conemporaneously, he recangulariy resul is also robus o simple variaions in he lag srucure used. Our main finding is ha he recangulariy resul, however, is dependen on he planning horizon of he policymaker. We argue ha when discouning is inroduced, he weighing of he loss funcion becomes increasingly imporan in affecing he rade-off. In a model wihou lags, he ineres rae is ypically a linear funcion of curren shocks. When policy acs wih a lag, he role of policy is o conrol he effecs of pas shocks which remain in he sysem via persisence. Policy

3 The essence of his argumen goes as follows: here as is ypical in models of moneary policy, he relaive conrol of oupu or inflaion deviaions depends on he exen o which supply shocks are conrolled a igh conrol of supply shocks corresponds o igh conrol of inflaion and lax conrol of oupu, and vice versa. However, he variances of boh fuure oupu and inflaion depend posiively on he amoun of inflaionary pressure already wihin he sysem. A myopic auhoriy akes his as given and policy is sensiive o is preferences over oupu and inflaion sabiliy. However, a far-sighed auhoriy, regardless of is preferences, has an incenive o conrol inflaion now since his will lower he fuure variance of boh oupu and inflaion. This resuls in policy being less sensiive o preferences. Dynamic moneary policy models generally rely on some form of persisence in eiher oupu or inflaion. For insance Lockwood, Miller and Zhang (998) discuss persisence in employmen while Mash (000) discusses persisence in inflaion. Boh of hese models are characerised by inflaion bias, which resuls from he auhoriy argeing a level of oupu higher han he naural rae. The level of he discoun rae is hen shown o have implicaions for he consequen issues of ime inconsisency and delegaion; for insance Mash (000) shows ha an auhoriy wih long planning horizons offses he problem of ime inconsisency. Persisence can also be explored in he case where he auhoriy arges he naural rae of oupu and hence here is no inflaion bias. Clark, Goodhar and Huang (999) provide a discussion of he difference beween policy made under commimen and discreion in he case where here is no inflaion bias bu here is persisence of inflaion. Bean also adops a framework wih persisence in inflaion and wihou inflaion bias (i.e. in which he auhoriy arges he naural rae of oupu). In comparison wih he framework pu forward by Clark e al., Bean places a greaer emphasis on he lag srucure and a lesser emphasis on he reamen of expecaions. 3 Wha we show here is ha in he Bean framework, planning horizons can have a significan impac on he recangulariy argumen i.e. ha if planning horizons are shor, he relaive weighing of inflaion and oupu variabiliy in he loss funcion does have a much greaer impac on he oucome of opimal policy. hen acs by conrolling persisence, and so he opimal ineres rae is hen ofen a funcion of he persising variables raher han he shocks. Wih simple lag srucures, his can ake he form of a Taylor rule. Bean argues ha independence of he cenral bank is likely o achieve his siuaion, since i is hen immune o he poliical pressures which cause oupu o be argeed a a level higher han he naural rae. He also suggess ha lenghening he erm of MPC members would furher insulae he MPC from shor-erm poliical pressures. Our analysis broadly suppors his measure since i could also be expeced o reduce discouning. 3 This is of course enirely naural given he differen issues ha he models analyse. For example, Clark e al. assume policy affecs boh oupu and inflaion conemporaneously. However, aking ino accoun ha he policy insrumen is he nominal rae, hey allow a role for inflaionary expecaions in he evoluion of oupu unlike he models of Ball (997), Bean (998) and Svensson (997).

4 Secion provides an ouline of he heoreical analysis presened by Bean (998) and Ball (997), and secion 3 provides he corresponding analysis in he case of discouning. Svensson (997) also solves his problem in he case of discouning; neverheless, we presen a soluion here which sylisically is more in keeping wih ha of Ball (997) and Bean (998) since i allows a clearer discussion of recangulariy argumen. 4 Secion 4 discusses he implicaions of discouning on recangulariy and secion 5 concludes.. An Ouline of he Bean Model Bean (998) and Ball (997) use he following equaions for aggregae demand and supply. Aggregae demand is given by y µ r λ η wih η ~ N (0,σ η ) (D) = y where r, he real ineres rae, is he policy insrumen. Aggregae supply is given by an acceleraionis Philips curve: 5 π = π αy ε wih ε ~ N (0,σ ε ) (S) So real ineres raes affec oupu wih a lag of one period, oupu affecs inflaion wih a furher lag, and one period is inerpreed as corresponding o a ime span of around one year. The loss funcion of he non-discouning moneary auhoriy is given by: L = Var( π ) βvar( y) (L) Bean provides a clear derivaion of he opimal rule. The key observaion is ha he rule mus be of he form: ( π αy) Ey = ρ Eπ = ρ () The consan ρ is referred o as he feedback parameer. Equaion () implies ha oupu moves in such a way ha as far as possible pas demand shocks, which increase he volailiy of boh oupu and inflaion, are removed from he sysem. The level of ρ deermines o wha exen supply shocks, which have opposing effecs on oupu and inflaion volailiy, are conrolled a high ρ corresponds o a igh conrol of supply shocks and so inflaion. In effec, by imposing () we are choosing an efficien sequencing marix described below in 4 In paricular of he feedback parameer, defined below. Svennson s soluion, in many ways more direc, is ideal for his consideraion of he inflaion forecas as an inermediae arge. 5 ζ This he reduced form of he equaion π = ( ω) Επ ωπ ζy ε where α = ω. 3

