Problem Set 1 "Working with the Solow model"

Size: px
Start display at page:

Download "Problem Set 1 "Working with the Solow model""

Transcription

1 John Hassler, Sring 993 Problem Se "Working wih he Solow model" Le's define he following exogenous variables: s = savings rae δ = dereciaion rae of hysical caial n = oulaion growh rae g = rae of growh of labor augmening echnology. L = effecive labor suly = e (g+n) (Normalizing sandard labor suly o uniy) and he following endogenous: ~ k = caial sock er effecive labor uni (K/L). ~y = ouu er effecive labor uni (Y/L). k = caial sock er caia y = ouu er caia. a) f ~ k grows a rae g (i.e., growh rae of L. ~ k ~ = g ), wha is he growh rae of k and K. Wha is he k b) Provide some reasonable values for s, δ, n and g (consul Maddison and Romer, 989) c) The gross resource consrain for a closed economy is: FKL (, ) = C+ δ K+ K (.) Using Cobb-Douglas echnology we easily find ha: α α K = sk L δk (.) Make sure you undersand ha his is reasonable. Derive, se by se, he resource consrain in erms of k ~. (Hin: Divide by L, hen calculae he relaion beween k ~ and K K noing ha k ~ L =, subsiue and your done). d) Using your arameer values from c and a reasonable value for α, find he seady sae level of ~ k. n seady sae wha is he gross caial ouu raio K/Y?. The differenial equaion for k ~ is: ~ ~ () () α ~ k = sk ( g + n+ δ ) k (.3)

2 Problem se, John Hassler a) s his a sandard differenial equaion, ha you have seen in Mafu? Barro and Sala-i-Marin make a log-linear aroximaion o he growh rae of ~ k around i's seady sae (equaion.). They wrie: ~ k ~ = log( k ~ ) log( k ~ *) k λ3 8 (.4) b) Give an exlanaion in words for λ ha my moher (who is no an economis) would undersand. c) Calculae his derivaive from equaion (.3) a k ~ = k ~ *. Wha is is numerical value using your arameer values. d) Assume ha from an iniial seady sae, a devasaing war leads o a reducion in k ~ o one eighh of is seady sae value. Calculae he ouu ga (Y()/Y*()) immediaely afer his shock. Wha is now k ~?. Calculae he change in ineres rae (marginal roduciviy of caial) before and afer he war. How big is he ouu ga afer one year and afer 0 years? Do you hink his recovery is fas or slow?. Can you calculae he ime i akes unil half he ouu ga is gone? When is i oally gone? e) Comare a counry ha sar ou wih a caial sock k equal o he seady sae you calculaed above bu ha has half he savings rae you assumed. Calculae he seady sae level of ~ k for his counry and he iniial growh rae of ~ k and Y. The excellen rogram Mahemaica heled me find a soluion o he differenial equaion ~ ~ () () α ~ k = sk ( g + n+ δ ) k : ~ s () ( α)( g+ n+ δ) k = + ce g + n+ δ /( α) (.6) a) Calculae lim k ~ () b) Seing o 0 gives you k0 ~ () as a funcion of he inegraion consan c. Use his o subsiue for c in he exression for k ~ (). 4. Volunary bonus quesion. a) Comue k ~ from equaion (.6). Comare he value of ~ () k ~ wih he linear k () ~ ~() k * = aroximaion of Barro and Sala-i-Marin. s heir aroximaion reasonably accurae? k

3 John Hassler, Sring 993 Problem Se "The Ramsey Model for a Small Oen Economy" This roblem exends he sandard Ramsey model you saw in class. Before you do he roblem, comare his model o he Solow model in erms of model assumions. Do hey address he same quesions? When is which model more useful? Assumions We use he same noaion as in Problem Se. For simliciy we se g and n o 0. This means ha we don' have o worry abou he differences beween er caia, er effecive labor uni and aggregae unis. We are now looking a an oen economy. n order no o ge "bang-bang" adjusmens we inroduce an invesmen cos funcion so ha i becomes relaively more cosly o do heavy invesmens for a shor eriod han smaller invesmen for a long eriod. Firms Technology is given by he roducion funcion f ( k )= αk βk, (.) bu caial can no be insalled freely. nsead an invesmen cos i gi ( ) = γ, (.) has o be aid. All invesmen is financed ou of earnings and he reresenaive firm maximizes he resen value of dividends: r max e 4f ( k) i + g( i) 7 w 8d, < ia 0 0 (.3) % k K = i δk s.. & Kk = k ' 0 Since he counry is small and oen he ineres rae, r, is given and consan. Households Household own he firms and suly one uni of labor inelasically. The reresenaive household solves: Afer Gofries, Persson and Lundvik 989

4 John Hassler,Sring 993 ρ max e log( c ), 7d < c A s % a = w + d + ra c K K & a = a 0 K r lim e a 0 = K ' (.4) Quesions. Think of he roducion funcion. s i reasonable (for all values of k)? Solve he maximizaion roblem of he firm. (Hin; se u he curren value Hamilonian. Se u he hree oimaliy equaions you have learn. Two of hem involves ime differenials). Reresen he soluion as an invesmen funcion i=i(q) and wo differenial equaions, one for k and one for q, he curren value shadow rice of caial. Exlain in words wha q reresens. Solve for he seady saes of k and q, (k* and q*) and draw a hase diagram.. Les sudy he rae of convergence o he seady sae. Firs we solve he differenial equaion for k. Remember ha he soluion for k can be wrien as : λ k = c e λ + c e + k *, (.9) where he λ's are he eigenvalues of he coefficiens marix in he differenial equaion sysem for k and q. Find exressions for hese eigenvalues and find here signs. Wha does he signs imly for he value of one of he inegraion coefficiens c i. (Hin hink of wha haens as goes o infiniy). Solve for he oher inegraion coefficien. λ i r = ± γ δ + r6 + 8β Solve he roblem of he household. Sar by seing u γ he Hamilonian, now in resen values for a change. Take ime derivaives of H c =0 and subsiue in from he equaion for H a. This gives you a nice differenial equaion for c. Wha haens if ρ r? s ha reasonable? Then solve for he level of c using he ransversaliy equaion in (.4) (Hin; resen value of consumion equals resen value of income lus saring wealh). Provided ha a seady sae k* exiss.

