We assess the role of measurement error in minimum wage evaluations when the treatment variable - the bite - is inferred from a survey wage distribution. We conduct Monte Carlo experiments on both simulated and empirical distributions of measurement error derived from a record linkage of survey...

The estimation of the economic return to education has perhaps been one of the predominant areas of analysis in applied economics for over 50 years. In this short note we consider some of the recent directions taken by the literature, and also some of the blockages faced by both science and...

We employ the original Card and Krueger (1994) and Neumark and Wascher (2000) data together with the changes-in-changes (CIC) estimator to re-examine the evidence of the effect of minimum wages on employment. Our study reconciles the controversial positive average employment effect reported by...

Some interventions or population attributes negate the effects of a treatment. This paper shows that incorporating these, what we call antidotal variables (AV), into a causal treatment effects analysis can with one cross-sectional regression identify the true causal effect, in addition to...

We study the estimation of heterogeneous effects of group-level policies, using quantile regression with interactive fixed effects. Our approach can identify distributional policy effects, particularly effects on inequality, under a type of difference-in-differences assumption. We provide...

This research aims to show the direct and indirect effects of size on the performance of the municipalities of Santa Catarina, due to the academic discussion about the size of the municipality affecting its performance. All municipalities in the state of Santa Catarina, from 2005 to 2016, were...

This note adds to the discussion originating from David Card and Alan B. Krueger (1994; CK) and David Neumark and William Wascher (2000; NW). It re-evaluates their results by using the semiparametric difference-in-differences estimator introduced by Alberto Abadie (2005). The re-evaluation suggests that...

We present a theorem helpful in estimating the mean and variance of a linear function with arbitrary multivariate randomness in its coefficients and variables. We derive a generalized decomposition result from two random linear functions in which the result can be applied to most models using...

The estimation of the economic return to education has perhaps been one of the predominant areas of analysis in applied economics for over 50 years. In this short note we consider some of the recent directions taken by the literature, and also some of the blockages faced by both science and...

We highlight the importance of randomisation bias, a situation where the process of participation in a social experiment has been affected by randomisation per se. We illustrate how this has happened in the case of the UK Employment Retention and Advancement (ERA) experiment, in which over one...