5 (3). To see he mahemaical basis for equaion () - see Svensson (997) - we simply recognise ha Ey can be considered as he conrol variable for his dynamic problem. Maximising he loss funcion (which due o he linear-quadraic srucure of he model is a quadraic funcion of expeced inflaion deviaions) subjec o he consrain (S) gives a firs order condiion ha is a rule of he form (). Equaion () hen deermines he form of he opimal ineres rae rule, which is a Taylor rule, {[ λ αρ] ρπ }/ µ r = y () The curren values of inflaion and oupu in erms of las period s values are hen given by he following marix, which we shall refer o as he sequencing marix: y αρ = α ρ y π π η ε (3) I is imporan o noe ha he sequencing marix is of rank in his sysem, his is a consequence of following an efficien policy given by (). As will be described below, his rank condiion can be seen as he essenial cause of recangulariy in he case when here is no discouning. Equaion (3) is used o calculae he uncondiional variances: 6 Var( y) = Var( π ) σ η [ ] [ ] αρ αρ (/ αρ) αρ σ ρ / α ε (4) These expressions for he variances are subsiued ino he objecive funcion (L) and his allows us o calculae he value of he feedback parameer ρ ha minimises he loss. This is he posiive roo of he equaion: βρ αρ = 0 (5) The issue of he recangulariy of he policy fronier is easily described using (L). Once he opimal rule has been implemened, for a wide range of values of β, here is a small difference in he final values of Var(y) and Var(π) ha are obained. Figure () shows he shape of he policy fronier which, replicaing ha in Bean, is shown in he space of he 6 Bean uses he resul ha if X=BX - E where B is a conformable marix and E is a vecor noise process, hen Vec[Var(X)] = [ (B B)] Vec[Var(X)]. 4

6 sandard deviaions of oupu and inflaion. The oucomes for wo differen values of β, β= and β=3, are shown and can be seen o be close as described in he inroducion.. The Effec of Parameers Esimaes and Lag Srucure on Recangulariy In figure, we use he se of parameer esimaes obained by Bean (998) in his original empirical invesigaion. These are σ η =.55 and σ ε =.5 for he demand and supply shocks respecively and α = We find ha he recangulariy propery is robus o realisic aleraions in he parameer values and lag srucure of he model (accordingly, we use Bean s parameer esimaes in all subsequen figures 7 ). To examine he effec of lag srucure, we consider he following alernaive equaions for demand and supply respecively: y µ r λy η (D) = π = π αy ε (S) In (D) he lag in ineres raes has been removed so policy affecs oupu conemporaneously, while in (S) he lag in oupu has been removed so oupu affecs inflaion conemporaneously. If we consider he wo economies (S) & (D) and (S) & (D), we find ha he propery of recangulariy remains. In boh of hese economies, policy affecs inflaion wih a one period lag: his is enough o ensure ha he policy fronier becomes verical as he preferences of he auhoriy end o pure inflaion argeing, since policy canno miigae o any exen he conemporaneous supply shock. Only in he unrealisic model (S) & (D), where policy acs wihou lags and he fac ha policy can conrol he conemporaneous supply shock implies ha he policy fronier does no become verical in he limi, is he shape of he policy fronier noiceably less recangular. 8 Figure () shows he shapes of he policy fronier for all hese various models ogeher wih he oucomes for β= and β=3. 3. The Opimal Rule wih Discouning We will now use a loss funcion wih discoun facor δ: L s E δ ( π s βy ) (L) s s= 0 = 7 A recangular fronier is obained from wide ranges of parameer values. Deails available from he auhors. 8 In he model wihou lags, and for small values of β, decreasing persisence in inflaion in he model furher reduces recangulariy. This is very much no he case in he model wih lags, see foonoes and 9. 5

7 Noe ha when he moneary auhoriy minimises (L) he long run mean of boh variables is zero, and so his is he same as minimising (L) in he limi as δ. Our analysis in his secion proceeds in hree sages. Firs we idenify wo mechanisms by which he inroducion of discouning can affec opimal policy. Secondly we show ha as an auhoriy becomes more paien, boh of hese mechanisms cause he auhoriy o be more concerned wih conrolling inflaion regardless of is iniial preferences. Thirdly we describe he effec of his on he sensiiviy of policy o he weighing of he objecive funcion. The sensiiviy of policy o he weighing of he objecive funcion is now primarily wha we refer o when we discuss propery of recangulariy, raher han he shape of he fronier; he shape of he policy fronier in erms of he long-run variances of oupu and inflaion will no change when discouning is inroduced. However, he shape of policy fronier in he space of shor-run variances of oupu and inflaion is much less recangular, as seen below. Wih discouning, he opimal rule mus sill ake he same form () as above, bu he feedback parameer ρ will now be a funcion of boh β and δ. Allowing discouning alers opimal policy in wo ways. In his sysem, ineres raes affec oupu wih a one period lag and inflaion wih a wo period lag. Since policy now affecs oupu and inflaion wih differen lags, changing he discoun facor acs o change he relaive weigh on oupu in he loss funcion: for a given β, as he auhoriy becomes more myopic, i becomes more concerned wih oupu sabilisaion since i can only influence inflaion a a longer horizon. We will call his mechanism he weighing mechanism. Discouning alers policy by anoher mechanism described below which we shall refer o as he invesmen mechanism. To separae he effecs of he wo mechanisms, we make he following ~ reparamerisaion β = βδ. Varying δ while holding ~ β consan hen allows us o isolae he effec of he invesmen mechanism, since he relaive weighing in he loss funcion on oupu and inflaion deviaions a he horizon a which hey are affeced by curren policy does no hen change. Since he opimal rule under discouning remains of he same form (), he sequencing marix also akes he same form (3) wih respec o he feedback parameer. Because of he lag srucure, a ime he ineres rae decision affecs E[y ] and E[π ]. From (3) we have, ] = [ αy π ] E[ y ρ C (6) ] = ( ρα) [ αy π ] E[ π C (7) where he consans rewrie (6) and (7) as C = σ and η C = α σ η σ. Noing ha α y π = E π ] we can ε [ 6