5 John Hassler,Sring 993. Suose ρ=r and ha he economy is in seady sae. Use he hase diagram o see wha haens dynamically if we ge a ermanen increase in roduciviy (α increases). Wha haens o consumion and he curren accoun over ime. (Hin; use he following version of he iner emoral budge consrain: 0 c = w + d + ra c = f ( k) i( + g( i) 6 + ra 0 (.3) where suerscri denoes ermanen values, defined by: r x r 4x 9e d = x 7e d (.4) r 0 0 Subsiue (.3) ino he equaion for he curren accoun (.5) and noe ha a=-b, (he household canno sell is ownershi of he firm and he value of he firm is no included in a). b = f ( k ) c i ( + g( i )) rb (.5) Using his for =0 we can hen wrie he useful equaion: b = f ( k ) f ( k) i ( + g( i ) i( + g( i) ( c c ) (.6) nuiively he ermanen values are defined so ha if x is ke a x for all. The resen discouned value is he same as for he acual ah of x. 5. Wha haens if he roduciviy shock is i ) emorary (haens a =0 and ends a =s) and; ii ) aniciaed ermanen (he informaion abou he shock arrives a =0 and he acual shock haens a =s). (Hin. Draw he hase diagrams and noe ha k can newer jum (why?) and ha q can jum only when new informaion (like informaion abou a fuure roduciviy shock) arrives. n he case of he aniciaed shock noe ha a he ime of he shock he hase diagram shifs and ha a exacly he ime of he shif we have o be a he sable saddle ah for he sysem no o exlode. So when he informaion arrives a =0, he "old" hase diagram coninues o hold. Now q jums so ha {q,k] his he new sable ah a exacly =s).) 3

6 John Hassler, Sring 993 Problem Se 3 Endogenous Growh These wo roblems come from he 989 mid-erm exam in he advanced macro course a MT (Don' le ha discourage you, hey are easier han wha you have done so far.) Problem Learning by Doing Consider a closed economy wih a fixed number of eole - normalized o one - wih he following references. ρ U = log( c ) + log( u ) 7e d 0 0 (3.) Where c is consumion and u is leisure. The ouu canno be sored and he roducion funcion is given by: y = H l (3.) H is he level of human caial and as can be seen also equal o he roduciviy level and l is he labor inu. Markes are comeiive and each firm akes he level of roduciviy given. There is learning by doing, however, so H evolves over ime according o: H =υy (3.3) The consumer has one uni of ime o divide beween work and leisure each oin in ime. Quesions. Before doing any number crunching hink abou he following. n his economy, wha will haen o he fuure consumion ossibiliy se if eole decide o consume more oday? Assume ha he individual consumer is o small o consider his. Wha do you hink of he secificaion of learning by doing, does i make sense?

7 John Hassler, Sring 993. Se u he maximizaion roblem of he consumer and solve i. (Hin: Normalize he wage o one hen find he income of he consumer and he rice of he consumion good. The economy is closed and all households are equal. This imlies ha if here is a caial marke he ineres rae will have o adjus so ha no one will borrow. We can hus as well assume ha here is no caial marke. Then you can wrie a budge consrain for he consumer in each ime oin. Wih he assumion under., is he roblem saic or dynamic?). 3. Now solve for he equilibrium growh rae of he economy. 4. Now le's find he oimal growh rae of he economy. Firs, do you hink i should be higher or lower han he marke soluion? To find he soluion, follow hese ses:. Le here be a benevolen cenral lanner who maximizes U 0 bu akes ino accoun he learning by doing effec.. Wrie down he cenral lanning roblem, subsiuing for c so he only consrain is he learning by doing consrain and he choice variable is l. 3. Wrie he Hamilonian and he oimaliy condiions. Guess ha in an oimal seady sae, he labor suly is consan and hen differeniae he firs oimaliy condiion (H l ) w.r.. ime. Wha is hen he relaionshi beween he growh rae of he shadow value of he consrain and he growh rae of H? Eliminae he growh rae of he shadow value and he shadow value from he second oimaliy condiion (H A ) and you ge an exression for he growh rae of H involving υ, l and ρ 4. There is anoher exression for he growh rae of H coming from he learning by doing consrain. Use his o eliminae l from he growh rae of H from he oher exression. 5. Now you can solve for he oimal growh rae of H Lasly, noe he relaion beween he growh rae of c and he growh rae of H and you're done. (3.3)Problem. Educaion and growh There is a coninuum of workers-consumers on he inerval [0,], i.e. an infinie number of agens indexed by he real numbers i beween 0 and. Each individual has one uni of labor and has a human caial level of h i. Each agen decides ha she allocaes a i share a o work and (-a i ) o sudy. Since all individual are alike we can

