Time and causality: a Monte Carlo assessment of the timing-of-events approach

DOI10.1016/j.jeconom.2007.01.015zbMath1418.62453OpenAlexW2150453636MaRDI QIDQ289208

Knut Røed, Tao Zhang, Simen Gaure

Publication date: 27 May 2016

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: http://www.sv.uio.no/econ/english/research/unpublished-works/working-papers/pdf-files/2005/Memo-19-2005.pdf

zbMATH Keywords

treatment effectNPMLE

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric inference (62G99)

Related Items (4)

Time and causality: a Monte Carlo assessment of the timing-of-events approach ⋮ Diagnostic analysis and computational strategies for estimating discrete time duration models -- a Monte Carlo study ⋮ The (mis)specification of discrete duration models with unobserved heterogeneity: a Monte Carlo study ⋮ Flexible parametric estimation technique for a competing risks model with unobserved heterogeneity: a Monte Carlo study

Uses Software

• PcGive

Cites Work

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• The Nonparametric Identification of Treatment Effects in Duration Models

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