8 ] = E[ π ] E[ y ρ C (8) ] = ( ρα) E[ π ] E[ π C (9) Equaions (8) and (9) provide he key o undersanding he oher effec of discouning on recangulariy (he invesmen mechanism ). If we ake E[π ] as given, he relaive deviaions of oupu and inflaion will be deermined by he feedback parameer: a high feedback parameer conrols inflaion bu leaves oupu far from is arge, whereas a low feedback parameer does he opposie. This is he rade-off ha a myopic (δ=0) auhoriy faces. However, he rade-off appears differen for a long-sighed auhoriy. In he fuure, oupu and inflaion deviaions will depend no only on he value of he feedback parameer, bu boh depend on he expeced deviaion of inflaion in preceding periods. By geing inflaion o arge now, he auhoriy reduces he expeced deviaions of boh inflaion and oupu in he fuure. Reducing inflaion now can be seen as an invesmen which creaes long-erm sabiliy of boh inflaion and oupu. So as he auhoriy looks o he fuure, regardless of wheher i is primarily concerned wih oupu or inflaion sabiliy, i becomes more concerned wih conrolling inflaion in he presen. Hence he policies of auhoriies wih differen preferences converge as hey become more far-sighed. 9 Noe ha in general, if he sequencing marix is of rank, here will be a paricular linear combinaion of (expeced) oupu and inflaion on which boh inflaion and oupu depend. As an auhoriy becomes more far-sighed, is policy will become more concerned wih conrolling his. Here, a far-sighed auhoriy will conrol inflaion more ighly han a myopic one and have a higher feedback parameer. We now verify his. I is shown in he appendix ha using he above reparamerisaion he feedback parameer is given by he equaion: ~ ~ [ β ( )( δ ) α] = 0 βδρ α ρ (0) For he opimal policy rule we ake he posiive roo of (0), and i can be seen ha his lies in he range [ 0, α ]. Noe ha for he case δ = equaion (0) gives he feedback parameer given by (5) above. Differeniaing (0) wih respec o δ while holding β ~ consan: 9 This invesmen argumen depends on here being some persisence in inflaion. One migh hen imagine ha removing persisence from he sysem would reduce recangulariy. This is no so: while reducing persisence in inflaion decreases he srengh of he invesmen mechanism, in a model wih lags i also reduces he rade-off beween oupu and inflaion. Wihou any persisence, he policy fronier is upward sloping and policy compleely insensiive o preferences. To see his, make he following observaion. If a policy maker cares only abou oupu sabiliy she jus uses ineres raes o conrol demand. If she cares abou inflaion as well, she uses oupu o reduce he persisence in inflaion (see foonoe ) hereby increasing he volailiy of oupu. This is he rade-off. If here is no persisence in inflaion however, she has no need o do his; minimising oupu volailiy hen minimises inflaion volailiy. Persisence causes he rade-off, bu also inroduces a mechanism by which discouning alers he opimal policy oucome. 7

9 ~ ~ ~ [ βδρ β ( )( δ ) α] βρ( ρ ) = 0 ρ α α () Since he erm in he square brackes is sricly posiive and ρ 0, ], i follows ha ρ is an [ α increasing funcion of δ. Unless he weighing objecive funcion is such ha i corresponds o a case of pure inflaion argeing or pure oupu sabilisaion, ρ is a sricly increasing funcion of δ. The invesmen mechanism augmens he weighing mechanism: he more paien he auhoriy he igher is he policy in conrolling inflaion. 3. Discouning in an Alernaive Framework As discussed above, he weighing mechanism relies on he fac ha policy affecs oupu and inflaion a differen horizons. Suppose we waned o consider he effec of discouning on a sysem where policy affeced boh oupu and inflaion a he same horizon. Consider for example he sysem (S) & (D) which as seen in figure () has he propery of recangulariy when here is no discouning. We refer o his as he one-lag case. The opimal rule now has he form Ey = ρπ which gives us he analogues of equaions (8) and (9): ] = π E[ y ρ C () ] = ( ρα) π E[ π C (3) where C = σ and C η = α σ η σ ε Here here is no weighing mechanism bu he invesmen mechanism remains he same: i can be shown ha he feedback parameer is given by an equaion idenical o (0) save for he reparamerisaion made above: 0 [ β ( )( δ ) α] = 0 βδρ α ρ (4) 3. Policy Equivalence Curves We can summarize as follows: he sysem of equaions for oupu and inflaion deermines how policy affecs he sequencing marix. This dicaes he form of he opimal rule in erms of a feedback parameer ha is consan over ime. Once he form of he opimal rule has been deermined, i only remains o solve for he feedback parameer o specify policy precisely. The feedback parameer is a funcion of he parameers β and δ, respecively preferences over inflaion and oupu sabiliy, and he level of discouning. 0 Deails available from he auhors. 8