8 John Hassler, Sring 993 dro he i suerscri where we don' need i. This leads o he individual increasing her sock of human caial according o: h = β( a) h (3.0) The roducion of a single individual is hen given by: α α 7 7 y = ah AH (3.) Where A and H denoes aggregae levels of a and h. i H = hdi (3.) A = 0 0 i a di Noe he exernaliy here, he individual is more roducive if he oher individuals ogeher have more human caial. The roducion canno be sored, so he individual consumer-roducer consumes wha he roduces each momen in ime. ndividuals have logarihmic uiliy and a subjecive discoun rae of ρ. Quesions. s here decreasing or consan reurns o human caial in his model? How much of he exernaliy is aken ino accoun by his small selfish agens? This can be found be evaluaing H. h i. Assume a common value of a for all agens, (is his reasonable?), hen comue he growh rae of he economy as a funcion of a. 3. Derive he equilibrium growh rae of he economy by leing he agens choose a oimally. (Hin; Se u he maximizaion roblem of he consumer-roducer and subsiue for c in he uiliy funcion. Se u he Hamilonian wih is oimaliy condiion and he solve for he growh rae of human caial assuming a seady sae where a is consan. 3

9 John Hassler, Sring Derive he oimal growh rae of he economy. Can you exlain your resuls? 4

10 John Hassler, Sring 993 Aendix o P-Se 3 Regarding coninuous oulaions A coninuous oulaion is surely an absracion. f we index eole wih all raional numbers beween 0 and each have o be infiniely small, e.g., have zero human caial in order for aggregae human caial o be finie. Neverheless his may be a useful absracion. To ry o give some inuiion, look a a oulaion consising of N (where N is very big) individuals. To calculaed heir aggregae human caial we can divide he oulaion ino grous of equal size, indexed by i ={,...}. Then we figure ou he average level of human caial er caia in each grou, h i. For higher we ge a finer division of he oulaion and for each we choose we ge a sequence of h i for i ={,...}. have drawn wo figures of h i for = 5 and 5 below. Noe ha if we increase, h i will change for each i bu i will kee is aroximae order of magniude consan n he sense ha he average over all i remains consan when increase bu he variance increases. 5

11 John Hassler, Sring 993 The amoun of human caial in each grou is hen: N h i, (3.0) So o ge oal human caial we sum over he grous: H = i= N h i (3.) This is equal o he are of all he bars in he figures, noing ha he base of each bar is N/. We can also comue how much an increase in he average human caial level for one grou i affecs aggregae human caial. is going o be: dh dh i = N (3.) Thus we see ha: dh dh i = N (3.3) decreases when increases (he ariion becomes finer). Suose we increase very much, sooner or laer hen N=. Afer ha we canno go on in realiy since hen we have o sar sliing eole (we could in fac divide eole ino ars and le he ars share equally he human caial of he individual, in his case i doesn', however, make much sense o hink of increasing he human caial of a ar of an individual). On he oher hand, if N is large we can increase very much before we run ino his roblem and we may be forgiven if we forge ha consrain. f we he le go o infiniy we have: lim N dh lim dh i i i= = 0 N = lim = 0 i h N h di (3.4) n some cases, like he one in P-se 3, i is much easier o do calculaions wih going o infiniy. Then we may formally disregard he exernaliy when oimizing for he individual. For large bu finie his is only on aroximaion. Noa bene he connecion o small firms and erfec markes. 6

12 John Hassler, Sring 993 Problem Se 4 Endogenous Growh Problem Growh from R&D 4 Consider he following version of an R&D model, similar o wha you saw in class. consiss of he following ars. Labor R&D Secor Many small R&D labs Use labor o do research Makes a discovery wih some insananeous robabiliy When a discovery is made he firm ges a aen ha i sells unil some oher firm makes a new and beer discovery Paen nermediae goods secor Sold under monoolisic comeiion. Needs aen bough from R&D secor Final good secor Sold under erfec comeiion. Buys J inus X j nermediae goods The roducion in he final goods secor is done according o: Y J = A X α, (4.) j j= where we have normalized he number of erfecly comeing firms o one (sic!). A is he roduciviy level which will increase over ime due o he work of he R&Dsecor. The final goods secor buys inermediae goods X j from a fixed number J monoolisically comeing firms roducing according o: X j = L j (4.) n order o be able o roduce, he inermediae goods roducing firms mus buy a aen (he same for all firms) from an R&D secor. n he laer we have a lo of small 4 Adaed from Aghion and Howi, and Helman.

13 John Hassler, Sring 993 R&D labs who do research. When hey do research each firm makes a new discovery wih insananeous robabiliy λz, where λ is a arameer and Z is he amoun of researcher (labor) engaged. The wage in boh secors using labor is he same. When a new discovery is made he invening firm ges a aen ha i can sell o all inermediae goods roducing firms. hus has a monooly which lass unil some oher firm makes a new discovery. A new aen increases he roduciviy A o γa. The ime index will from here on denoe he number of new discoveries from he sar of he world. Thus; A A + = γ (4.3) Quesions. The final good roducing firm ays he marginal roduc value for he inermediae goods. Normalizing he final goods rice o one. Calculae he demand (rice funcion) he monoolisic inermediae goods roducers face. Solve he saic rofi maximizaion roblem of he inermediae goods firms for a given wage w. Exress your resul in a funcion given he rice of he inermediae good as a marku on he good. nver his funcion o ge w as a funcion of arameers and X j. Find a funcion for he rofi π as a funcion of arameers and X j. The R&D firm ha has he curren aen is able o ge all rofis in he inermediae goods secor. The value of a aen is hus he discouned resen value of hese rofis unil a new aens is found. Les find his using he following ses:. Simlify by normalizing J o uniy. Using r o denoe he discoun rae and π as he flow of rofis unil he new aen comes wha is he value of he aen if he sell lengh of a aen acually is T?. New aens comes wih Poison robabiliy λz. This means ha he robabiliy λzτ of a sell of lengh T (he ime unil a new aen is found) is λze Se u he formula for he sum (inegral) of he discouned values of he rofis for all ossible sell lenghs. 3. Show ha his can be wrien as: π. (4.6) r + λz

