标题:Estimation of treatment effects in repeated public goods experiments
作者:Kong J.; Sul D.
作者机构:[Kong, J] School of Economics, Shandong UniversityShandong 250100, China;[ Sul, D] School of Economic, Political and Policy Sciences, University of T 更多
通讯作者:Sul, D(d.sul@utdallas.edu)
通讯作者地址:[Sul, D] School of Economic, Political and Policy Sciences, University of Texas at DallasUnited States;
来源:Econometrics
出版年:2018
卷:6
期:4
DOI:10.3390/econometrics6040043
关键词:Asymptotic treatment effects; Repeated public goods games; Trend regression
摘要:This paper provides a new statistical model for repeated voluntary contribution mechanism games. In a repeated public goods experiment, contributions in the first round are cross-sectionally independent simply because subjects are randomly selected. Meanwhile, contributions to a public account over rounds are serially and cross-sectionally correlated. Furthermore, the cross-sectional average of the contributions across subjects usually decreases over rounds. By considering this non-stationary initial condition—the initial contribution has a different distribution from the rest of the contributions—we model statistically the time varying patterns of the average contribution in repeated public goods experiments and then propose a simple but efficient method to test for treatment effects. The suggested method has good finite sample performance and works well in practice. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.
收录类别:SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058316572&doi=10.3390%2feconometrics6040043&partnerID=40&md5=891da6c4150f26f18d1b75753de888e1
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