10 Ignoring he weighing mechanism and considering he one-lag case for he momen, he feedback parameer is given by equaion (4). Then reaing ρ as fixed in (4) we can hen plo curves in ( β, δ ) space which are he locus of poins which yield equal values of ρ and so equivalen policy rules. We refer o hese as policy equivalence curves. Figure (3A) shows a series of such curves for equaion (4). Bearing in mind ha hese curves are conour lines represening equal values of ρ and ha conours wih lower values of ρ correspond o higher values of β, figure (3A) demonsraes graphically he resul derived above, ha for a given value of β he feedback parameer is increasing in δ i.e. ha policy becomes igher as he auhoriy becomes more far-sighed. We can also see ha as he auhoriy becomes more far-sighed and δ increases, changes in β resul in smaller changes in he feedback parameer. As argued above, when he auhoriy is far sighed, he weighing of he objecive funcion maers less in he formaion of policy. Figure (3B) shows he resuls in he original Bean framework using equaion (0) where he weighing mechanism is aken ino accoun; we can see ha boh hese feaures remain, only he effec is more dramaic. 4. The Implicaions for Recangulariy How do we assess he implicaions of hese resuls for recangulariy? As an example, we can calculae he compleely myopic feedback parameer in he one-lag case when δ=0 i.e. when he auhoriy jus looks one period ahead: α ρ = α (5) β The shor run policy fronier given by () and (3) in { E[y ], E[π ] } space depends on he curren level of inflaion, paricularly is magniude relaive o he sandard deviaion of he supply and demand shocks. I is easy o see ha his will no be recangular. Figure 4A shows how he shor-run policy fronier shifs ouwards as he curren level of inflaion increases, wih he policy oucomes marked for β= and β=3. Suppose a social planner who did no discoun he fuure waned o consider he impac of no specifying he weighing of he objecive funcion of her myopic moneary auhoriy. Would similar oucomes resul from a wide range of weighings? To address his quesion, we use he myopic feedback rule for differen values of β o calculae he long-run variances of inflaion and oupu. Noe ha in he space of long-run variances, since he form of he opimal rule is he same excep for he value of he feedback coefficien, he shape of he policy fronier will remain unchanged. The effec of myopia is shown on he disance 9

11 beween oucomes for wo differen values of β; hese can be seen for β=3 and β= in figure 4B for he one-lag case. The filled circles show he oucomes for a perfecly farsighed auhoriy, whereas he hollow circles show he oucome for myopia, and as can be seen hese are appreciably furher apar. When he auhoriy is myopic oucomes are more sensiive o differences in he weighing. In his original analysis Bean provides an analysis of he excess loss ha resuls from he auhoriy choosing he wrong β in calculaing he feedback coefficien. Supposing for insance ha a social planner has a paricular value of β, say β=, he excess loss diagram shows he percenage excess loss, from he poin of view of he planner, when policy is implemened by an auhoriy wih a weighing β*. In he case wih discouning, we can augmen his analysis by supposing ha he planner and he auhoriy each have heir own discoun rae. Supposing ha he planner does no discoun he fuure (i.e. δ=), figure 5A shows he excess loss from he planner s poin of view boh for an auhoriy wih δ= and for an auhoriy wih δ=0.65 in he one-lag case ; figure 5B shows he corresponding diagram for he wo-lag case. In boh diagrams, he dashed line shows he loss funcion when he auhoriy does no discoun, and he coninuous line when i does. We can see from he policy equivalence curves in figure 4, ha when he auhoriy and he social planner have differing discoun raes, he excess loss of he social planner will be zero for a paricular weighing of he auhoriy s objecive funcion β* wih β*. This is verified in figure 5. As we can see, consideraion of he relaive discoun raes can be imporan in he excess loss raes; when he auhoriy does no discoun he fuure excess loss raes are relaively low for a wide range of values of β* whereas when he auhoriy does discoun, he excess loss can be much higher. 5. Conclusions Whils i is rue in general ha a recangular policy fronier implies ha similar policy oucomes are obained from a wide range of weighings of he objecive funcions, i should be emphasised ha an imporan implicaion of recangulariy of he policy fronier is ha i makes sense for he cenral bank o concern iself wih oupu volailiy o a leas some sricly posiive exen. As can be seen in figure, a cenral bank ha purely arges inflaion will no exploi he recangulariy of he policy fronier; i will obain an oucome a he poin A whereas i migh be considered socially desirable o be in he general viciniy of B. From I is no helpful o consider a compleely myopic auhoriy in he wo-lag case, since he auhoriy will only care abou oupu, and so we obain ρ=0 and an infinie variance of inflaion regardless of he value of β. In general, however, because of he addiional impac of he weighing mechanism, he sensiiviy of oucomes o β is furher heighened in he wo-lag case when δ is small. In he one-lag case discouning has relaively lile impac on policy when β is small bu non-zero; his is no rue in he wo-lag case because of he weighing mechanism. 0