14 John Hassler, Sring Now we should look for an equilibrium. There is free enry o he R&D-secor so execed aggregae flows of rofi is zero in his secor. The flow of rofis is π + λz and he cos is w r + λ Z Z. Use he resource consrain ha Z+L =. Now you + have enough informaion o se u he zero rofi condiion as an equaion only arameers, X and X +. Se u his difference equaion. 5. Show ha he difference equaion has a seady sae a: * α6( r + λ) X = λ α) + γα6 (4.) Do comaraive saics (see wha haens o average growh when arameers are changed) and inerre wih inuiion. Problem Growh and Governmen Sending Here here is a inu G o he roducion funcion ha is only rovided by he governmen, like infra-srucure services. The roducion funcion of he economy is hus aken o be: α y = k g α. (4.5) Governmen sending on G is financed via a fla income ax so: g =τ y. (4.6) The reresenaive consumer maximize a CES uiliy funcion: σ c max ρ e d σ > 0 c σ 0 α α s. k= ( τ ) k g c (4.7) rt lim k e = 0 T T Quesions. Wha is he marginal roduc of caial faced by he consumer. 3

15 John Hassler, Sring 993. For a given and consan ax rae solve he consumer roblem and ge a growh rae of he economy γ. Wrie γ as a funcion of σ, τ, α and ρ. (4.5)(4.6)3. Find an exression for d γ dτ resuls. and ry o sign i. And ry o give some inuiion for your 4. Now le here be a cenral benevolen lanner. Assume ha we can find an oimal ah where g/k is consan (is his reasonable?). Show ha he roblem of he cenral lanner can be wrien as: σ c max e c, τ σ 0 s. k= ( ττ ) k c lim k e T T ρ rt d α/( α) = 0 σ > 0 (4.) Solve he roblem and see if he cenrally lanned economy grows faser or slower han he marke economy. Wha is he inuiive reason for your resul. (4.)5. Discuss he relevancy of he model. 4

16 John Hassler, Sring 993 Problem Se 5 The Overlaing Generaions Model Quesion. Consider an overlaing generaions model in discree ime, where eole work and earn a wage w in he firs eriod and are reired consuming heir savings s lus ineres in he second. A generaion born a ime consumes c when young and d + when old. The hus solve he roblem: max 4Uc ( ) + ( + θ) Ud ( ) + 9 c, d+ s.. c + s = w d = s ( + r ) + + (5.) There is roducion wih consan reurns o scale. Perfec markes ensures ha: r = f '( k) w = f ( k ) r k (5.) The savings in eriod consiues he caial for he nex generaion o work wih in eriod +. Since he oulaion grows a rae n we have: k n s + ( + ) = (5.3). Solve he roblem of he consumer for a general uiliy funcion. Exress your resul as a savings funcion only deending on k, k + and arameers. Give me an equaion ha imlicily defines a seady sae. Can we say anyhing abou he sabiliy of his seady sae?. Now assume log uiliy. Find a savings funcion. Show ha i does no deend on k + and exlain why. 3. Now assume Cobb-Douglas roducion so f ( k)= k α. (5.7) Use he savings funcion o ge a difference equaion which you solve for a seady sae and find a condiion for sabiliy.

17 John Hassler, Sring Now le's use his model o comare wo ension sysems, he fully funded and he ay as you go. Firs we ake he ay as you go sysem. Le he governmen ax he young a rae τ and immediaely ay he receis o he currenly old. Assuming log uiliy, erfec foresigh and Cobb-Douglas echnology solve for he seady sae caial sock k* as a funcion of τ. Wha is he sign of he derivaive of k* wih resec o τ a τ=0? 5. Do he same as under 4. bu now assume ha he ax is used o buy caial which is used as rivae caial in he roducion. The ax receis lus ineres is hen given back o he old generaion nex eriod. The old ge ensions equal o he ax hey aid lus ineres. Solve for he seady sae and he sign of he derivaive of k* wih resec o τ a τ=0. 6. Wihou doing any calculaions, comare he effecs of he wo ension sysems in a small oen economy so ha he ineres rae is given from abroad a r*. f '( k ) = r k = f ' ( r ) * * 7. Go back o he closed economy wihou ensions and axes. Now les sudy he effecs of a emorarily exra big generaion ("fyrioaliserna"). Using he difference equaion for k you found under 3., show he dynamic effecs on k, w and r if n is exra big a bu hen goes back o normal. Follow he economy a leas a few eriods afer. Bonus quesion. Analyze he welfare of he big generaion comared o is followers.

