Semester  Fall Semester, 2023  
Department  MA Program of Economics, First Year PhD Program of Economics, First Year MA Program of Economics, Second Year PhD Program of Economics, Second Year  
Course Name  Labor Economics (III): Empirical Methods and Applications  
Instructor  HUANG POCHUN  
Credit  3.0  
Course Type  Elective  
Prerequisite 
Course Objective 
Course Description 
Course Schedule 
Lecture 1: Introduction
Lecture 2: Counterfactual Framework and Randomized Controlled Trials
Lecture 3: Estimating Causal Effects Using Regression Adjustment
Lecture 4: Machine Learning for Applied Econometrics
Lecture 5: Topics on Labor Supply
MidTerm Presentations Lecture 6: Panel Data and DifferenceinDifferences
Lecture 7: Synthetic Control Method
Lecture 8: Topics on Labor Demand: Minimum Wage
Lecture 9: Instrumental Variables
Group Prsentations: present a paper from the Reading List (announced in class) Lecture 10: Topics on Labor Demand: Bartik Instruments
Lecture 11: Regression Discontinuity (Kink) Designs
Lecture 12: Sufficient Statistic Approach for Welfare Analysis
Lecture 13: Decomposition Methods in Economics (Optional)
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% Presentations and Paper Proposal: Each student is required to write a paper proposal. You are encouraged 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 Jeffrey Wooldridge (2015), Introductory Econometrics: A Modern Approach (6th edition), Cengage Scott Cunningham (2021), Causal Inferences: The Mixtape, Yale University Press

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