Final Exam. Tuesday, December hours
|
|
- Archibald Goodwin
- 6 years ago
- Views:
Transcription
1 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 he calculaions. 4. If you need more space, use he back of he page. 5. Fully label all graphs. Good uck
2 . (0 poins). The nex figure shows he naural log of real GDP per capia in wo counries, and B, over he 40 year period a. Based on he figure (circle he correc answer), i. Counry is growing faser han counry B before 990 ii. Boh counries grow a he same rae before 990 iii. Boh counries grow a he same rae afer 990 iv. Counry s real GDP per capia is growing a acceleraing rae before 990. b. Based on he figure, he approximae annual growh rae of GDP per capia, in counry, over he enire period is (circle he correc answer), i. % ii..5% iii. 4% iv. 5% c. Based on your answer o par b, and given ha populaion in counry grows a % per year, find he approximae annual growh rae of real GDP in counry. RGDP RGDP POP POP.5% RGDP % RGDP 3.5%
3 . (0 poins). Consider he Solow model discued in cla, and described as follows. Oupu is produced according o Y K, 0. Capial evolves according o K K ( ) I, where is he depreciaion rae and I is aggregae invesmen. People save a fracion s of heir income. This fracion is exogenous. Thus, he oal saving and oal invesmen in his economy are S I sy. The populaion of workers grows a a consan rae of n, which is exogenous in his model. Thus, ( n). a. Solve for he seady sae capial per worker, oupu per worker, and consumpion per worker (i.e. derive he expreions for k, y, c ). Deriving he law of moion of capial per worker: K K ( ) sk ( n) ( n) sk k k n n Using he definiion of a seady sae: k k k k k k n ( n) ( ) k ( n ) sk k c s n y k sk n s n ( s) y sk k k
4 b. Derive he golden rule saving rae, s GR (he saving rae which maximizes he seady sae consumpion per worker). We sar by deriving he opimal capial per worker: max c s k k k s.. ( n ) k sk The consrain means ha indeed he capial per worker is a is seady sae level. Plugging he consrain ino he objecive, gives: sk maxc k ( n ) k k The firs order condiion is: kgr ( n ) 0 ( n ) kgr kgr n Comparing his o he seady sae capial per worker, from he previous secion, s k, implies ha he golden rule saving rae is: n s GR 3
5 3. (0 poins). Suppose ha you wan o measure he produciviy level,, in a given economy, under he aumpion ha aggregae oupu is Cobb-Douglas, i.e. Y K, 0. a. Wrie he formula ha you would use, and describe wha daa you would need for obaining a ime series on. K Y I would need daa on real GDP, Y, physical capial, workers or oal hours),, and capial share,. K, labor inpu (eiher number of b. Suppose ha you ploed ln( ) as a funcion of ime, and he resuling graph, wih he fied linear rend and is equaion, are presened below. ln(tfp) ln(tfp) in U.S. y = 0.0x Years ln() inear (ln()) Based on he above graph, approximaely, wha is your esimaed average growh rae of produciviy (in %)? Round your answer o he neares enh of a percen. pproximaely,.% per year. 4
6 4. (0 poins). Suppose ha he echnology producion funcion is ˆ where is he level of echnology, 0,, is he number of researchers in he economy and is he consan cos of echnological improvemen in erms of researchers. a. ccording o his model, higher level of echnology, all else being he same, leads o slower growh rae of echnology. True/false, circle he correc answer, and briefly explain. The erm is a decreasing funcion of, which means ha if he sock of echnology already in exisence is large, i is harder o develop new echnology because scieniss need o cover a lo of maerial. Therefore, he erm is referred o as he "fishing-ou effec" of echnology producion. The analogy o fishing is ha afer caching all he big and lazy fish in he lake, i is harder o cach new fish. b. Suppose ha is growing a consan rae. Derive he approximae relaionship beween he growh rae of produciviy ( Â ) and he growh rae in he number of researchers ( ˆ ). Show your derivaions.,, ( ˆ ) ( ˆ ) Taking logs: 0 ln( ˆ ) ln( ˆ) This approximaely: 0 ˆ ˆ ˆ ˆ 5
7 5. (0 poins). Suppose ha he oal oupu, as a funcion of labor, in indusries / and is given by Y and Y, and he oal labor available for hese wo indusries is 0. lso suppose ha he produciviies are given by, 4. a. Find he efficien allocaion of labor beween he wo indusries. Efficien allocaion equalizes he marginal producs in he wo secors: MP / * 4, * MP / 6 b. Suppose ha he curren allocaion is 3, 7. Deermine wheher his allocaion is (i) efficien, (ii) overallocaion o secor, or (iii) overallocaion o secor, and illusrae your answer graphically. MP MP Oupu lo due o overallocaion o secor. Efficien allocaion: * * 6,
