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ECON30009/90080 Macroeconomics
创建日期：2024-08-21 17:52:23
所属分类：经济Economics
标签： ECON30009
Macroeconomics

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ECON30009/90080 Macroeconomics


Assignment 1

(Due no later than August 23, Friday, 4pm)

Assignment Overview

 This assignment asks you to study the implications of the life-cycle model with growth and to document and explain updated facts on cross-country differences in long-run growth.

 Please type the  solutions to your assignment (e.g., in Word or LaTeX) and convert them to a PDF file for online submission through Gradescope on the LMS. Handwritten submissions can also be scanned and submitted through Gradescope as a PDF, but they must be legible for marking.

 Please note this is a group assignment with up to 4 students per group. You can form your groups directly in Gradescope. You don’t need to be in the same tutorial to form a group and you can submit your assignment individually if you prefer.

 All students within the same group will receive the same mark and no two groups may submit the same assignment.  You can collaborate with members of your own group (and all group members must provide input), but not with other groups. Please list all members of your group clearly on the first page of your submission and make sure you keep draft copies of your own working (for each member of the group).

 This assignment should reflect your own work and ideas (see also the section: Artificial Intelligence Software in the Preparation of Material for Assess- ment in the Subject Guide). AI assistance tools are not required for this assignment, but if you do use them it should be for editing and proofing of your work only. Any use of AI tools for editing purposes needs to be clearly acknowledged at the start of your assignment. Further information on the acceptable use of these tools can be found here.

Question 1: The Lifecycle Model and Convergence (25 marks in total)

Consider the life-cycle model discussed in Lectures 3-5, but now suppose that each young individual born in period t has the following preferences:

where cyt  is consumption when working in period t, cot+1  is consumption when retired in period t + 1, γ > 0, and ρ > 0 are positive parameters and exp(.) is the exponen- tial function.  As in the lectures, assume that individuals supply one unit of labour inelastically and receive real wage wt  per unit of labour supplied.

(a)  (4 marks) Show that these preferences are well behaved.  That is, the marginal utility of consuming in each period is positive, but diminishing.

(b)  (4 marks) Write down the individual lifetime budget constraint. Write down the individuals’ utility maximisation problem and use the first-order conditions of this problem to derive the individual Euler equation.  Explain the intuition underlying this equation and the role of the parameter ρ .

(c)  (4 marks) Now using your Euler equation and the lifetime budget constraint, solve for optimal consumption when working (cyt) and saving (at+1) as functions of the real wage (wt) and real net return to saving (rt+1).

(d)  (5 marks) Assuming firms use a Cobb-Douglas production function in labour and capital and operate under perfect competition (as we assumed in the lecture), derive an implicit transition equation for the aggregate capital-labour ratio over time in kt+1 and kt in this economy. By implicit,  here we mean  a transition equation of the form F(kt+1, kt ) = 0.

(e)  (4  marks) Use the Implicit Function Theorem to show under what conditions that kt+1  is increasing in kt , that is the transition equation is upward slowing with > 0.

(f)  (4 marks) Assuming or taking the limit as ρ approaches 1, graph your transition equation. Briefly discuss how your results compare those discussed in the lectures.

Question 2: Empirical Facts on LR Growth Across Countries

(25 marks in total)

Download the latest version of the Penn World Tables (version 10.01) from:

https://www.rug.nl/ggdc/productivity/pwt/ in either Excel or as a Stata Data file. In this question, feel free to use your favourite software or coding language to answer these questions (R, Python, Stata, Eviews, Excel etc.). However, please include your final answers in a PDF as part of your submission through Gradescope (via the LMS).

(a)  (5 marks) Compute the average long-run growth rate in output per capita (defined as the annual average (compound) growth rate in output per capita from 1960 to 2019) for all countries where data are available. For output, use the measure “redgpe” that denotes expenditure-side real GDP at chained PPPs (in millions 2017 $US) and for population use “pop” that denotes population (in millions).

(b)  (5 marks) Graph a histogram of the average annual per capita country growth rates across countries for 1960–2019 (using approximately 20 bins) and report the mean and standard deviation (again for all countries where data for 1960 and 2019 are available). How does the average long-run per capita growth across countries compare with that of the US as we discussed in the lecture?

