• Publications
  • Influence
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
TLDR
It is shown 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, whether the pre-treatment variables have discrete or continuous distributions.
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
We are interested in estimating the average effect of a binary treatment on a scalar outcome. If assignment to the treatment is unconfounded, that is, independent of the potential outcomes given
True and Spurious Duration Dependence: The Identifiability of the Proportional Hazard Model
Lancaster and Nickell (1980) have argued that in the proportional hazard model the effects of time dependence (true duration dependence) and unobserved sample heterogeneity (spurious duration
The Non-Parametric Identification of Generalized Accelerated Failure-Time Models
We consider a class of models that generalizes the popular Mixed Proportional Hazard (MPH) model for duration data: the Generalized Accelerated Failure-Time (GAFT) model. We show that the GAFT model
Stratified partial likelihood estimation.
Vacancies and the Recruitment of New Employees
Little is known about the search strategy that employers use in their efforts to fill job vacancies. In this article, we analyze unique micro data to study this search strategy. We conclude that
An empirical equilibrium search model of the labour market
The authors investigate whether an equilibrium search model, in which the wage offer distribution is endogenous, is able to describe observed labor market histories. They find that the distributions
The Econometrics of Data Combination
Economists who use survey or administrative data for inferences regarding a population may want to combine information obtained from two or more samples drawn from the population. This is the case if
Combining Panel Data Sets with Attrition and Refreshment Samples
TLDR
The manner in which the presence of refreshment samples allows the researcher to test various models for attrition in panel data, including models based on the assumption that missing data are missing at random are described.
...
1
2
3
4
5
...