8 6. (0 poins). John and Melia work as waiers in a resauran, and earn heir income from ips. Suppose ha each of hem can choose one of hree effor levels: {0,, }. The individual coss (in $) of hese effor levels are {0, 49, 00}. The income from ips ha each of hem receives, depends on heir individual effor levels as follows: Individual effor level 0 Tips earned in $ (individual) a. How much effor will each of hem choose, and how much ips will each of hem earn, if ips earned are privae (no shared wih oher waiers)? Explain briefly. Individual effor level 0 Tips earned in $ (individual) Individual cos Individual profi (Revenue Cos) The highes individual profi earned is wih effor level of, and each of hem will earn $00 in ips. b. Now suppose ha he resauran policy is ha all waiers share he ips earned equally, regardle of how much ips each of hem earned. How much effor will each of hem choose, and how much ips will each of hem earn, under his policy? To answer his quesion you are required o consruc he payoff marix and use he concep of Nash Equilibrium. John Melia 0 0 0, 0 50, 00, 0, 50 5, 5 0, 50 0, 00 50, 0 00, 00 There is only one Nash Equilibrium in he above game: {, }, which means ha each of hem will work a effor level. Noice ha is a dominan sraegy for boh players, and herefore i is always a bes response. s a resul, each of hem will earn $00 worh of ips, insead of $00 under he policy where ips are no shared. 7
9 c. Wha do we learn from he above example abou he inefficiencies embodied in communal (socialis) indusry? Wih shared ips, workers have incenives o shirk (free ride). If John works hard (a effor level ), Melia has an incenive o only work a effor level. nd vise versa. Each worker in a communal indusry (e.g. "The Grea eap Forward" plan by Mao), benefis from effors of ohers, and herefore has a negaive incenive o work hard. 8
10 7. (0 poins). Suppose ha he quaniy of fish ha grows each year in ake S S Superior depends on he exising sock of fish as follows: G. 000 a. Calculae he opimal sock of fish in he lake. The opimal sock maximizes growh, and hus allows for maximal harves. To find i, we solve: The firs order condiion is: max S S S 500S 0.5S 500 S 0 S * 500 b. Calculae he maximum susainable yield. The maximum susainable yield: * * S S G 000 *
11 c. Suppose ha he curren sock is S 00 and he curren harves (fish caugh) is H 00. Calculae he nex period sock of fish in he lake, S. The growh in he curren period is: S S G The nex period sock is herefore: S S G H Thus, he nex period sock is smaller han his period. 80 d. Suppose ha due o overfishing, he governmen wans o reduce he number of fishermen in he lake. Sugges a policy ha will achieve his goal. Fishing permi. I increases he cos of fishing, and reduces he number of people fishing in he lake. e. Wha is he difficuly wih applying similar policy you suggesed in he las secion o comba global warming? mosphere, as opposed o mos lakes, does no belong o a single counry. Thus, a permi ha reduces polluion and abuse of amosphere requires coordinaion and agreemen of many counries. 0
Suggested Solutions to Assignment 4 (REQUIRED) Submisson Deadline and Location: March 27 in Class
EC 450 Advanced Macroeconomics Insrucor: Sharif F Khan Deparmen of Economics Wilfrid Laurier Universiy Winer 2008 Suggesed Soluions o Assignmen 4 (REQUIRED) Submisson Deadline and Locaion: March 27 in
More informationMacroeconomic 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 informationThe 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( ) (, ) 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 informationCooperative 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 information5.1 - Logarithms and Their Properties
Chaper 5 Logarihmic Funcions 5.1 - Logarihms and Their Properies Suppose ha a populaion grows according o he formula P 10, where P is he colony size a ime, in hours. When will he populaion be 2500? We
More informationT. 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 informationProblem 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 informationEconomics 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 informationFinal 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 informationMacroeconomics 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 informationLecture 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 informationProblem 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 informationProblem 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 informationUnemployment and Mismatch in the UK
