Data envelopment analysis or DEA is a standard methodology for assessing technical efficiency. In many DEA applications, e.g. in the case of schools or hospitals, the issue arises of calculating efficiency in the presence of nondiscretionary/environmental inputs. We propose a three-stage DEA...

This paper develops and applies a method for estimating workers' marginal willingess to pay for job attributes when workers' job choices are characterized by imperfect information and labor market search. As an application, this paper analyzes the job durations of white males using data from the...

Charters represent an expansion of public school choice, offering free, publicly funded educational alternatives to traditional public schools. One relatively unexplored research question concerning charter schools asks whether charter schools are more efficient suppliers of educational services...

We report the results of a laboratory experiment on crowd-out in a voluntary contribution mechanism public good game. In our setting, a standard argument states that a tax should not be effective in raising contributions, because agents respond by reducing voluntary contributions by the amount...

We experimentally study contributing behavior to a threshold public good under simultaneous and sequential voluntary contribution mechanisms and investigate how refund policies interact with the mechanism. We find that, for a given refund rule, efficiency is greater under a sequential...