In this paper, we study a general class of semiparametric optimization estimators of a vector-valued parameter. The criterion function depends on two types of infinite-dimensional nuisance parameters: a conditional expectation function that has been estimated nonparametrically using generated...

In this paper, we analyze the effect of the criminal justice system on juvenile recidivism. Using a unique sample of German inmates, we are able to disentangle the selection into criminal and juvenile law from the subsequent recidivism decision of the inmate. We base our identification strategy...

Recently, Nowotarski et al. (2013) have found that wavelet-based models for the long-term seasonal component (LTSC) are not only better in extracting the LTSC from a series of spot electricity prices but also significantly more accurate in terms of forecasting these prices up to a year ahead...

This paper examines the impacts of industrialization and urbanization on CO2 emissions in China using nonparametric additive regression models and provincial panel data from 1990 to 2011. The empirical results show that there is an inverted U-shaped nonlinear relationship between...

We provide two methods to compute the largest subset of a set of observations that is consistent with the Generalised Axiom of Revealed Preference. The algorithm provided by Houtman and Maks (1985) is not computationally feasible for larger data sets, while our methods are not limited in that...

We examine the (potentially nonlinear) relationship between inequality and growth using a method which does not require an a priori assumption on the underlying functional form. This approach reveals a plateau completely missed by commonly used (nonlinear) parametric approaches—the economy...

We estimate time series of option implied Probabilities of Default (PoDs) for 19 major US financial institutions from 2002 to 2012. These PoDs are estimated as mass points of entropy based risk neutral densities and subsequently corrected for maturity dependence. The ob- tained time series are...

We use the stochastic frontier approach to estimate the reservation wage across different city groups in Colombia. We use the information of GEIH from 2008-2019 of 23 urban cities. We find empirical evidence in favor of the search theory predictions that suggest a positive relationship between...

En este artículo se analiza la segmentación laboral en el mercado de trabajo de la Argentina. Un mercado laboral está segmentado si trabajadores comparables arrojan diferencias en resultados (ejemplo, salarios), si sus mecanismos de fijación de remuneraciones difieren y si hay barreras que...

We evaluate the effectiveness of a programme aimed at a group of unemployed in the capital of the South of Spain, within the framework of Active Labour Market Policies (ALMPS). We use high quality administrative data which justifies the application of propensity score matching methods. The...