This review paper articulates the relationship between prediction market data and event studies, with a special focus on applications in political economy. Event studies have been used to address a variety of political economy questions ﾖ from the economic effects of party control of...

Starting from Professor Kornai´s assertion about the necessity to focus on the long-termperspectives of the transformation process, we analyze in this paper the Lisbon performanceof the countries of the European Union from such a long-term, structural perspective. Wepresent in a simple form the...

In an evaluation of a job-training program, the influence of the program on the individualearnings capacity is important, because it reflects the program effect on human capital.Estimating these effects is complicated because earnings are observed for employedindividuals only, and employment is...

Utilizing a nationally representative panel data of middle-aged and elder individuals from China, we assess the health impact of environmental policies, with special attention paid to gender disparities within their effects. This study utilizes thermal inversions to address the endogeneity of...

We use a regression discontinuity design and difference-in-differences estimators to estimate the impact of a one-shot hiring subsidy for low-educated unemployed youths during the Great Recession recovery in Belgium. The subsidy increases job-finding in the private sector by 10 percentage points...

Matching estimators are widely used in statistical data analysis. However, the distribution of matching estimators has been derived only for particular cases (Abadie and Imbens, 2006). This article establishes a martingale representation for matching estimators. This representation allows the...

Currently available asymptotic results in the literature suggest that matching estimators have higher variance than reweighting estimators. The extant literature comparing the finite sample properties of matching to specific reweighting estimators, however, has concluded that reweighting...

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...

This paper evaluates the impacts of a public program that introduced access to part-time childcare centers for children younger than four years of age in poor urban areas in Nicaragua. We explore the effects of this program on several measures of children's and parental outcomes. Our...

Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...