12 poin A, large gains in oupu sabiliy can be obained by compromising o a small degree on inflaion volailiy, since he slope of he policy fronier becomes verical a poin A. The implicaions for recangulariy of discouning may be summarised as follows. When he auhoriy is myopic, i focuses on he shor-run policy fronier which is no recangular. The auhoriy cares less abou inflaion he more i discouns he fuure, and is acions become increasingly sensiive o he weighing of is objecive funcion. From he poin of view of a social planner who does no discoun he fuure, large excess losses can be generaed by no obviously implausible combinaions of β and δ for he auhoriy. Wha does his say abou he way in which an auhoriy s remi should be specified? Suppose sociey wans o achieve on oucome a A on he long-run policy fronier. This can be achieved easily he auhoriy should engage in pure inflaion argeing and wheher i discouns he fuure or no is irrelevan since discouning has no effec on he acions of an auhoriy ha purely arges inflaion. However, if sociey wans o exploi he recangulariy of he long-run fronier and achieve an oucome in he viciniy of B, hen i does become imporan o consider he discoun rae of he auhoriy. Given mixed argeing and no discouning, recangulariy implies ha we are fairly likely o end up a B. Of course discouning per se does no imply an oucome away from B; were he auhoriy argeing inflaion excessively a he expense of oupu sabilisaion, increased discouning could help achieve an oucome a B. Wih discouning however, policy oucomes become more sensiive o he value of β, and again many no obviously implausible combinaions of β and δ can resul in an oucome far from B. This is paricularly rue of he wo-lag case where he weighing mechanism plays an addiional role. Since he relaive weighing of a moneary auhoriy s objecive funcion is ofen no specified in is remi, as in he U.K. case, agens in he economy in general may no have a precise idea of he auhoriy s β. When i discouns he fuure less, he acions of he auhoriy become less sensiive o he value of β and ough o be more predicable, so sabiliy is likely o be improved when he auhoriy is paien. So, provided he auhoriy does no arge inflaion excessively, arrangemens ha decrease myopia 3 ough o resul in greaer long run sabiliy. Bibliography Ball L. 997 Efficien Rules for Moneary Policy NBER Working Paper W595 The reason we consider ha such a low discoun facor (or high discoun rae) migh be plausible is for he reasons menioned in he inroducion: ha members of he MPC serve a erm of hree years, so he average remaining erm is one and a half years; and ha a period in he model corresponds o around one year. 3 For insance for he U.K., by increasing he lengh of service on he MPC.

13 Bean C. 998 The new U.K. moneary arrangemens Economic Journal 08: Clark P.B., Goodhar C.A.E. and Huang H. 999 Opimal moneary policy rules in a raional expecaions mode of he Phillips curve Journal of Moneary Economics 43: Lockwood B., Miller M. and Zhang L. 997 Designing moneary policy when unemploymen persiss Economica 65: Mash R. 000 The ime inconsisency of moneary policy wih inflaion persisence mimeo Universiy of Oxford Svensson L.E.O. 997 Inflaion forecas argeing: Implemening and monioring inflaion arges European Economic Review 997 4: -46 Appendix Define V s ~ E δ ( π s βy s ). Then he loss funcion (L) can be wrien: s= 0 = (( α y π ) σ = δ V E[ π ] = δv ω) ε L (A) Since ρ only eners (A) via V, by he principle of opimaliy, ~ V = min E[ π βy δv ] ρ (A) From equaions (8) and (9) in he main ex, we can see ha V will have he form: = A0 A E[ ] V π (A3) Subsiuing equaions (8), (9) and (A) ino he righ hand side of (A) we ge: ~ ~ [( ω) ( Aδ ) βρ ) E[ π ] δa0 βc ( δa ) C ] ρα V = min (A4) ρ Using he envelope heorem, we can hen obain he firs order condiion for ρ : ~ ρα βρ = α A δ (A5) ω ( )( ) ω Comparing he coefficien of E[π ] in (A3) and (A4) we hen obain ~ A = ρα ( A δ ) βρ Subsiuing for ( ) ω ~ β ρ from (A5) gives ρα ( )( A ) ω δ A = (A6) ρ = Comparing (A5) and (A6) we can see ha ( α ) ωβ ~ ~ βδρ [ β ( )( δ ) ( α α ω) ] ρ = 0 ~ A. Subsiuing his ino (A5) gives ω (A7)

14 Figure The Bean Policy Fronier Figure Lag Srucure 3

15 Figure 3 A. Policy Equivalence Curves B Equivalence Curves wih he Weighing Effec 4

16 Figure 4 A. Shor-Run Policy Froniers B. Long-Run Policy Froniers Myopic and Far-Sighed Oucomes 5

17 Figure 5 A. Excess Losses in he One-Lag Case wih and wihou Discouning B. Excess Losses in he Two-Lag Case wih and wihou Discouning 6

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

Policy regimes Theory

Policy regimes Theory Advanced Moneary Theory and Policy EPOS 2012/13 Policy regimes Theory Giovanni Di Barolomeo giovanni.dibarolomeo@uniroma1.i The moneary policy regime The simple model: x = - s (i - p e ) + x e + e D p

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Exam: ECON4325 Moneary Policy Dae of exam: Tuesday, May 24, 206 Grades are given: June 4, 206 Time for exam: 2.30 p.m. 5.30 p.m. The problem se covers 5 pages

More information

15. Which Rule for Monetary Policy?

15. Which Rule for Monetary Policy? 15. Which Rule for Moneary Policy? John B. Taylor, May 22, 2013 Sared Course wih a Big Policy Issue: Compeing Moneary Policies Fed Vice Chair Yellen described hese in her April 2012 paper, as discussed

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

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

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

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

Introduction D P. r = constant discount rate, g = Gordon Model (1962): constant dividend growth rate.

