Experimental Economics II: Replications (實驗經濟學二：重複實驗)

NTU (Spring 2026)

Time: Friday, 2:20-4:20pm, at Social Sciences 608 (社科608)

Office Hour: Friday 4:20-5pm after class or by Email appointment

Course Syllabus

Required and Recommended Reading:  

    1. Moffatt (2019), Experimetrics Lecture Notes for NTU mini-course with sample code and data. (Emt)
    2. Gilad Feldman's Pre-registered Replication website and Open Science Framework.
    3. Gentzkow and Shapiro (2014), Code and Data: A Practitioner’s Guide, mimeo.
    4. Moffatt (2016), Experimetrics: Econometrics for Experimental Economics, Palgrave.
    5. Instructions for Computational Reproducibility and Replication, Institute for Replication.
    6. Tutorial Videos for Online Experiments using Qualtrics and oTree, and STATA tutorial (on NTU COOL).

Pre-Requisites:

You need to have basic knowledge on experimental economics, such as those taught in Experimental Economics I: Behavioral Game Theory.  If you have not taken that course, you will have to either take the online version (on Coursera and NTU OCW), or read Camerer (2003), Behavioral Game Theory, Princeton University Press (BGT). 

     About Oral Presentation and Feedback:
               Chinese Recipe to Prepare a 20-minute Presentation: 關於 presentation 的一些想法
               Guidelines to Give Feedback: Oral Presentation Evaluation Criteria and Checklist (original link)
               Tips and Videos:
                    Data Visualization: 1812 (originally by Minard); 10 most common presentation mistakes
                    Life After Death by PowerPoint (Chinese caption; 2010 update)
                    Principles of economics, translated  (Transcription)  

Class Topics:

 o. [2/27] National Holiday: Watch Basic Principles of Experimental Design (OCW) (BGT, A1.2)

 1. [3/ 6 ] Introduction to Replications and Computation Reproduction (old) (Lin et al., NHB 2020)
                  Introduction to Experimetrics and Power Analysis (old) (EMT 1.1-1.3)

 2. [3/13] Power Analysis with Real Examples and Monte Carlo (old)  (EMT 1.4, 2.1-2.3)
         

 3. [3/20] Estimating Risk Aversion: Structure Models of Binary Lottery (old) (EMT 3.1,3.3-10)
                  Estimating Risk Aversion: Analyzing Ultimatum Game Data (old) (EMT 3.2,3.11)
  

 4. [3/27] Estimating Social Preferences (old) (EMT 4.1-4.3)

 o. [4/ 3 ] National Holiday Long Weekend

 5. [4/10] Experimental Software and Pre-Analysis Plan (by TA at TASSEL)
                  Pre-Analysis Plan Template: PDF, tex (See J-PAL page for more recommendations)

 6. [4/17] Finite Mixture Models: Level-k Model, Cognitive Hierarchy and Social Preferences for Public Goods (old) (EMT 5.1-5.5 and Experimetrics 17.3)

 7. [4/24] Computational Reproduction (by TA)
                  Andersen et al. (AER 2011) (via Jupyter Notebook in Python)
                accardo and Serra-Garcia (AER 2023)ccardo and Serra-Garcia (AER 2023) (in STATA)
                eplication Game Template and Instructionss(in LaTeX and MS Word))
                He, Analytis and Bhatia (MS 2022) (in Matlab)
 

 o. [5/ 1 ] Labor Day Holiday (Midterm Pre-analysis Plan Submission)

 8. [5/ 8 ] Estimating Repeated Game Play and Quantal Response Equilibrium (old) (Experimetrics 16.1-6)

 9. [5/15] Estimating Reinforcement, Belief and EWA Learning (old) (Experimetrics 18.1-18.8)
                Learning (old) (OCW) (BGT, Ch.6; HEE2, Ch.10; Knoepfle-2009; Chen-2020)

10.[5/22] Final Replication Report Presentation
                Coordination (old) (OCW) (BGT, Ch.7)

11.[5/29] Final Replication Report Presentation
                Signaling and Reputation (old) (OCW) (BGT, Ch.8)
 

12.[6/ 5 ] Final Replication Report Due