Unemploymen and Mismach in he UK Jennifer C. Smih Universiy of Warwick, UK CAGE (Cenre for Compeiive Advanage in he Global Economy) BoE/LSE Conference on Macroeconomics and Moneary Policy: Unemploymen,
More informationThe 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 informationLecture 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 information3.1.3 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 informationExplaining 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 information4.1 - Logarithms and Their Properties
Chaper 4 Logarihmic Funcions 4.1 - Logarihms and Their Properies Wha is a Logarihm? We define he common logarihm funcion, simply he log funcion, wrien log 10 x log x, as follows: If x is a posiive number,
More information1. 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 informationSolutions 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 informationThe average rate of change between two points on a function is d t
SM Dae: Secion: Objecive: The average rae of change beween wo poins on a funcion is d. For example, if he funcion ( ) represens he disance in miles ha a car has raveled afer hours, hen finding he slope
More informationLecture 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 information5.2. The Natural Logarithm. Solution
5.2 The Naural Logarihm The number e is an irraional number, similar in naure o π. Is non-erminaing, non-repeaing value is e 2.718 281 828 59. Like π, e also occurs frequenly in naural phenomena. In fac,
More informationA 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 information1.6. Slopes of Tangents and Instantaneous Rate of Change
1.6 Slopes of Tangens and Insananeous Rae of Change When you hi or kick a ball, he heigh, h, in meres, of he ball can be modelled by he equaion h() 4.9 2 v c. In his equaion, is he ime, in seconds; c represens
More information1 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 informationA 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 informationProblem Set #1 - Answers
Fall Term 24 Page of 7. Use indifference curves and a curved ransformaion curve o illusrae a free rade equilibrium for a counry facing an exogenous inernaional price. Then show wha happens if ha exogenous
More informationMath 115 Final Exam December 14, 2017
On my honor, as a suden, I have neiher given nor received unauhorized aid on his academic work. Your Iniials Only: Iniials: Do no wrie in his area Mah 5 Final Exam December, 07 Your U-M ID # (no uniqname):
More informationANSWERS 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 informationUNIVERSITY 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 informationCOMPETITIVE 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 informationThe Brock-Mirman Stochastic Growth Model
c November 20, 207, 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
More informationIntermediate 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(a) Set up the least squares estimation procedure for this problem, which will consist in minimizing the sum of squared residuals. 2 t.
Insrucions: The goal of he problem se is o undersand wha you are doing raher han jus geing he correc resul. Please show your work clearly and nealy. No credi will be given o lae homework, regardless of
More informationBiol. 356 Lab 8. Mortality, Recruitment, and Migration Rates
Biol. 356 Lab 8. Moraliy, Recruimen, and Migraion Raes (modified from Cox, 00, General Ecology Lab Manual, McGraw Hill) Las week we esimaed populaion size hrough several mehods. One assumpion of all hese
More informationFinal 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 informationProblem 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 informationOn 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( ) 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 information15.023J / J / ESD.128J Global Climate Change: Economics, Science, and Policy Spring 2008
MIT OpenCourseWare hp://ocw.mi.edu 15.023J / 12.848J / ESD.128J Global Climae Change: Economics, Science, and Policy Spring 2008 For informaion abou ciing hese maerials or our Terms of Use, visi: hp://ocw.mi.edu/erms.
