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Hans van Ophem

Researcher at University of Amsterdam

Publications -  29
Citations -  788

Hans van Ophem is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Wage & Earnings. The author has an hindex of 13, co-authored 28 publications receiving 767 citations. Previous affiliations of Hans van Ophem include Tinbergen Institute.

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Journal ArticleDOI

Determinants of Willingness and Opportunity to Start as an Entrepreneur

TL;DR: This article developed an empirical model to separate the unobserved factors of "opportunity" and "willingness" in the decision of labor force participants to become self-employed or not.
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Explaining International Differences in Male Skill Wage Differentials by Differences in Demand and Supply of Skill

TL;DR: The authors explored the hypothesis that wage differentials between skill groups across countries are consistent with a demand and supply framework, and found that about one third of the variation in relative wages among skill groups between countries across countries is explained by differences in net supply of skill groups.
Journal ArticleDOI

Explaining international differences in male skill wage differentials by differences in demand and supply of skill

TL;DR: This article explored the hypothesis that wage differentials between skill groups across countries are consistent with a demand and supply framework, and found that about one third of the variation in relative wages among skill groups between countries across countries is explained by differences in net supply of skill groups.
Journal ArticleDOI

A General Method to Estimate Correlated Discrete Random Variables

Hans van Ophem
- 01 Apr 1999 - 
TL;DR: In this paper, a method is presented to estimate correlated discrete random variables with known univariate distribution functions up to some parameters, and an empirical illustration on Dutch recreational data is presented.
Journal ArticleDOI

Modeling Selectivity in Count-Data Models

TL;DR: In this paper, a method for modeling endogenous selectivity in count data is presented, where two regimes are distinguished with potentially different data-generating processes and the regime choice is allowed to be correlated with the observed count in each of the regimes.