In this paper we reevaluate the returns to education based on the increase in the compulsory schooling age from 14 to 15 in the UK in 1947. We provide a Bayesian fuzzy regression discontinuity approach to infer the effect on earnings for a subset of subjects who turned 14 in a narrow window...

This paper develops a novel wild bootstrap procedure to construct robust bias-corrected (RBC) valid confidence intervals (CIs) for fuzzy regression discontinuity designs, providing an intuitive complement to existing RBC methods. The CIs generated by this procedure are valid under conditions...

We use a Regression Discontinuity Design (RDD) to evaluate the impact of cost-sharing on the use of health services. In the Italian health system, individuals reaching age 65 and earning low incomes are given total exemption from cost-sharing for health services consumption. Since the...

This work studies the impact of accounting for intrahousehold inequality in the distribution of resources for the measurement of poverty. For the estimation of intrahousehold distribution of resources the study relies on collective Engel curves. For the poverty analysis, we propose a fuzzy...

China experienced a 47% expansion in higher education enrolment between 1998 and 1999, and a six-fold expansion in the decade to 2008. In this paper, we explore a fuzzy discontinuity in the months of births induced by the expansion to study the returns to higher education in China. We find that...

We study the impact that participation in the Erasmus program produces on a number of labor market outcomes. By implementing a Fuzzy Regression Discontinuity Design, we show that participating in the international mobility program positively affects the probability of being employed three years...

This paper investigates the effects of managerial incentives on favoritism in promotion decisions. First, we theoretically show that favoritism leads to a lower quality of promotion decisions and in turn lower efforts. But the effect can be mitigated by pay-for-performance incentives for...

Researchers make hundreds of decisions about data collection, preparation, and analysis in their research. We use a many-analysts approach to measure the extent and impact of these decisions. Two published causal empirical results are replicated by seven replicators each. We find large...

This paper studies the impact of incentives on worker self-selection in a controlled laboratory experiment. In a first step we elicit subjects' productivity levels. Subjects then face the choice between a fixed or a variable payment scheme. Depending on the treatment, the variable payment is...

We examine whether biases identified in the behavioral-economics literature apply in decision-making for others (DMfO). We conduct a laboratory experiment in which subjects make decision on behalf of themselves and others in eighteen tasks that measure the following biases: present-bias in time...