More informationFull 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 informationOnline 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 informationSolutions 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 informationFall 2015 Final Examination (200 pts)
Econ 501 Fall 2015 Final Examinaion (200 ps) S.L. Parene Neoclassical Growh Model (50 ps) 1. Derive he relaion beween he real ineres rae and he renal price of capial using a no-arbirage argumen under he
More informationThis 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 informationSeminar 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 informationKINEMATICS 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 informationLABOR MATCHING MODELS: BASIC DSGE IMPLEMENTATION APRIL 12, 2012
LABOR MATCHING MODELS: BASIC DSGE IMPLEMENTATION APRIL 12, 2012 FIRM VACANCY-POSTING PROBLEM Dynamic firm profi-maimizaion problem ma 0 ( ) f Ξ v, n + 1 = 0 ( f y wn h g v ) Discoun facor beween ime 0
More information= ( ) ) 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 informationPredator - 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 informationAdvanced Macroeconomics 5. PRODUCTIVE EXTERNALITIES AND ENDOGENOUS GROWTH
PART III. ENDOGENOUS GROWTH 5. PRODUCTIVE EXTERNALITIES AND ENDOGENOUS GROWTH Alhough he Solow models sudied so far are quie successful in accouning for many imporan aspecs of economic growh, hey have
More informationMath 105 Second Midterm March 16, 2017
Mah 105 Second Miderm March 16, 2017 UMID: Insrucor: Iniials: Secion: 1. Do no open his exam unil you are old o do so. 2. Do no wrie your name anywhere on his exam. 3. This exam has 9 pages including his
More information1 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 information20. 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 informationChapter 15: Phenomena. Chapter 15 Chemical Kinetics. Reaction Rates. Reaction Rates R P. Reaction Rates. Rate Laws
Chaper 5: Phenomena Phenomena: The reacion (aq) + B(aq) C(aq) was sudied a wo differen emperaures (98 K and 35 K). For each emperaure he reacion was sared by puing differen concenraions of he 3 species
More information15. Bicycle Wheel. Graph of height y (cm) above the axle against time t (s) over a 6-second interval. 15 bike wheel
15. Biccle Wheel The graph We moun a biccle wheel so ha i is free o roae in a verical plane. In fac, wha works easil is o pu an exension on one of he axles, and ge a suden o sand on one side and hold he
More informationExamples 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 informationgrows at a constant rate. Besides these classical facts, there also other empirical regularities which growth theory must account for.
Par I Growh Growh is a vas lieraure in macroeconomics, which seeks o explain some facs in he long erm behavior of economies. The curren secion is an inroducion o his subjec, and will be divided in hree
More informationMidterm 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 informationA 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 informationChapter 7: Solving Trig Equations
Haberman MTH Secion I: The Trigonomeric Funcions Chaper 7: Solving Trig Equaions Le s sar by solving a couple of equaions ha involve he sine funcion EXAMPLE a: Solve he equaion sin( ) The inverse funcions
More informationE 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) were both constant and we brought them from under the integral.
