Usage of Monte Carlo simulation for pricing requires a well defined and accurate market implied distribution of risk factors. Overlay, on top of these simulated risk factors, one can also generate conditional prices based on the set of underlying risk factors at future time horizons. The ability...

In this paper we highlight an important property of the translog production function for the identification of treatment effects in a model of latent skill formation. We show that when using a translog specification of the skill technology, properly anchored treatment effect estimates are...

Research on child skill formation and related policies typically rely on parent- reported measures of child non-cognitive skills. In this paper, we show that parental assessments of child non-cognitive skills are directly affected by the skills of the parents. We develop a dynamic model of child...

This paper develops and applies a novel estimation procedure for quantile regressions with time-varying coefficients based on a fully parametric, multifactor specification. The algorithm recursively filters the multifactor dynamic coefficients with a Kalman filter and parameters are estimated by...

Für Unternehmensdaten existieren im Gegensatz zu Personendaten keine einheitlichen Regeln zur Erstellung von Scientific-Use-Files, d.h. eines anonymisierten Datenfiles zur wissenschaftlichen Nutzung. Verschiedene Anonymisierungsmethoden werden hier vorgestellt. Um Mikrodaten einer breiten...

This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches which do not require parametric functional assumptions on the underlying asset price dynamics nor on the distributional form of the risk neutral density. The first estimator is a...