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Time and Causality: A Monte Carlo Assessment of the Timing-of-Events Approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Gaure, Simen () (Centre for Information Technology Services, University of Oslo and The Ragnar Frisch Centre for Economic Research)
Røed, Knut () (The Ragnar Frisch Centre for Economic Research)
Zhang, Tao () (The Ragnar Frisch Centre for Economic Research)
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registered author(s):
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.
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Paper provided by Oslo University, Department of Economics in its series Memorandum with number
19/2005.
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Length: 60 pages
Date of creation: 05 Aug 2005Date of revision:
Handle: RePEc:hhs:osloec:2005_019Contact details of provider: Postal: Department of Economics, University of Oslo, P.O Box 1095 Blindern, N-0317 Oslo, Norway Phone: 22 85 51 27 Fax: 22 85 50 35 Email: Web page: http://www.oekonomi.uio.no/indexe.html More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Rhiana Bergh-Seeley).
Keywords: NPMLE ; treatment effect ; Other versions of this item:
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis
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