YIELD-PER-RECRUIT (coninued The yield-per-recrui model applies o a cohor, bu we saw in he Age Disribuions lecure ha he properies of a cohor do no apply in general o a collecion of cohors, which is wha
More informationSome 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 informationPhysics 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 informationA First Course on Kinetics and Reaction Engineering. Class 19 on Unit 18
A Firs ourse on Kineics and Reacion Engineering lass 19 on Uni 18 Par I - hemical Reacions Par II - hemical Reacion Kineics Where We re Going Par III - hemical Reacion Engineering A. Ideal Reacors B. Perfecly
More informationEstimation Uncertainty
Esimaion Uncerainy The sample mean is an esimae of β = E(y +h ) The esimaion error is = + = T h y T b ( ) = = + = + = = = T T h T h e T y T y T b β β β Esimaion Variance Under classical condiions, where
More informationPhysics 20 Lesson 5 Graphical Analysis Acceleration
Physics 2 Lesson 5 Graphical Analysis Acceleraion I. Insananeous Velociy From our previous work wih consan speed and consan velociy, we know ha he slope of a posiion-ime graph is equal o he velociy of
More information1 Review of Zero-Sum Games
COS 5: heoreical Machine Learning Lecurer: Rob Schapire Lecure #23 Scribe: Eugene Brevdo April 30, 2008 Review of Zero-Sum Games Las ime we inroduced a mahemaical model for wo player zero-sum games. Any
More informationLab #2: Kinematics in 1-Dimension
Reading Assignmen: Chaper 2, Secions 2-1 hrough 2-8 Lab #2: Kinemaics in 1-Dimension Inroducion: The sudy of moion is broken ino wo main areas of sudy kinemaics and dynamics. Kinemaics is he descripion
More informationMATH ANALYSIS HONORS UNIT 6 EXPONENTIAL FUNCTIONS TOTAL NAME DATE PERIOD DATE TOPIC ASSIGNMENT /19 10/22 10/23 10/24 10/25 10/26 10/29 10/30
NAME DATE PERIOD MATH ANALYSIS HONORS UNIT 6 EXPONENTIAL FUNCTIONS DATE TOPIC ASSIGNMENT 10 0 10/19 10/ 10/ 10/4 10/5 10/6 10/9 10/0 10/1 11/1 11/ TOTAL Mah Analysis Honors Workshee 1 Eponenial Funcions
More informationVehicle 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 informationStrategic Resource Extraction, Capital Accumulation and Overlapping Generations
Sraegic Resource Exracion, Capial Accumulaion and Overlapping Generaions Leonard J. Mirman a a Deparmen of Economics, Universiy of Virginia, Charloesville, VA 22903 Ted To b, b Bureau of Labor Saisics,
More information4.5 Constant Acceleration
4.5 Consan Acceleraion v() v() = v 0 + a a() a a() = a v 0 Area = a (a) (b) Figure 4.8 Consan acceleraion: (a) velociy, (b) acceleraion When he x -componen of he velociy is a linear funcion (Figure 4.8(a)),
More informationMath 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 informationEssential 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 informationSTA 114: Statistics. Notes 2. Statistical Models and the Likelihood Function
STA 114: Saisics Noes 2. Saisical Models and he Likelihood Funcion Describing Daa & Saisical Models A physicis has a heory ha makes a precise predicion of wha s o be observed in daa. If he daa doesn mach
More informationMONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 4, 2011 BUILDING THE EQUILIBRIUM. p = 1. Dixit-Stiglitz Model
MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 4, 211 Dixi-Sigliz Model BUILDING THE EQUILIBRIUM DS MODEL I or II Puing hings ogeher impose symmery across all i 1 pzf k( k, n) = r & 1 pzf n(
More informationCalculus Tricks #1. So if you understand derivatives, you ll understand the course material much better. a few preliminaries exponents
Calculus Tricks # Eric Doviak Calculus is no a pre-requisie or his course. However, he oundaions o economics are based on calculus, so wha we ll be discussing over he course o he semeser is he inuiion
More informationPosition, Velocity, and Acceleration
rev 06/2017 Posiion, Velociy, and Acceleraion Equipmen Qy Equipmen Par Number 1 Dynamic Track ME-9493 1 Car ME-9454 1 Fan Accessory ME-9491 1 Moion Sensor II CI-6742A 1 Track Barrier Purpose The purpose
More informationModeling Great Depressions: The Depression in Finland in the 1990s
Federal Reserve Bank of Minneapolis Research Deparmen Saff Repor 40 November 2007 Modeling Grea Depressions: The Depression in Finland in he 990s Juan Carlos Conesa* Universia Auònoma de Barcelona Timohy
More informationACE 564 Spring Lecture 7. Extensions of The Multiple Regression Model: Dummy Independent Variables. by Professor Scott H.
