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Heterogeneity, uncertainty and learning : semiparametric identification and estimation

Bunting, Jackson; Diegert, Paul; Maurel, Arnaud - 2025

We provide identification results for a broad class of learning models in which continuous outcomes depend on three … estimator exhibits good finite-sample properties. Finally, we illustrate our approach with an application to ability learning in … the context of occupational choice. Our results point to substantial ability learning based on realized wages. …

Persistent link: https://www.econbiz.de/10015417780

An Introduction to Nonparametric Regression for Labor Economists

Henderson, Daniel J. - 2018

In this article we overview nonparametric (spline and kernel) regression methods and illustrate how they may be used in labor economic applications. We focus our attention on issues commonly found in the labor literature such as how to account for endogeneity via instrumental variables in a...

Persistent link: https://www.econbiz.de/10012907832

Robust estimation of wage dispersion with censored data : an application to occupational earnings risk and risk attitudes

Pollmann, Daniel; Dohmen, Thomas; Palm, Franz C. - 2013

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...

Persistent link: https://www.econbiz.de/10009775634

Nonparametric bounds on employment and income effects of continuous vocational training in East Germany

Lechner, Michael - 1996

This paper explores the potential of an approach suggested by Manski of obtaining nonparametric bounds for treatment effects in evaluation studies without knowledge of the participation process. The practical concern is the effects of continuous vocational training in East Germany. The empirical...

Persistent link: https://www.econbiz.de/10011622732

Admissible Invariant Similar Tests for Instrumental Variables Regression

Chernozhukov, Victor; Hansen, Christian Bailey; … - 2007

This paper studies a model widely used in the weak instruments literature and establishes admissibility of the weighted average power likelihood ratio tests recently derived by Andrews, Moreira, and Stock (2004). The class of tests covered by this admissibility result contains the Anderson and...

Persistent link: https://www.econbiz.de/10014026286

An introduction to nonparametric regression for labor economists

Henderson, Daniel J.; Souto, Anne-Charlotte - 2018

Persistent link: https://www.econbiz.de/10011946249

Robust estimation of wage dispersion with censored data: an application to occupational earnings risk and risk attitudes

Pollmann, Daniel; Dohmen, Thomas; Palm, Franz C. - 2020

Persistent link: https://www.econbiz.de/10012293101

Nonparametric bounds on employment and income effects of continuous vocational training in East Germany

Lechner, Michael - 1996

Persistent link: https://www.econbiz.de/10013428065

Oracally Efficient Two-Step Estimation of Generalized Additive Model

Liu, Rong - 2017

Generalized additive models (GAM) are multivariate nonparametric regressions for non-Gaussian responses including binary and count data. We propose a spline-backfitted kernel (SBK) estimator for the component functions. Our results are for weakly dependent data and we prove oracle efficiency....

Persistent link: https://www.econbiz.de/10012966282

Mean Volatility Regressions

Lu, Lin - 2017

Motivated by increment process modeling for two correlated random and non-random systems from a discrete-time asset pricing with both risk free asset and risky security, we propose a class of semi-parametric regressions for a combination of a non-random and a random system. Unlike classical...

Persistent link: https://www.econbiz.de/10012966288