Semester  Fall Semester, 2019  
Department  The International Master Program of Applied Economics and Social Development (IMES) , First Year The International Master Program of Applied Economics and Social Development (IMES) , Second Year  
Course Name  Labor Economics (III)  
Instructor  HUANG POCHUN  
Credit  3.0  
Course Type  Elective  
Prerequisite 
Course Objective 
Course Description 
Course Schedule 
Lecture 1: Introduction (9/20)
Lecture 2: Review for Linear Regression (9/27)
Lecture 3: Topics on Labor Supply: Static Labor Supply (10/4)
Problem Set 1 Lecture 4: Topics on Labor Supply: Intertemporal Labor Supply (10/18)
Lecture 5: Panel Data and DifferenceinDifferences (10/25)
MidTerm Presentations (11/1) Lecture 6: Synthetic Control and Standard Errors (11/8)
Lecture 7: Topics on Labor Demand: Minimum Wage (11/15)
Problem Set 2 Lecture 8: Instrumental Variables (11/22)
Lecture 9: Topics on Labor Demand: Bartik Instruments (11/29)
Lecture 10: Regression Discontinuity (Kink) Designs I (12/7)
Lecture 11: Regression Discontinuity (Kink) Design II (12/14)
Problem Set 3 Lecture 12: Decomposition Methods in Economics (12/21)
Lecture 13: Sufficient Statistic Approach for Welfare Analysis (12/28)
Problem Set 4 Lecture 14: Sufficient Statistic Approach for Welfare Analysis
Final Presentations (1/3)

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 (6^{th} edition) Recommended Text for Econometrics: Joshua D. Angrist and JÖrnSteffen Pischke (2009), Mostly Harmless Econometrics, Princeton University Press Joshua D. Angrist and JÖrnSteffen Pischke (2016), Mastering 'Metrics, Princeton University Press

Urls about Course 
You can download course materials at https://wm5.nccu.edu.tw/mooc/index.php or https://docs.google.com/document/d/1uTGnNDN5weNdaQNrUl2WkjhvOn598SU2j0_mTeJnYkg/edit 
Attachment 