課程資訊
課程名稱
勞動經濟學專題: 實證方法與應用
Topics in Labor Economics: Empirical Methods and Applications 
開課學期
110-2 
授課對象
社會科學院  經濟學研究所  
授課教師
楊子霆 
課號
ECON5163 
課程識別碼
323EU4100 
班次
 
學分
2.0 
全/半年
半年 
必/選修
選修 
上課時間
星期一6,7(13:20~15:10) 
上課地點
社科405 
備註
本課程以英語授課。
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:30人 
課程網頁
https://causaldatalab.wordpress.com/2021/02/21/topics-in-labor-economics-empirical-methods-and-applications-spring-2021/ 
課程簡介影片
 
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課程概述

課程概述:
This course will survey empirical methods in labor economics. We will focus on recent advances in these methods as well as their empirical applications. The topics will include randomized (field) experiments, machine learning, matching method, instrumental variables, differences-in-differences method, synthetic controls method, regression discontinuity (kink) design, and GIS data. The applications in labor economics include labor market discrimination, life-cycle labor supply, social insurance, labor demand, and tax incidence. We will especially focus on the practical implementation of these methods and tips for data management by writing a term paper. After taking this course, students should be able to conduct empirical research independently.


課程簡介影片:
https://causaldatalab.wordpress.com/2021/02/21/topics-in-labor-economics-empirical-methods-and-applications-spring-2021/ 

課程目標
1. Be able to understand and use recent advances in labor economics and empirical methods

2. Be able to implement a good empirical research and evaluate an empirical studies

3. Have a good start of your research (thesis) 
課程要求
Two compulsory office hour (10%)
Three empirical/writing homework (30%)
Research progress presentation (10%)
Term paper presentation (10%)
Term paper (40%): milestones throughout the term
You will get extra 5 points in your final grade if you use Latex to type your paper 
預期每週課後學習時數
 
Office Hours
 
指定閱讀

 
參考書目
Pierre Cahuc, Stephane Carcillo and Andre Zylberberg, Labor Economics, Second Edition
Scott Cunningham (2020), Causal Inference: The Mixtape
Alberto Abadie1 and Matias D. Cattaneo (2018), Econometric Methods for Program Evaluation
Angrist and Pischke (2016), Mastering Metrics: The Path from Cause to Effect
Angrist and Pischke (2009), Mostly Harmless Econometrics
Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2017), An Introduction to Statistical Learning with Applications in R 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
no 
100% 
 
 
課程進度
週次
日期
單元主題