課程資訊
課程名稱
異質性個體模型
Heterogeneous Agent Model 
開課學期
110-1 
授課對象
社會科學院  經濟學研究所  
授課教師
蔡宜展 
課號
ECON5172 
課程識別碼
323 U0950 
班次
 
學分
2.0 
全/半年
半年 
必/選修
選修 
上課時間
星期一3,4(10:20~12:10) 
上課地點
社科研607 
備註
限學士班三年級以上 或 限碩士班以上 或 限博士班
總人數上限:20人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1101ECON5172_ 
課程簡介影片
 
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課程概述

Modern macroeconomic theory relies on microfoundations: the behavior of various economic agents (consumers, firms, etc.) is described from first microeconomic principles, and markets are described explicitly, so that welfare analysis can be carried out using standard methods. However, the vast majority of models used in practice (e.g., at central banks) to study applied questions builds on the representative-agent framework, i.e., these models abstract from the reality of consumer heterogeneity. Similarly, they treat firms as largely identical. These assumptions were natural and attractive simplifications during the development of modern macroeconomic theory. A large number of theoretical and empirical investigations, however, have cast doubt on these simplifications and instead study the implications of heterogeneity among consumers (and firms) along with incom- plete insurance markets. The development of this alternative modelling framework began a quarter-century ago and has continued unabated through many refinements and extensions. The resulting models can now be implemented quantitatively and compared systematically to the representative-agent model. Several such comparisons in recent years argue, for example, that the recent financial crisis and ensuing Great Recession cannot be well understood without a heterogeneous-consumer perspective.
This course will review these theoretical developments, beginning with a core model and building up toward recent advanced models aimed at full-fledged quantitative analysis. Because quantitative heterogeneous-agent modelling requires some investment in computational methods, the course will also briefly describe such methods. Throughout this course, the participants will thus accumulate some basic theoretical knowledge as well as programming skills and then implement these in order to analyze some simple examples. This part of the course will require students to carry out some hands-on computation using Matlab code provided during the course. The course will also cover the empirical literature on inequality in income and wealth, partly to examine causes of inequality and partly in order to be able to calibrate, or estimate, key parameters in the heterogeneous-consumer model. This part of the course will also briefly discuss Thomas Piketty’s recent work on trends in, and causes behind, inequality.  

課程目標
The purpose of this course is twofold: first, to introduce students to computational tools for conducting numerical analysis of dynamic economic models; second, to introduce students to macroeconomic models with heterogeneous actors, which will serve as examples for the illustration of the computational tools.
 
課程要求
Students will be asked to complete a small number of problem sets (including some with exercises in computation), to present to the class a published article (or working paper) to be chosen in consultation with me, and to write a term paper. The term paper could be a step towards independent research on macroeconomics and inequality, or it could be a replication of the numerical analysis in an existing article or working paper.
 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
Introduction and facts on income and wealth heterogeneity.
i. ∗D ́ıaz-Gim ́enez et al, “Facts on the Distributions of Earnings, Income, and Wealth in the United States: 2007 Update,” Federal Reserve Bank of Min- neapolis Quarterly Review, 2011.
ii. “Cross-Sectional Facts for Macroeconomists,” Review of Economic Dynamics, Special issue, 2010.

Recursive competitive equilibrium, aggregation with complete markets.
i. Chatterjee, “Transitional Dynamics and the Distribution of Wealth in a Neo-
classical Growth Model,” Journal of Public Economics, 1994.


Bewley-Huggett-Aiyagari models: theory.
i. Bewley, “The Permanent Income Hypothesis: A Theoretical Formulation,”
Journal of Economic Theory, 1977.
ii. ∗Huggett,“TheRisk-FreeRateinHeterogeneous-AgentIncomplete-Insurance
Economies,” Journal of Economic Dynamics and Control, 1993.
iii. ∗Aiyagari, “Uninsured Idiosyncratic Risk and Aggregate Saving,” Quarterly
Journal of Economics, 1994.
iv. Krusell, Mukoyama, and Smith, “Asset Prices in a Huggett Economy,” Jour-
nal of Economic Theory, 2011.

Transitional dynamics and aggregate shocks: theory.
i. ∗Krusell and Smith, “Income and Wealth Heterogeneity in the Macroecon- omy,” Journal of Political Economy, 1998.
ii. Krusell and Smith, “Income and Wealth Heterogeneity, Portfolio Choice, and Equilibrium Asset Returns,” Macroeconomic Dynamics, 2007.
iii. Krusell and Smith, “Revisiting the Welfare Effects of Eliminating Business Cycles,” Review of Economic Dynamics, 2009.
 
參考書目
The lectures will be largely self-contained, but there are several good texts that provide useful complements to the material on numerical analysis taught in the lectures. Two especially valuable books are Numerical Recipes in Fortran 77: The Art of Scientific Computing, Second Edition (Volume 1 of Fortran Numerical Recipes), by William H. Press, Saul A. Teukolsky, William T. Vetterling, and Brian P. Flannery, and its companion, Numerical Recipes in Fortran 90: The Art of Parallel Scientific Computing, Second Edition (Volume 2 of Fortran Numerical Recipes), both available online (for free) at: apps.nrbook.com/fortran/index.html. (Note: The third edition of Numerical Recipes, with code available entirely in C++, is available online too—with a paid subscription—at www.nr.com. The third edition covers a few more topics than the second edition, but its text overlaps substantially with the second edition.)
Other useful books on numerical analysis of economic models include:
• Applied Computational Economics and Finance by Mario J. Miranda and Paul L. Fackler (MIT Press, 2002).
• Numerical Methods in Economics by Kenneth L. Judd (MIT Press, 1998).
• Dynamic Economics: Quantitative Methods and Applications by J ́erˆome Adda and
Russell Cooper (MIT Press, 2003).
• Computational Methods for the Study of Dynamic Economies, edited by Ramon Ma- rimon and Andrew Scott (Oxford University Press, 1999).
• Handbook of Computational Economics (Volume 1), edited by Hans M. Amman, David A. Kendrick, and John Rust (North-Holland, 1996).
• Dynamic General Equilibrium Modelling: Computational Methods and Applications, by Burkhard Heer and Alfred Maussner (Springer, 2005).
For the theory underlying macroeconomic models of inequality, students will find Chapters 8, 17, and 18 in Recursive Macroeconomic Theory, Third Edition by Lars Ljungqvist and Thomas J. Sargent (MIT Press, 2012) useful.  
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
作業 
30% 
 
2. 
課堂報告 
30% 
 
3. 
期末報告 
40% 
 
 
課程進度
週次
日期
單元主題
第1週
9/27  課程介紹

 
第2週
10/4  Introduction and facts on income and wealth heterogeneity.
1 三個常用資料庫介紹
2. 美國所得與財富分配現況
3. 複習不完全市場的相關設定 
第3週
10/11  補假 
第4週
10/18  1. 複習不完全市場的相關設定
2. 檢定不完全市場的設定
3. 借貸限制式 
第5週
10/26  Bewley-Huggett-Aiyagari models: theory. 
第8週
11/15  期中考週 
第16週
1/10  期末考週