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
通讯作者地址：[Sul, D] School of Economic, Political and Policy Sciences, University of Texas at DallasUnited States;
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.