18 John Hassler, Sring 993 Aendix o P-Se 5 A Simle Examle wih Deah Probabiliy Here is an examle ha shows ha i is no he chance of deah bu raher he birh of new generaions ha breaks Ricardian Equivalence in an overlaing generaions model. Le's assume ha here is a robabiliy o die which is, ha r=θ=0, and ha here is a erfec caial marke so if one saves and don die one ges a reurn of / on he savings. The individual hen maximizes max U c c, c 8 s.. c w c = + U c τ τ The budge consrain for he governmen is hen G = τ + τ. n he second eriod here are eole around, so he axrecies are τ. Then a balanced ax shif saisfies τ + τ = 0 τ = τ Subsiue his ino he budge consrain of he individual and we ge c w c = w c = w c = τ + τ ( τ + τ ) τ + ( τ ) ( τ + τ ) τ τ So he he chance o ge away wih some ax aymens is exacly balanced by ha higher axes have o be aid if one survives..e., execed ax aymens are indeenden of he deah robabiliy. Why is he seady sae caial sock lower in a Pay-as-You-Go Sysem? n he answer o Problem se 5 we found, as in Blanchard and Fisher, ha he seady sae caial sock was lower in he Pay-as-you-go sysem. They inerre his as a 3

19 John Hassler, Sring 993 resul of he ransfer srucure of he sysem. There is, however, anoher inerreaion ha does no sress he srucural differences. 5 n he exerimen we looked a we inroduced he Pay-as-You-Go-Sysem by immediaely saring he ransfer scheme from young o old. This means ha he generaion ha is old when he scheme begins ges an unearned ension. This is he clue o he effec. n an acuarially fair sysem, he budge consrain of each generaion is unchanged and hus also heir consumion. The governmen doesn' consume so aggregae consumion and roducion is unchanged as well he seady sae caial sock. This shows ha i is no he Pay-as-You-Go srucure ha is he clue o he effecs bu raher he acuarial unfairness. n he exerimen in Problem Se 5 as well as in Blanchard and Fisher, he caial sock is lower wih he Pay-as-You-Go sysem of he following reason; he inroducion of he sysem means ha he currenly old ake resources from heir descendans. is his iner-generaional ransfer ha gives he resul no he Pay-as-You-Go srucure. 5 See Lindbeck, Assar (99), "Klarar vi ensionerna?", SNS, Sockholm. 4

20 John Hassler, Sring 993 Problem Se 6 Consumion under uncerainy Quesion. Consider an agen who lives for wo eriods and has he same uiliy funcion in boh eriods bu discouns uiliy in he second wih +θ. She faces a consan ineres rae r and her income in eriod one is y. n eriod wo her income ~ y is random wih mean y. She maximizes execed uiliy seen from eriod.. Define he maximizaion roblem of he consumer and show ha he firs order condiion is r U'( c ) = + U'( c ) +θ E 7 (6.) where E defines he execaions oeraor. Will equaion (6.) be saisfies also in a mulieriod model? (f you can, define a value funcion and use he Bellman equaion o rove he answer. Oherwise make an informed guess and rovide some heurisic argumens.). Now assume quadraic uiliy U = αc βc. (6.6) Find he FOCs. Solve for he consumion c of he consumer. How does he consumion deend on he degree of income risk? Exlain your resul and discuss he usefulness of his uiliy secificaion. 3. Using he quadraic uiliy funcion, le's do a Hall-ye consumion ime series regression. c = µ + φc + ε (6.8) Wha is he rue regression coefficien? Will OLS on (6.8) give you unbiased and consisen esimaes of? Wha haens if you include more RHS variables ha are known in eriod -, e.g., c -?

21 John Hassler, Sring Now le's look a some oher uiliy funcions. Firs le he individual have he following uiliy funcion. αc e Uc ()= α (6.) Find he degree of absolue risk aversion of his individual. Now, se for simliciy r and T o zero and le he second eriod income be disribued according o ~ % y + ε, wih robabiliy 0.5 y = & ' y ε, wih robabiliy 0.5 (6.) Solve for c. Define s(h) as recauionary savings, i.e. he difference beween he consumion wih no risk and wih risk. s( ε) c ε = 07 c. (6.3) s recauionary savings increasing in he variance? (Hin; look a s'(h).) s i increasing in income? 5. Now le Uc () = ln() c (6.5) Find he degree absolue risk aversion of his individual, how does i deend on income. Solve for c. s recauionary savings increasing in he variance? s i increasing in income?

22 John Hassler, Sring 993 Problem Se 7 Asse ricing and erm srucure in he Lucas (978) model Quesion. Consider a large amoun of idenical agens who live for ever on a closed island wih ale rees on i (no very aealing). Each individual owns one ree which every year gives y ales. y is sochasic bu he same for all individuals a given year and nohing can be done o affec he harves nor can ales be sored beween years. The rice of ales is normalized o. There is a erfec markes for risk free bonds of mauriies from o K eriods. They give one SEK a mauriy and k, is he rice of a bond in ime eriod ha maures a +k. The agens have a ime addiive uiliy funcion wih he consumion of ales each eriod, c, as he only argumen, ime is discree and heir ime reference is +T.. Define he maximizaion roblem of he consumer.. Use he following arbirage argumen o derive an Euler equaion for c and c +k : f he consumion ah of he individual is oimal she should neiher gain nor loose execed uiliy by aking dc of curren consumion, invesing i in he risk free bond wih a mauriy of k and hen using he roceeds o buy ales in +k. Formalize his argumen and use i o derive he Euler equaion; firs for k= and hen for any sricly osiive k. 3. Do you hink ha he reurn of holding a year bond beween and + and he reurn on holding a wo year bond one year and he selling i, will be he same and/or he same in execaion?.e., is, %, + K K, = & KE K ', +,? Why, or why no?

