We propose a new model-selection algorithm for Regression Discontinuity Design, Regression Kink Design, and related IV estimators. Candidate models are assessed within a 'placebo zone' of the running variable, where the true effects are known to be zero. The approach yields an optimal...

We investigate the relationship between the time politicians stay in office and the functioning of public procurement. To this purpose, we collect a data set on the Italian municipal governments and all the procurement auctions they administered between 2000 and 2005. Identification is achieved...

Economic theory predicts that military conscription is associated with static inefficiencies as well as with dynamic distortions of the accumulation of human and physical capital. Relative to an economy with an all-volunteer force, output levels and growth rates should be lower in countries that...

When investing in research and development (R&D), institutions must decide whether to take a top-down approach - soliciting a particular technology - or a bottom-up approach in which innovators suggest ideas. This paper examines a reform to the U.S. Air Force Small Business Innovation Research...

The possible negative consequences of Artificial Intelligence (AI) have given rise to calls for public policy to ensure that it is safe, and to prevent improper use and misuse. Human-centered AI (HCAI) draws on ethical principles and puts forth actionable guidelines in this regard. So far...

An arms race for an artificial general intelligence (AGI) would be detrimental for and even pose an existential threat to humanity if it results in an unfriendly AGI. In this paper an all-pay contest model is developed to derive implications for public policy to avoid such an outcome. It is...

Industry size standards that determine eligibility for small business subsidies have vastly increased over the past decade. We exploit quasi-random variation in the implementation of size standard increases to study the effects on small firms, subsidy allocation, and industry outcomes using...

Traditional instrumental variable estimators do not generally estimate effects for the treated population but for the unobserved population of compliers. They do identify effects for the treated when there is one-sided perfect non-compliance. However, this property is lost when covariates are...

We use panel data on Mexican manufacturing plants to study the connection between plants’ responses to changes in the economic environment and their contributions to aggregate productivity growth in the period following the implementation of the North American Trade Agreement (NAFTA). In all...

This paper develops IV estimators for unconditional quantile treatment effects (QTE) when the treatment selection is endogenous. In contrast to conditional QTE, i.e. the effects conditional on a large number of covariates X, the unconditional QTE summarize the effects of a treatment for the...