G
Geert Ridder
Researcher at University of Southern California
Publications - 168
Citations - 7872
Geert Ridder is an academic researcher from University of Southern California. The author has contributed to research in topics: Estimator & Unemployment. The author has an hindex of 41, co-authored 166 publications receiving 7479 citations. Previous affiliations of Geert Ridder include Stanford University & Tinbergen Institute.
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Efficient estimation of average treatment effects using the estimated propensity score
TL;DR: The authors showed that weighting by the inverse of a nonparametric estimate of the propensity score, rather than the true propensity score leads to an efficient estimation of the average treatment effect.
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True and Spurious Duration Dependence: The Identifiability of the Proportional Hazard Model
Chris Elbers,Geert Ridder +1 more
TL;DR: In this article, the authors show that both effects can be distinguished if the model allows for observed explanatory variables in the hazard, and also discuss the application of their result to practical situations.
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An empirical equilibrium search model of the labor market
TL;DR: In this article, the authors investigate whether a proposed equilibrium search model, in which the wage offer distribution is endogenous, is able to describe observed labor market histories, and they find that the distributions of job and unemployment spells are consistent with the data, and that the qualitative predictions of the model for the wages set by employers are confirmed by wage regressions.
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Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
TL;DR: This article showed that weighting with the inverse of a nonparametric estimate of the propensity score, rather than the true propensity score leads to efficient estimates of the various average treatment effects.
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The nonparametric identification of generalized accelerated failure-time models
TL;DR: In this article, the authors consider a class of models that generalizes the popular Mixed Proportional Hazard (MPH) model for duration data: the Generalized Accelerated Failure-Time (GAFT) model.