23 John Hassler, Sring Le he uiliy funcion in each eriod be given by α c Uc ( )= α (7.4) and assume he he harvess follow ln( y ) ln( y ), = ρ + ε (7.5) wih H i.i.d. N(0,V ) and -<U<. f all agens are he same, all agens ge he same harves in a given eriod and ales are non-sorable, wha is he consumion of each individual? Follow he difference equaion you hen can se u for c forward and show ha: ln( c ) = N ρ ln( c ), σ + + ρ =N ρ ln( c ), σ + k d k k k k ρ 4 9 (7.6) ρ Now remember he roeries of he log-normal disribuion, in aricular ha if ln(x) is N(m,V ), hen a 4 9 E x = e am a 6 + σ (7.7) Now find he execaion of he marginal uiliy a +k if we know c. (7.6)5. Use your answers o calculae,k. s anyone going o buy or issue hese bonds? Then find he yield o mauriy defined in a coninuously comounding way as: log( k, ). (7.0) k Make sure you undersand his way of defining yield o mauriy. Ofen we hear ha he rices of financial asses follow random walks, do hey here? Why, or why no? 6. For a one year bond, how does he yield deend on D, V and U. How does i deend on c, for osiive, negaive and zero values of U? Why?

24 John Hassler, Sring Assume ha U is osiive, use he exression for he yield o mauriy o draw a figure wih some aroximae yield srucures for normal, bad and good curren harvess. 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 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

Cooperative Ph.D. Program in School of Economic Sciences and Finance QUALIFYING EXAMINATION IN MACROECONOMICS. August 8, :45 a.m. to 1:00 p.m.

Cooperative Ph.D. Program in School of Economic Sciences and Finance QUALIFYING EXAMINATION IN MACROECONOMICS. August 8, :45 a.m. to 1:00 p.m. Cooperaive Ph.D. Program in School of Economic Sciences and Finance QUALIFYING EXAMINATION IN MACROECONOMICS Augus 8, 213 8:45 a.m. o 1: p.m. THERE ARE FIVE QUESTIONS ANSWER ANY FOUR OUT OF FIVE PROBLEMS.

More information

Problem Set 1 "Working with the Solow model"

Problem Set 1 Working with the Solow model Problem Se "Working wih he Solow model" Le's define he following exogenous variables: s δ n savings rae depreciaion rae of physical capial populaion growh rae L labor supply e n (Normalizing labor supply

More information

Solutions Problem Set 3 Macro II (14.452)

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

More information

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

1. Consider a pure-exchange economy with stochastic endowments. The state of the economy

1. Consider a pure-exchange economy with stochastic endowments. The state of the economy Answer 4 of he following 5 quesions. 1. Consider a pure-exchange economy wih sochasic endowmens. The sae of he economy in period, 0,1,..., is he hisory of evens s ( s0, s1,..., s ). The iniial sae is given.

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

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

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

More information

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

Our main purpose in this section is to undertake an examination of the stock

Our main purpose in this section is to undertake an examination of the stock 3. Caial gains ax and e sock rice volailiy Our main urose in is secion is o underake an examinaion of e sock rice volailiy by considering ow e raional seculaor s olding canges afer e ax rae on caial gains

More information

Intermediate Macroeconomics: Mid-term exam May 30 th, 2016 Makoto Saito

Intermediate Macroeconomics: Mid-term exam May 30 th, 2016 Makoto Saito 1 Inermediae Macroeconomics: Mid-erm exam May 30 h, 2016 Makoo Saio Try he following hree roblems, and submi your answer in handwrien A4 aers. You are execed o dro your aers ino he mailbox assigned for

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

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

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

More information

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

FINM 6900 Finance Theory

FINM 6900 Finance Theory FINM 6900 Finance Theory Universiy of Queensland Lecure Noe 4 The Lucas Model 1. Inroducion In his lecure we consider a simple endowmen economy in which an unspecified number of raional invesors rade asses

More information

A Dynamic Model of Economic Fluctuations

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

More information

Lecture Notes 5: Investment

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

More information

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

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

Intergenerational Risk Sharing, Stability and Optimality of Alternative Pension Systems

Intergenerational Risk Sharing, Stability and Optimality of Alternative Pension Systems Inergeneraional Risk Sharing, Sabiliy and Oimaliy of Alernaive Pension Sysems by John Hassler and Assar Lindbeck Insiue for Inernaional Economic Sudies This revision: January 3, 998 JEL Classificaion number:

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

1 Consumption and Risky Assets

1 Consumption and Risky Assets Soluions o Problem Se 8 Econ 0A - nd Half - Fall 011 Prof David Romer, GSI: Vicoria Vanasco 1 Consumpion and Risky Asses Consumer's lifeime uiliy: U = u(c 1 )+E[u(c )] Income: Y 1 = Ȳ cerain and Y F (

More information

Macroeconomics I, UPF Professor Antonio Ciccone SOLUTIONS PROBLEM SET 1

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

More information

Unit 6. Firm behaviour and market structure: perfect competition

Unit 6. Firm behaviour and market structure: perfect competition Uni 6. Firm behaviour and marke srucure: erfec comeiion In accordance wih he APT rogramme objecives of he lecure are o hel You o: deermine shor-run and long-run equilibrium, boh for he rofi-maximizing

More information

Problem Set on Differential Equations

Problem Set on Differential Equations Problem Se on Differenial Equaions 1. Solve he following differenial equaions (a) x () = e x (), x () = 3/ 4. (b) x () = e x (), x (1) =. (c) xe () = + (1 x ()) e, x () =.. (An asse marke model). Le p()

