Employing the 'small-bandwidth' asymptotic framework of Cattaneo, Crump, and Jansson (2009), this paper studies the properties of several bootstrap-based inference procedures associated with a kernel-based estimator of density-weighted average derivatives proposed by Powell, Stock, and Stoker...

In 2005, the Indian Government launched a conditional cash-incentive program to encourage institutional delivery. This paper studies the effects of the program on neonatal mortality using district-level household survey data. We model mortality using survival analysis, paying special attention...

The efficiency wage hypothesis is tested by using one of the recently developed methods to measure technical efficiency. We use panel data on 40 Turkish cement plants for the period 1980-1995. The predictions of the efficiency wage hypothesis are tested in two ways: estimation of wage augmented...

Numerous heavy-tailed distributions are used for modeling financial data and in problems related to the modeling of economics processes. These distributions have higher peaks and heavier tails than normal distributions. Moreover, in some situations, we cannot observe complete information about...

There is a widespread view that political criteria have received less emphasis in aid allocation since the end of the cold war, with a greater share of aid subsequently being based on developmental criteria. An observed increase in aid effectiveness is attributed to this shift. A reasonably...

This paper studies semiparametric versions of the classical sample selection model (Heckman (1976, 1979)) without exclusion restrictions. We extend the analysis in Honor'e and Hu (2020) by allowing for parameter heterogeneity and derive implications of this model. We also consider models that...

We present a semiparametric method to estimate group-level dispersion, which is particularly effective in the presence of censored data. We apply this procedure to obtain measures of occupation-specific wage dispersion using top-coded administrative wage data from the German IAB Employment...

We propose a new estimator for nonparametric regression based on local likelihood estimation using an estimated error score function obtained from the residuals of a preliminary nonparametric regression. We show that our estimator is asymptotically equivalent to the infeasible local maximum...

We present a semiparametric method to estimate group-level dispersion, which is particularly effective in the presence of censored data. We apply this procedure to obtain measures of occupation-specific wage dispersion using top-coded administrative wage data from the German IAB Employment...

Der Beitrag gibt einen Überblick über neuere Entwicklungen bei Schätzmethoden, Instrumentalvariablenansätzen, Paneldatenmodellen sowie nicht- und semiparametrischen Modellen für Mikrodaten, ergänzt um einige Testverfahren aus diesen Bereichen. Besondere Aufmerksamkeit wird auf Probleme mit...