(c)  (5 marks) Graph a scatter plot of the average annual growth rate in output per capita for each country (as computed in (a)) on the x-axis against the level of real output per capita in 1960 on the y-axis (again for all countries where data are available), together with a line of best fit. Using the information in your scatter plot together with a regression of average annual growth in output per capita from 1960 to 2019, on output per capita in 1960, is there evidence of convergence in the level of output per capita across countries?

(d)  (5  marks)  Now restrict the sample to current  OECD member countries only. Repeat the steps in parts (b) and (c). Explain any differences or similarities in your answers in terms of the mean and standard deviation of growth rates across the samples, and in the scatter plot and the growth regression.

(e)  (5 marks) Relate your findings to the simple life-cycle model of growth discussed in the lectures. In particular, briefly explain whether that model predicts conver- gence in output per capita across countries (or not) and discuss the factors that explain any similarities (or differences) between your empirical findings and the predictions of the simple life-cycle model.

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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 EARN 5 FE 825 IERG 5130 STAT 8178 EE161 ADS2 G54FUZ CS326 113B ECN 226 QBUS6860 ELEC3202 COMP9334 MGT11B MET CS 777 STA238 00099F Python SMM306 CMT206 EC116 SP MAST90084 CS480/680 BCPM0091 CMPT 300 ECON2209 FY20 STAT 432 CVEN9625 MATH1712 CMP9771M CMP3750M CIS 325 AI506 MAT344H1S MGT7180 PSTAT 160B CSYS5010 1D STAT 453/558 ME152B STA304H1F CSCI-128 ME428 CO3002 FINE 7640 COMP3234 ECSE 223 EE497 – 3D MATH5905 ECS648U ENG5009 MATH10242 EC665 A CPI221 ISOM5220 MACE40402 MGT B456F COMP9315 AFM 113 STAT 778 CS 564 MA231 CS 230 CS 124 COMP5511 CSC317 ITEC1010 ELEC207 INFT 3019 7CCMFM06 EE 161 5G ECLT5810 MATH 7349 CS526 O2 COMP90054 ELE00063M ACCT5034 ARC1015 CSCI 40 CSCI E40 FIN 524B CS 462 389COM CMT309 MFIN703 COMP4250 STA304 STA304H1S STA 1003 FIN 448 BUFN 732 CS520 CVEN3701 ECMT6006 PHAS0100 CSIT314 MDIA 5028 CSCI 2134 MAT 451 CMPT 459 STAT 457 INFO20003 COMP4141 IELE8066 F540 ECM9 CSE 6321 FIN 430 MATH3911 BFC5916 COMP1011 EEE 6209 STATS 240 CW3 COMP206 COMP1003 4331W ISE 530 CMPT 295 MATH 239 QF5203 INFR08010 IT114105 FIT2093 ECON3124 ECON1195 MATH 337 STAT 3006 COMP202 COMP3130 MATH3609 COMP 250 CS6140 IEEE ELE00041I FIN40090 CIV 5899 MATH3066 IGNMENT MATH 2009 STAT3405 HIST 101 MATH 3281 CEGE0042 ICT532 LAB 7 LAB 5 MCO455 CSIT214 Q4 IFB104 A1 ECO220Y5Y DA5020 CMPSC473 FIN9007 DSCI553 MSCI534 COMP3308 CSE-112 CMPT 310 EE104 F 2C P20 ALY2010 BUSM060 STA258 ECO00030M R BIOSTAT 274 COS6012-B FIT3155 CMPUT 340 EC421 INFS4205 ECOM135 NATS 1740 COMP809 MBE 6005 STA465 CSSE2310 CIVL2700 DATA4700 CMPSC 473 ISE 529 CS5044 MAST30020 COMP2207 ENGG1001 COMP0046 FIT3165 STAT GR5241 MECH0007 vATHK1001 ANALYTIC ATHK1001 MATH352001 HW3 S1 BMAN 24662 COMP 636 Stat-461 STAT 302 STAT 2132 STAR534 ENG4137 CMP3752M CS3103 BISM3222 STA 135 ME155A IIMT3601 ECON3371 ECON 3371 HW4 FINA 5840 DT211C CTEC3902 MAT005 MATH2148 S261F Econ 332 MATH3734 MIS41270 7CCMFM13 SYST 664 CIS434 CENG10014 MT4111 MT4527 ECMM424 CMT219 Math 136 MATH 3120 COMP10002 MAST20009 MATH0058 BEEM117 ISYE 6420 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