Introduction D P. r = constant discount rate, g = Gordon Model (1962): constant dividend growth rate. Inroducion Gordon Model (1962): D P = r g r = consan discoun rae, g = consan dividend growh rae. If raional expecaions of fuure discoun raes and dividend growh vary over ime, so should he D/P raio. Since

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

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

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

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

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

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

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

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

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

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

A Dual-Target Monetary Policy Rule for Open Economies: An Application to France ABSTRACT

A Dual-Target Monetary Policy Rule for Open Economies: An Application to France ABSTRACT A Dual-arge Moneary Policy Rule for Open Economies: An Applicaion o France ABSRAC his paper proposes a dual arges moneary policy rule for small open economies. In addiion o a domesic moneary arge, his

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

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

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

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

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

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB Elecronic Companion EC.1. Proofs of Technical Lemmas and Theorems LEMMA 1. Le C(RB) be he oal cos incurred by he RB policy. Then we have, T L E[C(RB)] 3 E[Z RB ]. (EC.1) Proof of Lemma 1. Using he marginal

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

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

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still. Lecure - Kinemaics in One Dimension Displacemen, Velociy and Acceleraion Everyhing in he world is moving. Nohing says sill. Moion occurs a all scales of he universe, saring from he moion of elecrons in

More information

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes Half-Range Series 2.5 Inroducion In his Secion we address he following problem: Can we find a Fourier series expansion of a funcion defined over a finie inerval? Of course we recognise ha such a funcion

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

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

20. Applications of the Genetic-Drift Model

20. Applications of the Genetic-Drift Model 0. Applicaions of he Geneic-Drif Model 1) Deermining he probabiliy of forming any paricular combinaion of genoypes in he nex generaion: Example: If he parenal allele frequencies are p 0 = 0.35 and q 0

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

Has the Inflation Process Changed? A Comment *

Has the Inflation Process Changed? A Comment * Has he Inflaion Process Changed? A Commen * Jordi Galí CREI, UPF, CEPR and NBER Augus 2004 * Based on he discussion of Cecchei and Debelle s paper Has he Inflaion Process Changed? presened a he Third BIS

More information

3 Optimal Informational Interest Rate Rule 3.1. Introduction

3 Optimal Informational Interest Rate Rule 3.1. Introduction 3 Opimal Informaional Ineres Rae Rule 3.1. Inroducion Any public policy may be undersood as a public signal of he curren sae of he economy as i informs he views of he governmenal auhoriy o all agens. This

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

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

IB Physics Kinematics Worksheet

IB Physics Kinematics Worksheet IB Physics Kinemaics Workshee Wrie full soluions and noes for muliple choice answers. Do no use a calculaor for muliple choice answers. 1. Which of he following is a correc definiion of average acceleraion?

More information

di Bernardo, M. (1995). A purely adaptive controller to synchronize and control chaotic systems.

di Bernardo, M. (1995). A purely adaptive controller to synchronize and control chaotic systems. di ernardo, M. (995). A purely adapive conroller o synchronize and conrol chaoic sysems. hps://doi.org/.6/375-96(96)8-x Early version, also known as pre-prin Link o published version (if available):.6/375-96(96)8-x

More information

Linear Dynamic Models

Linear Dynamic Models Linear Dnamic Models and Forecasing Reference aricle: Ineracions beween he muliplier analsis and he principle of acceleraion Ouline. The sae space ssem as an approach o working wih ssems of difference

More information

Lecture Notes 2. The Hilbert Space Approach to Time Series

Lecture Notes 2. The Hilbert Space Approach to Time Series Time Series Seven N. Durlauf Universiy of Wisconsin. Basic ideas Lecure Noes. The Hilber Space Approach o Time Series The Hilber space framework provides a very powerful language for discussing he relaionship

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

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

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

DEPARTMENT OF STATISTICS

DEPARTMENT OF STATISTICS A Tes for Mulivariae ARCH Effecs R. Sco Hacker and Abdulnasser Haemi-J 004: DEPARTMENT OF STATISTICS S-0 07 LUND SWEDEN A Tes for Mulivariae ARCH Effecs R. Sco Hacker Jönköping Inernaional Business School

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

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

1 Price Indexation and In ation Inertia

1 Price Indexation and In ation Inertia Lecures on Moneary Policy, In aion and he Business Cycle Moneary Policy Design: Exensions [0/05 Preliminary and Incomplee/Do No Circulae] Jordi Galí Price Indexaion and In aion Ineria. In aion Dynamics

More information

Lecture 4 Kinetics of a particle Part 3: Impulse and Momentum

Lecture 4 Kinetics of a particle Part 3: Impulse and Momentum MEE Engineering Mechanics II Lecure 4 Lecure 4 Kineics of a paricle Par 3: Impulse and Momenum Linear impulse and momenum Saring from he equaion of moion for a paricle of mass m which is subjeced o an