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

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

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

More information

Economics 8105 Macroeconomic Theory Recitation 6

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

More information

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

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid

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

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

Lecture 3: Solow Model II Handout

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

More information

( ) 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

Chapter 3 Common Families of Distributions

Chapter 3 Common Families of Distributions Chaer 3 Common Families of Disribuions Secion 31 - Inroducion Purose of his Chaer: Caalog many of common saisical disribuions (families of disribuions ha are indeed by one or more arameers) Wha we should

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

Introduction to choice over time

Introduction to choice over time Microeconomic Theory -- Choice over ime Inroducion o choice over ime Individual choice Income and subsiuion effecs 7 Walrasian equilibrium ineres rae 9 pages John Riley Ocober 9, 08 Microeconomic Theory

More information

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

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

More information

1 birth rate γ (number of births per time interval) 2 death rate δ proportional to size of population

1 birth rate γ (number of births per time interval) 2 death rate δ proportional to size of population Scienific Comuing I Module : Poulaion Modelling Coninuous Models Michael Bader Par I ODE Models Lehrsuhl Informaik V Winer 7/ Discree vs. Coniuous Models d d = F,,...) ) =? discree model: coninuous model:

More information

Full file at

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

More information

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

Examples of Dynamic Programming Problems

Examples of Dynamic Programming Problems M.I.T. 5.450-Fall 00 Sloan School of Managemen Professor Leonid Kogan Examples of Dynamic Programming Problems Problem A given quaniy X of a single resource is o be allocaed opimally among N producion

More information

ENVIRONMENTAL TAX POLICY AND LONG-RUN ECONOMIC GROWTH*

ENVIRONMENTAL TAX POLICY AND LONG-RUN ECONOMIC GROWTH* The Jaanese Economic Review Vol. 54, No., June 003 Blackwell Oxford, JERE The 35-4739 00 000 Original Environmenal T. Ono Jaanese UK Aricle ublishing Economic Tax olicy Ld Associaion, Review and Long-run

More information

Macroeconomics Qualifying Examination

Macroeconomics Qualifying Examination Macroeconomics Qualifying Examinaion January 205 Deparmen of Economics UNC Chapel Hill Insrucions: This examinaion consiss of four quesions. Answer all quesions. If you believe a quesion is ambiguously

More information

Solutions to Assignment 1

Solutions to Assignment 1 MA 2326 Differenial Equaions Insrucor: Peronela Radu Friday, February 8, 203 Soluions o Assignmen. Find he general soluions of he following ODEs: (a) 2 x = an x Soluion: I is a separable equaion as we

More information

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

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

More information

Midterm Exam. Macroeconomic Theory (ECON 8105) Larry Jones. Fall September 27th, Question 1: (55 points)

Midterm Exam. Macroeconomic Theory (ECON 8105) Larry Jones. Fall September 27th, Question 1: (55 points) Quesion 1: (55 poins) Macroeconomic Theory (ECON 8105) Larry Jones Fall 2016 Miderm Exam Sepember 27h, 2016 Consider an economy in which he represenaive consumer lives forever. There is a good in each

More information

Lecture 2D: Rank-Size Rule

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

More information

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

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

A New-Keynesian Model

A New-Keynesian Model Deparmen of Economics Universiy of Minnesoa Macroeconomic Theory Varadarajan V. Chari Spring 215 A New-Keynesian Model Prepared by Keyvan Eslami A New-Keynesian Model You were inroduced o a monopolisic

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

pe pt dt = e pt Probabilty of death given survival till t : pe pt = p Expected life at t : pe(s t)p ds = e (s t)p t =

pe pt dt = e pt Probabilty of death given survival till t : pe pt = p Expected life at t : pe(s t)p ds = e (s t)p t = BLANCHARD Probabiliy of Deah: π () = pe p ; Probabily of living ill : Ω () = pe p d = e p Probabily of deah given survival ill : pe p = p e p Expeced life a : (s ) pe (s )p ds = p 1 Populaion normalized

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

Economics 6130 Cornell University Fall 2016 Macroeconomics, I - Part 2

Economics 6130 Cornell University Fall 2016 Macroeconomics, I - Part 2 Economics 6130 Cornell Universiy Fall 016 Macroeconomics, I - Par Problem Se # Soluions 1 Overlapping Generaions Consider he following OLG economy: -period lives. 1 commodiy per period, l = 1. Saionary

More information

Simulating models with heterogeneous agents

Simulating models with heterogeneous agents Simulaing models wih heerogeneous agens Wouer J. Den Haan London School of Economics c by Wouer J. Den Haan Individual agen Subjec o employmen shocks (ε i, {0, 1}) Incomplee markes only way o save is hrough

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

Final Exam. Tuesday, December hours

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

More information

Unit Root Time Series. Univariate random walk

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

More information

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

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

Intermediate Macro In-Class Problems

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

More information

Continuous Time Markov Chain (Markov Process)

Continuous Time Markov Chain (Markov Process) Coninuous Time Markov Chain (Markov Process) The sae sace is a se of all non-negaive inegers The sysem can change is sae a any ime ( ) denoes he sae of he sysem a ime The random rocess ( ) forms a coninuous-ime

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

Problem set 3: Endogenous Innovation - Solutions

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

More information

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

Graduate Macro Theory II: Notes on Neoclassical Growth Model

Graduate Macro Theory II: Notes on Neoclassical Growth Model Graduae Macro Theory II: Noes on Neoclassical Growh Model Eric Sims Universiy of Nore Dame Spring 2015 1 Basic Neoclassical Growh Model The economy is populaed by a large number of infiniely lived agens.