ACE 564 Spring 2006 Lecure 7 Exensions of The Muliple Regression Model: Dumm Independen Variables b Professor Sco H. Irwin Readings: Griffihs, Hill and Judge. "Dumm Variables and Varing Coefficien Models
More informationMath 116 Second Midterm March 21, 2016
Mah 6 Second Miderm March, 06 UMID: EXAM SOLUTIONS Iniials: Insrucor: Secion:. Do no open his exam unil you are old o do so.. Do no wrie your name anywhere on his exam. 3. This exam has pages including
More informationDisplacement ( x) x x x
Kinemaics Kinemaics is he branch of mechanics ha describes he moion of objecs wihou necessarily discussing wha causes he moion. 1-Dimensional Kinemaics (or 1- Dimensional moion) refers o moion in a sraigh
More information= W e e ( ) ( ) = = ( a h) W e [ ] d. y + + <
W e e W e [ ] d ( ) + y + + < ( ) b a f f (a) ( a ) ( a ) p ( ) y ( ) ( a ) ( a ) ( + ) ( ( a ) ) ( ( a ) ) ( ) ( a ) ( a ) ( )+ by + Â p ( ) ( + a ) ( + ) + + ( ( a ) )+ ( ( a ) ) ( + ) + ( ) + ( a )
More informationSection 7.4 Modeling Changing Amplitude and Midline
488 Chaper 7 Secion 7.4 Modeling Changing Ampliude and Midline While sinusoidal funcions can model a variey of behaviors, i is ofen necessary o combine sinusoidal funcions wih linear and exponenial curves
More informationLong-run growth effects of taxation in a non-scale growth model with innovation
Deparmen of Economics Working Paper No. 0104 hp://www.fas.nus.edu.sg/ecs/pub/wp/wp0104.pdf Long-run growh effecs of axaion in a non-scale growh model wih innovaion (Forhcoming in he Economics Leer) Jinli
More informationIB 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 informationThe Aggregate Implications of Innovative Investment in the Garcia-Macia, Hsieh, and Klenow Model (preliminary and incomplete)
The Aggregae Implicaions of Innovaive Invesmen in he Garcia-Macia, Hsieh, and Klenow Model (preliminary and incomplee) Andy Akeson and Ariel Bursein December 2016 Absrac In his paper, we exend he model
More informationEconomic 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 informationSection 4.4 Logarithmic Properties
Secion. Logarihmic Properies 59 Secion. Logarihmic Properies In he previous secion, we derived wo imporan properies of arihms, which allowed us o solve some asic eponenial and arihmic equaions. Properies
More informationDecimal moved after first digit = 4.6 x Decimal moves five places left SCIENTIFIC > POSITIONAL. a) g) 5.31 x b) 0.
PHYSICS 20 UNIT 1 SCIENCE MATH WORKSHEET NAME: A. Sandard Noaion Very large and very small numbers are easily wrien using scienific (or sandard) noaion, raher han decimal (or posiional) noaion. Sandard
More informationSPH3U1 Lesson 03 Kinematics
SPH3U1 Lesson 03 Kinemaics GRAPHICAL ANALYSIS LEARNING GOALS Sudens will Learn how o read values, find slopes and calculae areas on graphs. Learn wha hese values mean on boh posiion-ime and velociy-ime
More informationINDEX. 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 informationSZG 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 informationThis document was generated at 5:08 PM, 09/24/13 Copyright 2013 Richard T. Woodward
his documen was generaed a 5:8 PM, 9/24/13 Copyrigh 213 Richard. Woodward 6. Lessons in he opimal use of naural resource from opimal conrol heory AGEC 637-213 I. he model of Hoelling 1931 Hoelling's 1931
More informationEstimation of Investment in Residential and Nonresidential Structures v2.0
Esimaion of Invesmen in Residenial and Nonresidenial Srucures v2.0 Ocober 2015 In he REMI model, he invesmen expendiures depends on he gap beween he opimal capial socks and he acual capial socks. The general
More information