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 PO-CHUN | ||
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
Mid-Term Presentations Lecture 6: Panel Data and Difference-in-Differences
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
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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.
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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 Jeffrey Wooldridge (2015), Introductory Econometrics: A Modern Approach (6th edition), Cengage Scott Cunningham (2021), Causal Inferences: The Mixtape, Yale University Press
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Urls about Course |
You can download course materials at https://wm5.nccu.edu.tw/mooc/index.php |
Attachment |