Mini-Course Module for Experimetrics (微課程模組：實驗計量經濟學)

NTU (Online Module)

Textbooks:

Moffatt (2019), Experimetrics Lecture Notes for NTU Mini-Course. (EMT)

Moffatt (2016), Experimetrics: Econometrics for Experimental Economics, Palgrave. (Experimetrics)

Online Course Material:

1. Code and Data for Moffatt (2019)

2. Online Resources for Moffatt (2016)

3. Replication Report Template in LaTeX and MS Word

4. Replication Tutorial: Andersen et al. (AER 2011) in STATA (Jupyter Notebook in Python)

Course Topics:

1. Introduction to Experimetrics (Ch.1)

  a. Experimetrics and Power Analysis (EMT 1.1-1.3)

  b. Power Analysis with Real Examples (EMT 1.4)

2. Power Analysis with Monte Carlo (old) (Ch.2; EMT Ch.2; 2.1-2.3)

3. Estimating Risky Choices (Ch.3)

  a. Estimating Binary Lottery Choice (old) (EMT 3.1,3.3-3.10)

  b. Analyzing Ultimatum Game Data (old) (EMT 3.2,3.11)

4. Estimating Social Preferences (Ch.4)

  a. Dictator Game with Prices (old) (EMT 4.1-4.2)

  b. Estimating Discrete Choice Models (old) (EMT 4.3)

5. Finite Mixture Models (Ch.5; 17.3)

  a. Estimating Level-k Models (old) (EMT 5.1-5.4)

  b. Cognitive Hierarchy (old) (Experimetrics 17.3)

  c. Social Preferences for Public Goods (old) (EMT 5.5)

6. Estimating Quantal Response Equilibrium (Ch.16)

  a. Repeated Game Play (old) (Experimetrics 16.1-16.3)

  b. Estimating QRE (old) (Experimetrics 16.4-16.6)

7. Estimating Learning Models (Ch.18)

  a. Reinforcement and Belief Learning (old) (Experimetrics 18.1-18.6)

  b. Estimating EWA Learning (old) (Experimetrics 18.7-18.8)

Replication Exercises:

  a. Replication Tutorial: Andersen et al. (AER 2011) in STATA (Jupyter Notebook in Python)
  b. Individual Analysis: Costa-Gomes and Crawford (AER 2006) in STATA and MATLAB
  c. Lin et al. (NHB 2020) in R
  d. Mohlin, Ostling and Wang (GEB 2020) in STATA and MATLAB
  e. Other working papers