Quantile regression and quantile treatment effect methods are powerful econometric tools for considering economic impacts of events or variables of interest beyond the mean. The use of quantile methods allows for an examination of impacts of some independent variable over the entire distribution...

This paper investigates the effects of the staggered roll-out of a pollution reduction programme introduced in the UK in the 1950s. The policy allowed local authorities to introduce so-called "Smoke Control Areas" (SCAs) which banned smoke emissions. We start by digitizing historical pollution...

This paper proposes a new method to estimate quantile regressions with multiple fixed effects. The method, which expands on the strategy proposed by Machado and Santos Silva (2019), allows for the inclusion of multiple fixed effects and provides various alternatives for estimating standard...

Spatial unit roots can lead to spurious regression results. We present a brief overview of the methods developed in Müller and Watson (2024) to test for and correct for spatial unit roots. We also introduce a suite of Stata commands (-spur-) implementing these techniques. Our commands exactly...

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...

This paper assesses the dynamics of treatment effects arising from variation in the durationof training. We use German administrative data that have the extraordinary feature that theamount of treatment varies continuously from 10 days to 395 days (i.e. 13 months). Thisfeature allows us to...

We consider the identification of and inference on a partially linear model, when the outcome of interest and some of the covariates are observed in two different datasets that cannot be linked. This type of data combination problem arises very frequently in empirical microeconomics. Using...

In this paper we study the finite sample and asymptotic properties of various weighting estimators of the local average treatment effect (LATE), several of which are based on Abadie (2003)'s kappa theorem. Our framework presumes a binary endogenous explanatory variable ("treatment") and a binary...

Travel restrictions are often imposed to limit the spread of infectious diseases. As uniform restrictions can be inefficient and incur unnecessarily high costs, this paper examines the optimal design of restrictions that target specific travel routes. We propose a model with trade-offs between...

Grade-based performance measures are often relied on when considering the efficacy of education-related policy interventions. Yet, it is common for measures of student performance to be subjected to curves and discretized through letter-grade transformations. We show how transformed grades...