ECON 626: Empirical Microeconomics, University of Maryland, Fall 2019

Instructors: Pamela Jakiela [Email | Webpage] ; Owen Ozier [Email | Webpage]
TA: Ming Fang [Email]
Syllabus: ECON-626 2019 Syllabus (pdf)
TA office hours: Every Wednesday, 10:30AM-12:30PM, location TBD
Stata Review: TBD
Other exam review: TBD
Midterm Friday Oct 18th, IN CLASS
Final Friday Dec 6th, IN CLASS

Lectures

Lecture 1 - Fri Aug 30 Rubin Causal Model, Experimental Ideal
Lecture 2 - Fri Sep 6 Regression, Data Generating Processes
Lecture 3 - Fri Sep 13 Difference-in-Differences
Lecture 4 - Fri Sep 20 Instrumental Variables
No class - Fri Sep 27
Lecture 5 - Fri Oct 4 Regression Discontinuity
Lecture 6 - Fri Oct 11 Selection on Observables
Midterm exam - Fri Oct 18
Lecture 7 - Fri Oct 25 Power and Clustering, Randomization in Practice
Lecture 8 - Fri Nov 1 Randomization Inference, Wild Cluster Bootstrap
Lecture 9 - Fri Nov 8 Multiple Hypothesis Testing, Attrition, Lee Bounds, Manski Bounds
Lecture 10 - Fri Nov 15 Bad Controls, Causal Mediation
Lecture 11 - Fri Nov 22 Censoring, Maximum Likelihood, Discrete Choice, Stata and MATLAB
Thanksgiving - no class - Fri Nov 29
Final exam - Fri Dec 6

Problem sets (6)

Supplementary material

Ronald Fisher's 1935 Design of Experiments (1971 reprint), chapters 1 and 2   (discussed in Lecture 1)      
Supplementary "discussion" of instrumental variables (and economics graduate work more broadly)   (discussed in Lecture 4)      
Ozier (2015) paper on secondary schooling in Kenya   (discussed in Lecture 5)      
Evans (2013) "Regression Discontinuity Porn"   (relevant to Lecture 5)      
Evans and Popova (2016) "What Really Works to Improve Learning in Developing Countries?
An Analysis of Divergent Findings in Systematic Reviews"
  (relevant to Lecture 7)      
Cochrane Handbook   (relevant to Lecture 7)      
Blog post on statistical refinements to pre-analysis plans (Anderson and Magruder, Fafchamps and Labonne)   (relevant to Lecture 9)      
Jesse Shapiro on how to present applied micro work   (relevant more broadly)