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Erscheinungsjahr: 
2005
Schriftenreihe/Nr.: 
Memorandum No. 2005,19
Verlag: 
University of Oslo, Department of Economics, Oslo
Zusammenfassung: 
We present new Monte Carlo evidence regarding the feasibility of separating causality from selection within non-experimental interval-censored duration data, by means of the nonparametric maximum likelihood estimator (NPMLE). Key findings are: i) the NPMLE is extremely reliable, and it accurately separates the causal effects of treatment and duration dependence from sorting effects, almost regardless of the true unobserved heterogeneity distribution; ii) the NPMLE is normally distributed, and standard errors can be computed directly from the optimally selected model; and iii)unjustified restrictions on the heterogeneity distribution, e.g., in terms of a prespecified number of support points, may cause substantial bias.
Schlagwörter: 
NPMLE
treatment effect
JEL: 
C14
C15
C41
Dokumentart: 
Working Paper

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