Public goods provision often involves groups of contributors repeatedly interacting with administrators who can extract rents from the pool of contributions. We suggest a novel identification approach that exploits the sequential ordering of decisions in a panel vector autoregressive model to...

This paper studies public goods provision in an experiment in which contributors repeatedly interact with rent-extracting administrators. Our main result is that the presence of an administrator reduces contributions but only because rent extraction lowers the MPCR. Analysing the dynamic...

Public goods provision often involves groups of contributors repeatedly interacting with administrators who can extract rents from the pool of contributions. We suggest a novel identification approach that exploits the sequential ordering of decisions in a panel vector autoregressive model to...

This paper studies public goods provision in an experiment in which contributors repeatedly interact with rent-extracting administrators. Our main result is that the presence of an administrator reduces contributions but only because rent extraction lowers the MPCR. Analysing the dynamic...

Public goods provision often involves groups of contributors repeatedly interacting with administrators who can extract rents from the pool of contributions. We suggest a novel identification approach that exploits the sequential ordering of decisions in a panel vector autoregressive model to...

This paper studies public goods provision in an experiment in which contributors repeatedly interact with rent-extracting administrators. Our main result is that the presence of an administrator reduces contributions but only because rent extraction lowers the MPCR. Analysing the dynamic...

This paper studies public goods provision in an experiment in which contributors repeatedly interact with rent-extracting administrators. Our main result is that the presence of an administrator reduces contributions but only because rent extraction lowers the MPCR. Analysing the dynamic...