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A Note on Adapting Propensity Score Matching and Selection Models to Choice Based Samples
Adapting Propensity Score Matching Selection Models Choice Based Samples
2015/1/22
The probability of selection into a treatment, also called the propensity score, plays a central role in classical selection models and in matching models (see, e.g., Heckman, 1980; Heckman and Navarr...
Semiparametric Selection Models with Binary Outcomes
sample selection binary outcomes marginal effects semiparametric
2012/10/23
This paper addresses the estimation of a semiparametric sample selection index model where both the selection rule and the outcome variable are binary. Since the marginal effects are often of primary ...
Selection models with monotone weight functions in meta analysis
global constrained optimization meta analysis monotone non-increasing selection bias
2011/3/24
Publication bias, the fact that studies identified for inclusion in a meta analysis do not represent all studies on the topic of interest, is commonly recognized as a threat to the validity of the res...
Assessing Unemployment Traps in Belgium Using Panel Data Sample Selection Models
panel data sample selection models wage equation predicted wages unemployment traps scarring effect
2013/10/25
In this paper we investigate whether unemployment traps exist and are significant in the transition from unemployment into employment in Belgium. In order to assess them, we use panel data sample sele...