More information

KINEMATICS IN ONE DIMENSION

KINEMATICS IN ONE DIMENSION KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings move how far (disance and displacemen), how fas (speed and velociy), and how fas ha how fas changes (acceleraion). We say ha an objec

More information

Chapter 13 A New Keynesian Model with Periodic Wage Contracts

Chapter 13 A New Keynesian Model with Periodic Wage Contracts George Alogoskoufis, Dynamic Macroeconomic Theory, 2015 Chaper 13 A New Keynesian Model wih Periodic Wage Conracs The realizaion of he insabiliy of he original Phillips curve has gradually led o a paradigm

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

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x WEEK-3 Reciaion PHYS 131 Ch. 3: FOC 1, 3, 4, 6, 14. Problems 9, 37, 41 & 71 and Ch. 4: FOC 1, 3, 5, 8. Problems 3, 5 & 16. Feb 8, 018 Ch. 3: FOC 1, 3, 4, 6, 14. 1. (a) The horizonal componen of he projecile

More information

Nature Neuroscience: doi: /nn Supplementary Figure 1. Spike-count autocorrelations in time.

Nature Neuroscience: doi: /nn Supplementary Figure 1. Spike-count autocorrelations in time. Supplemenary Figure 1 Spike-coun auocorrelaions in ime. Normalized auocorrelaion marices are shown for each area in a daase. The marix shows he mean correlaion of he spike coun in each ime bin wih he spike

More information

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions Muli-Period Sochasic Models: Opimali of (s, S) Polic for -Convex Objecive Funcions Consider a seing similar o he N-sage newsvendor problem excep ha now here is a fixed re-ordering cos (> 0) for each (re-)order.

More information

Chapter 15 A Model with Periodic Wage Contracts

Chapter 15 A Model with Periodic Wage Contracts George Alogoskoufis, Dynamic Macroeconomics, 2016 Chaper 15 A Model wih Periodic Wage Conracs In his chaper we analyze an alernaive model of aggregae flucuaions, which is based on periodic nominal wage

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

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

Effects of Coordinate Curvature on Integration

Effects of Coordinate Curvature on Integration Effecs of Coordinae Curvaure on Inegraion Chrisopher A. Lafore clafore@gmail.com Absrac In his paper, he inegraion of a funcion over a curved manifold is examined in he case where he curvaure of he manifold

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

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

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

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

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

OBJECTIVES OF TIME SERIES ANALYSIS

OBJECTIVES OF TIME SERIES ANALYSIS OBJECTIVES OF TIME SERIES ANALYSIS Undersanding he dynamic or imedependen srucure of he observaions of a single series (univariae analysis) Forecasing of fuure observaions Asceraining he leading, lagging

More information

Kriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds

Kriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Kriging Models Predicing Arazine Concenraions in Surface Waer Draining Agriculural Waersheds Paul L. Mosquin, Jeremy Aldworh, Wenlin Chen Supplemenal Maerial Number

More information

= ( ) ) or a system of differential equations with continuous parametrization (T = R

= ( ) ) or a system of differential equations with continuous parametrization (T = R XIII. DIFFERENCE AND DIFFERENTIAL EQUATIONS Ofen funcions, or a sysem of funcion, are paramerized in erms of some variable, usually denoed as and inerpreed as ime. The variable is wrien as a funcion of

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

ECON 482 / WH Hong Time Series Data Analysis 1. The Nature of Time Series Data. Example of time series data (inflation and unemployment rates)

ECON 482 / WH Hong Time Series Data Analysis 1. The Nature of Time Series Data. Example of time series data (inflation and unemployment rates) ECON 48 / WH Hong Time Series Daa Analysis. The Naure of Time Series Daa Example of ime series daa (inflaion and unemploymen raes) ECON 48 / WH Hong Time Series Daa Analysis The naure of ime series daa

More information

Numerical Dispersion

Numerical Dispersion eview of Linear Numerical Sabiliy Numerical Dispersion n he previous lecure, we considered he linear numerical sabiliy of boh advecion and diffusion erms when approimaed wih several spaial and emporal

More information

Has the Business Cycle Changed? Evidence and Explanations. Appendix

Has the Business Cycle Changed? Evidence and Explanations. Appendix Has he Business Ccle Changed? Evidence and Explanaions Appendix Augus 2003 James H. Sock Deparmen of Economics, Harvard Universi and he Naional Bureau of Economic Research and Mark W. Wason* Woodrow Wilson

More information

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004 ODEs II, Lecure : Homogeneous Linear Sysems - I Mike Raugh March 8, 4 Inroducion. In he firs lecure we discussed a sysem of linear ODEs for modeling he excreion of lead from he human body, saw how o ransform

More information

Different assumptions in the literature: Wages/prices set one period in advance and last for one period

Different assumptions in the literature: Wages/prices set one period in advance and last for one period Øisein Røisland, 5.3.7 Lecure 8: Moneary policy in New Keynesian models: Inroducing nominal rigidiies Differen assumpions in he lieraure: Wages/prices se one period in advance and las for one period Saggering

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

Lecture 4 Notes (Little s Theorem)

Lecture 4 Notes (Little s Theorem) Lecure 4 Noes (Lile s Theorem) This lecure concerns one of he mos imporan (and simples) heorems in Queuing Theory, Lile s Theorem. More informaion can be found in he course book, Bersekas & Gallagher,

