Using a new panel data set on crime in medium to large U.S. cities over 1960-2010, we show that (1) year-over-year changes in police per capita are largely idiosyncratic to demographic factors, the local economy, city budgets, measures of social disorganization, and recent changes in crime rates, (2) year-over-year changes in police per capita are mismeasured, leading many estimates in the lite...

The Exporter Productivity Premium along the Productivity Distribution: First Evidence from a Quantile Regression Approach for Fixed Effects Panel Data Models An emerging literature on international activities of heterogeneous firms documents that exporting firms are more productive than firms that only sell on the national market. This positive exporter productivity premium shows up in a large ...

This paper focuses on developing models to study influential factors on the inflation rate for a panel of available countries in the World Bank data base during 2008-2012‎. ‎For this purpose‎, Random effect log-linear and Ordinal logistic models are used for the analysis of continuous and categorical inflation rate variables‎. ‎As the original inflation rate response to variables shows an appar...

In this paper we explore the application of structured additive distributional regression for the analysis of conditional income distributions in Germany following the reunification. Using a bootstrapped Kolmogorov-Smirnov test we find that conditional personal income distributions can generally be modelled using the three parameter Dagum distribution. Additionally our results hint at an even m...

We show that the quantile regression estimator is consistent and asymptotically normal when the error terms are correlated within clusters but independent across clusters. A consistent estimator of the covariance matrix of the asymptotic distribution is provided and we propose a specification test capable of detecting the presence of intra-cluster correlation. A small simulation study illustrat...

This paper establishes improved uniform convergence rates for series estimators. Series estimators are least-squares fits of a regression function where the number of regressors depends on sample size. I will specialize my results to the cases of polynomials and regression splines. These results improve upon results obtained earlier by Newey, yet fail to attain the optimal rates of convergence....

This note describes methods to test for distributional treatment effects under the conditional independence assumption. The differences between latent outcome distributions are judged by testing hypotheses of distributional equality and stochastic dominance. Furthermore, semiparametric efficient versions of the test statistics are given. The latter test statistics are double robust, i.e., they ...

Cet article étudie les dynamiques de la relation entre corpulence et salaires au Mexique, un pays émergent fortement touché par l’obésité. Dans cette étude empirique, nous utilisons données panel issues l’enquête ménage Mexican Family Life Survey (2002-2012). Premièrement, examinons façon descriptive corpulence-salaire son &#233...

Statistical disclosure limitation is widely used by data collecting institutions to provide safe individual data. However, the choice of the disclosure limitation method severely affects the quality of the data. In particular, estimators for nonlinear models based on data which are masked by standard disclosure limitation techniques such as blanking or noise addition lead to inconsistent parame...