%0 Journal Article
%T Estimation of Treatment Effects in Repeated Public Goods Experiments
%A Donggyu Sul
%A Jianning Kong
%J -
%D 2018
%R https://doi.org/10.3390/econometrics6040043
%X Abstract 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¡ªthe initial contribution has a different distribution from the rest of the contributions¡ªwe 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. View Full-Tex
%K repeated public goods games
%K asymptotic treatment effects
%K trend regression
%U https://www.mdpi.com/2225-1146/6/4/43