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

Lecture 2D: Rank-Size Rule

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

More information

Financial Econometrics Jeffrey R. Russell Midterm Winter 2009 SOLUTIONS

Financial Econometrics Jeffrey R. Russell Midterm Winter 2009 SOLUTIONS Name SOLUTIONS Financial Economerics Jeffrey R. Russell Miderm Winer 009 SOLUTIONS You have 80 minues o complee he exam. Use can use a calculaor and noes. Try o fi all your work in he space provided. If

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

Description of the MS-Regress R package (Rmetrics)

Description of the MS-Regress R package (Rmetrics) Descriion of he MS-Regress R ackage (Rmerics) Auhor: Marcelo Perlin PhD Suden / ICMA Reading Universiy Email: marceloerlin@gmail.com / m.erlin@icmacenre.ac.uk The urose of his documen is o show he general

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

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

Math 333 Problem Set #2 Solution 14 February 2003

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

More information

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

BOX-JENKINS MODEL NOTATION. The Box-Jenkins ARMA(p,q) model is denoted by the equation. pwhile the moving average (MA) part of the model is θ1at

BOX-JENKINS MODEL NOTATION. The Box-Jenkins ARMA(p,q) model is denoted by the equation. pwhile the moving average (MA) part of the model is θ1at BOX-JENKINS MODEL NOAION he Box-Jenkins ARMA(,q) model is denoed b he equaion + + L+ + a θ a L θ a 0 q q. () he auoregressive (AR) ar of he model is + L+ while he moving average (MA) ar of he model is

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

COMPETITIVE GROWTH MODEL

COMPETITIVE GROWTH MODEL COMPETITIVE GROWTH MODEL I Assumpions We are going o now solve he compeiive version of he opimal growh moel. Alhough he allocaions are he same as in he social planning problem, i will be useful o compare

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

Vector autoregression VAR. Case 1

Vector autoregression VAR. Case 1 Vecor auoregression VAR So far we have focused mosl on models where deends onl on as. More generall we migh wan o consider oin models ha involve more han one variable. There are wo reasons: Firs, we migh

More information

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

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

More information

THE BELLMAN PRINCIPLE OF OPTIMALITY

THE BELLMAN PRINCIPLE OF OPTIMALITY THE BELLMAN PRINCIPLE OF OPTIMALITY IOANID ROSU As I undersand, here are wo approaches o dynamic opimizaion: he Ponrjagin Hamilonian) approach, and he Bellman approach. I saw several clear discussions

More information

The Blanchard (1985) Model of Perpetual Youth

The Blanchard (1985) Model of Perpetual Youth c November 20, 2017, Chrisopher D. Carroll BlanchardFinieHorizon The Blanchard (1985) Model of Perpeual Youh This handou analyzes a way o relax he sandard assumpion of infinie lifeimes in he Ramsey/Cass-Koopmans

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

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

Model appendix. Frank Smets and Raf Wouters. November 20, Decision problems of rms and households and equilibrium

Model appendix. Frank Smets and Raf Wouters. November 20, Decision problems of rms and households and equilibrium Model aendix Frank Smes and Raf Wouers November 20, 2006 Decision roblems of rms and households and equilibrium condiions. Final goods roducers The nal good Y is a comosie made of a coninuum of inermediae

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

Chapter 2. First Order Scalar Equations

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

More information

RANDOM LAGRANGE MULTIPLIERS AND TRANSVERSALITY

RANDOM LAGRANGE MULTIPLIERS AND TRANSVERSALITY ECO 504 Spring 2006 Chris Sims RANDOM LAGRANGE MULTIPLIERS AND TRANSVERSALITY 1. INTRODUCTION Lagrange muliplier mehods are sandard fare in elemenary calculus courses, and hey play a cenral role in economic

More information

A Note on Public Debt, Tax-Exempt Bonds, and Ponzi Games

A Note on Public Debt, Tax-Exempt Bonds, and Ponzi Games WP/07/162 A Noe on Public Deb, Tax-Exemp Bonds, and Ponzi Games Berhold U Wigger 2007 Inernaional Moneary Fund WP/07/162 IMF Working Paper Fiscal Affairs Deparmen A Noe on Public Deb, Tax-Exemp Bonds,

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

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

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

Appendix 14.1 The optimal control problem and its solution using

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

More information

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution Physics 7b: Saisical Mechanics Fokker-Planck Equaion The Langevin equaion approach o he evoluion of he velociy disribuion for he Brownian paricle migh leave you uncomforable. A more formal reamen of his

More information

The Goals of his Research To undersand financial crises wih a model of muliple seady sae equilibria To undersand he role of fiscal policy in resoring

The Goals of his Research To undersand financial crises wih a model of muliple seady sae equilibria To undersand he role of fiscal policy in resoring Fiscal Policy Can Reduce Unemploymen: Bu There is a Beer Alernaive Federal Reserve Bank of Alana January 9 h 2010 Roger E. A. Farmer Deparmen of Economics UCLA 1 The Goals of his Research To undersand

More information

Challenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k

Challenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k Challenge Problems DIS 03 and 0 March 6, 05 Choose one of he following problems, and work on i in your group. Your goal is o convince me ha your answer is correc. Even if your answer isn compleely correc,

More information

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

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

More information

Cash Flow Valuation Mode Lin Discrete Time

Cash Flow Valuation Mode Lin Discrete Time IOSR Journal of Mahemaics (IOSR-JM) e-issn: 2278-5728,p-ISSN: 2319-765X, 6, Issue 6 (May. - Jun. 2013), PP 35-41 Cash Flow Valuaion Mode Lin Discree Time Olayiwola. M. A. and Oni, N. O. Deparmen of Mahemaics

More information