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

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

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

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

CENTRALIZED VERSUS DECENTRALIZED PRODUCTION PLANNING IN SUPPLY CHAINS

CENTRALIZED VERSUS DECENTRALIZED PRODUCTION PLANNING IN SUPPLY CHAINS CENRALIZED VERSUS DECENRALIZED PRODUCION PLANNING IN SUPPLY CHAINS Georges SAHARIDIS* a, Yves DALLERY* a, Fikri KARAESMEN* b * a Ecole Cenrale Paris Deparmen of Indusial Engineering (LGI), +3343388, saharidis,dallery@lgi.ecp.fr

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

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

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

Unsteady Flow Problems

Unsteady Flow Problems School of Mechanical Aerospace and Civil Engineering Unseady Flow Problems T. J. Craf George Begg Building, C41 TPFE MSc CFD-1 Reading: J. Ferziger, M. Peric, Compuaional Mehods for Fluid Dynamics H.K.

More information

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively:

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively: XIII. DIFFERENCE AND DIFFERENTIAL EQUATIONS Ofen funcions, or a sysem of funcion, are paramerized in erms of some variable, usually denoed as and inerpreed as ime. The variable is wrien as a funcion of

More information

EXERCISES FOR SECTION 1.5

EXERCISES FOR SECTION 1.5 1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler

More information

In this chapter the model of free motion under gravity is extended to objects projected at an angle. When you have completed it, you should

In this chapter the model of free motion under gravity is extended to objects projected at an angle. When you have completed it, you should Cambridge Universiy Press 978--36-60033-7 Cambridge Inernaional AS and A Level Mahemaics: Mechanics Coursebook Excerp More Informaion Chaper The moion of projeciles In his chaper he model of free moion

More information

GMM - Generalized Method of Moments

GMM - Generalized Method of Moments GMM - Generalized Mehod of Momens Conens GMM esimaion, shor inroducion 2 GMM inuiion: Maching momens 2 3 General overview of GMM esimaion. 3 3. Weighing marix...........................................

More information

1. VELOCITY AND ACCELERATION

1. VELOCITY AND ACCELERATION 1. VELOCITY AND ACCELERATION 1.1 Kinemaics Equaions s = u + 1 a and s = v 1 a s = 1 (u + v) v = u + as 1. Displacemen-Time Graph Gradien = speed 1.3 Velociy-Time Graph Gradien = acceleraion Area under

More information

13.3 Term structure models

13.3 Term structure models 13.3 Term srucure models 13.3.1 Expecaions hypohesis model - Simples "model" a) shor rae b) expecaions o ge oher prices Resul: y () = 1 h +1 δ = φ( δ)+ε +1 f () = E (y +1) (1) =δ + φ( δ) f (3) = E (y +)

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

18 Biological models with discrete time

18 Biological models with discrete time 8 Biological models wih discree ime The mos imporan applicaions, however, may be pedagogical. The elegan body of mahemaical heory peraining o linear sysems (Fourier analysis, orhogonal funcions, and so

More information

INDEX. Transient analysis 1 Initial Conditions 1

INDEX. Transient analysis 1 Initial Conditions 1 INDEX Secion Page Transien analysis 1 Iniial Condiions 1 Please inform me of your opinion of he relaive emphasis of he review maerial by simply making commens on his page and sending i o me a: Frank Mera

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

Morning Time: 1 hour 30 minutes Additional materials (enclosed):

Morning Time: 1 hour 30 minutes Additional materials (enclosed): ADVANCED GCE 78/0 MATHEMATICS (MEI) Differenial Equaions THURSDAY JANUARY 008 Morning Time: hour 30 minues Addiional maerials (enclosed): None Addiional maerials (required): Answer Bookle (8 pages) Graph

More information

Excel-Based Solution Method For The Optimal Policy Of The Hadley And Whittin s Exact Model With Arma Demand

Excel-Based Solution Method For The Optimal Policy Of The Hadley And Whittin s Exact Model With Arma Demand Excel-Based Soluion Mehod For The Opimal Policy Of The Hadley And Whiin s Exac Model Wih Arma Demand Kal Nami School of Business and Economics Winson Salem Sae Universiy Winson Salem, NC 27110 Phone: (336)750-2338

More information

Physics 180A Fall 2008 Test points. Provide the best answer to the following questions and problems. Watch your sig figs.

Physics 180A Fall 2008 Test points. Provide the best answer to the following questions and problems. Watch your sig figs. Physics 180A Fall 2008 Tes 1-120 poins Name Provide he bes answer o he following quesions and problems. Wach your sig figs. 1) The number of meaningful digis in a number is called he number of. When numbers

More information

DEPARTMENT OF ECONOMICS AND FINANCE COLLEGE OF BUSINESS AND ECONOMICS UNIVERSITY OF CANTERBURY CHRISTCHURCH, NEW ZEALAND

DEPARTMENT OF ECONOMICS AND FINANCE COLLEGE OF BUSINESS AND ECONOMICS UNIVERSITY OF CANTERBURY CHRISTCHURCH, NEW ZEALAND DEPARTMENT OF ECONOMICS AND FINANCE COLLEGE OF BUSINESS AND ECONOMICS UNIVERSITY OF CANTERBURY CHRISTCHURCH, NEW ZEALAND Asymmery and Leverage in Condiional Volailiy Models Michael McAleer WORKING PAPER

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