課程大綱

課程資訊

課程名稱

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

開課學期

112-1

授課對象

社會科學院經濟學研究所

授課教師

王道一

課號

ECON7224

課程識別碼

323EM5260

班次

學分

3.0

全/半年

半年

必/選修

選修

上課時間

星期二2,3,4(9:10~12:10)

上課地點

社科研608

備註

本課程以英語授課。建議先修課程：個體經濟理論一B或實驗經濟學一：行為賽局論。
限碩士班以上或限博士班
總人數上限：32人
外系人數限制：4人

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課程概述

This is an English capstone course of experimental economics at the upper division and graduate level, focusing on replications. The purpose is to computationally replicate several assigned experimental papers, and choose a particular paper to propose a replication experiment. You may submit replication reports in groups of two, but are required to submit the final experimental proposal and pre-analysis plan individually.

課程目標

Specific course goals include:
1. Present Contemporary Research: Students are expected to read journal articles or working papers, evaluate their quality, present them, and provide feedback to others.
2. Complete Replication Report: Students are expected to run the author-provided code/data to computationally replicate journal articles and write replication reports.
3. Design Replication Experiment: Students are expected to design a replication experiment and propose a pre-analysis plan. To conduct the experiment, the pre-analysis plan has to be pre-registered, say on Open Science Framework.

課程要求

This is a capstone course in economics, which assumes you know everything taught in the required courses for an economics major. You will also need basic knowledge of Experimental Economics I: Behavioral Game Theory. If you have not taken that course, you will have to take the online version (on Coursera) concurrently, learn it yourself via NTU OCW or read Camerer (2003), Behavioral Game Theory, Princeton University Press. Graduate econometrics is highly recommended though knowledge of STATA/Matlab/R is sufficient, as data analysis is central to computational reproducibility.

預期每週課後學習時數

Office Hours

每週二 12:10~13:00 備註： Or by email appointment

指定閱讀

1. Moffatt (2019), Experimetrics Lecture Notes for NTU mini-course. (Emt)
2. Moffatt (2016), Experimetrics: Econometrics for Experimental Economics, Palgrave.
3. Instructions for Computational Reproducibility and Replication, Institute for Replication.
Papers to Replicate:
1. Andersen, Ertaç, Gneezy, Hoffman and List (2011) “Stakes Matter in Ultimatum Games,” American Economic Review, 101(7), 3427-3439.
2. Saccardo and Serra-Garcia (2023), “Enabling or Limiting Cognitive Flexibility? Evidence of Demand for Moral Commitment,” American Economic Review, 113(2), 396-429.
3. He, Analytis and Bhatia (2022), “The Wisdom of Model Crowds,” Management Science, 68(5), 3635-3659.
4. Lin, Brown, Imai, Wang, Wang and Camerer (2020), “Evidence of General Economic Principles of Bargaining and Trade from 2,000 Classroom Experiments,” Nature Human Behaviour, 4(9), 917-927.

參考書目

1. Gilad Feldman’s replications website: http://mgto.org/pre-registered-replications/
2. Gentzkow and Shapiro (2014), “Code and Data: A Practioneer’s Guide,” mimeo.
3. Camerer (2003), Behavioral Game Theory, Princeton University Press.

評量方式
(僅供參考)

No.	項目	百分比	說明
1.	Presentation	30%	Present papers you replicate and Experimetrics Lecture Notes.
2.	Replication Reports	40%	Conduct four computational replications for assigned papers (R1, R2, R3, R4 due on 9/25, 10/16, 11/13, 12/4, or on week 4, 7, 11, 14).
3.	Proposal and Pre-Analysis Plan	30%	Proposal for Experimental Replication and Pre-Analysis Plan due 12/19.

針對學生困難提供學生調整方式

上課形式	以錄影輔助
作業繳交方式	延長作業繳交期限
考試形式
其他	由師生雙方議定

課程進度

週次	日期	單元主題
第1週	9/5	Introduction to Replication (Lin et al., 2020) and Power Analysis (Emt 1.1-1.4)
第2週	9/12	Replication 1: Andersen et al. (2011) and its TA Discussion (Emt 2.1-2.3)
第3週	9/19	R1 Presentation; Replication 2: Saccardo and Serra-Garcia (2023) (Emt 3.1)
第4週	9/26	TA Discussion of Replication 2 (R1 due 9/25)
第5週	10/3	R2 Presentation (Due 10/16) (Emt 3.2-3.3)
第6週	10/10	National Holiday (No Class)
第7週	10/17	Replication 3: He, Analytis and Bhatia (2022)(R2 due 10/16) (Emt 3.4-3.9)
第8週	10/24	(Midterm Week) TA Discussion of Replication 3
第9週	10/31	Pre-Analysis Plan/Basic Principles of Experimental Design (Emt 3.10-3.11)
第10週	11/7	R3 Presentation (Due 11/13) (Emt 4.1-4.2)
第11週	11/14	Replication 4: Lin et al. (2020) (R3 Due 11/13) (Emt 4.3)
第12週	11/21	TA Discussion of Replication 4 (Emt 5.1-5.4)
第13週	11/28	R4 Presentation (Due 12/4) (Optional: Emt 16.1-16.3)
第14週	12/5	Final Proposal Presentation (R4 due 12/4) (Optional: Emt 16.4-16.6)
第15週	12/12	Final Pre-Analysis Plan Presentation (Due 12/19)