SemesterFall Semester, 2019
DepartmentMA Program of Economics, First Year PhD Program of Economics, First Year MA Program of Economics, Second Year PhD Program of Economics, Second Year
Course NameLabor Economics (III)
InstructorHUANG PO-CHUN
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule

Lecture 1: Introduction 





  •     Meanings of Identification




  •     Reduced Form vs. Structural Model Identification





Lecture 2: Review for Linear Regression             





  •     Omitted Variable Bias




  •     Practical Regression Hints




  •     Krueger (1993) + DiNardo and Pischke (1997)





Lecture 3: Topics on Labor Supply: Static Labor Sypply 





  •     Substitution and Income Effects of Labor Supply




  •     Labor Supply Effect of Unemployment Insurance (UI)




  •     Welfare and EITC 





Problem Set 1



Lecture 4: Topics on Labor Supply: Intertemporal Labor Supply 





  •     Problem Set 1 




  •     Life-Cycle Labor Supply




  •     Elderly Labor Supply and Retirement Benefits





Lecture 5: Panel Data and Difference-in-Differences 





  •     Fixed Effect Estimation




  •     Difference-in-Differences




  •     Chu (2015) and Dickert-Conlin, Elder, and Moore (2011)





Lecture 6: Synthetic Control and Standard Errors





  •     Synthetic Control Method




  •     Standard Errors: How Should We View Uncertainty in DD Settings?





Mid-Term Presentations 



Lecture 7: Topics on Labor Demand and Minimum Wage 





  •     Substitution and Scale Effects of Labor Demand 




  •     Aaronson, French, Sorkin, and To (2018) 




  •     Meer and West (2015)





Problem Set 2



Lecture 8: Instrumental Variables 





  •     IV and Simultaneous Equations           




  •     IV and LATE




  •     Angrist and Evans (1998): Labor Supply and Fertility





Lecture 9: Topics on Labor Demand 





  •     Bartik Instrument 




  •     Sorkin (2019)





Lecture 10: Regression Discontinuity (Kink) Designs I 





  •     Problem Set 1




  •     Identifying Assumptions and Estimation




  •     IV and RD





Lecture 11: Regression Discontinuity (Kink) Design II 





  •     Extrapolation of RD




  •     Regression Kink Design




  •     Unemployment Insurance





Problem Set 3



Lecture 12: Decomposition Methods in Economics 





  •     Oaxaca-Blinder Decomposition




  •     DFL Reweighting Method




  •     Wage Density Decomposition





Lecture 13: Sufficient Statistic Approach for Welfare Analysis 





  •     Basic Search Model




  •     Optimal UI: Baily-Chetty Formula




  •     Consumption Based Approach (Gruber 1997)





Problem Set 4



Lecture 14: Sufficient Statistic Approach for Welfare Analysis 





  •     Moral Hazard and Liquidity (Chetty 2008)




  •     Reservation Wage Approach (Shimer and Werning 2007)




  •     Macroeconomics Effects of UI (Lalive et. al 2015)





Final Presentations 


Teaching Methods
Teaching Assistant
Requirement/Grading

1. 50% Problem Sets 



We will do four problem sets during the course of semester. The problem set questions will include both theoretical questions and statistical analysis of data, which will involve the software package STATA.



2. 50% Paper Proposal:



Each student is required to write a paper proposal. You should arrange to meet with me to talk about a topic for your paper before midterm presentations. Final proposals are due on January 20.



 


Textbook & Reference

Recommended Text for Labor Economics



George Borjas, Labor Economics (6th edition)



Recommended Text for Econometrics:



Joshua D. Angrist and JÖrn-Steffen Pischke (2009), Mostly Harmless Econometrics, Princeton University Press 



Joshua D. Angrist and JÖrn-Steffen Pischke (2016), Mastering 'Metrics, Princeton University Press 



 



 


Urls about Course
You can download course materials at https://wm5.nccu.edu.tw/mooc/index.php
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