Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/63034
Authors: 
Gaure, Simen
Røed, Knut
Zhang, Tao
Year of Publication: 
2005
Series/Report no.: 
Memorandum, Department of Economics, University of Oslo 2005,19
Abstract: 
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.
Subjects: 
NPMLE
treatment effect
JEL: 
C14
C15
C41
Document Type: 
Working Paper

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