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Cited by 616Advanced Causal Inference TechniquesStatistical Methods and InferenceSpatial and Panel Data Analysis

The DOI matches its Crossref record; 52 of the 53 references it cites were found in a registry or an index.

The Nonparametric Identification of Treatment Effects in Duration Models

Abbring, Jaap H., van den Berg, Gerard J.·2003·Econometrica
DOI 10.1111/1468-0262.00456
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Abstract

This paper analyzes the specification and identification of causal multivariate duration models. We focus on the case in which one duration concerns the point in time a treatment is initiated and we are interested in the effect of this treatment on some outcome duration. We define “no anticipation of treatment” and relate it to a common assumption in biostatistics. We show that (i) no anticipation and (ii) randomized treatment assignment can be imposed without restricting the observational data. We impose (i) but not (ii) and prove identification of models that impose some structure. We allow for dependent unobserved heterogeneity and we do not exploit exclusion restrictions on covariates. We provide results for both single-spell and multiple-spell data. The timing of events conveys useful information on the treatment effect.

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Research works printed but not linked: 6

  1. 1962, Renewal Theory
  2. Heckman J. J., 1999, Handbook of Labor Economics, Volume III
  3. J. J. Lok (2001 ): "Statistical Modelling of Causal Effects in Time,", Ph.D. Thesis , Division of Mathematics and Computer Science, Faculty of Sciences, Free University, Amsterdam.
  4. Manski C. F., 1990, American Economic Review, 80, 319
  5. Neyman J., 1923, Roczniki Nauk Rolniczych, 10, 1
  6. Berg G. J., 2004, Journal of Labor Economics, 22

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Metadata

Authors
Abbring, J. H., & van den Berg, G. J.
Affiliations
Vrije Universiteit Amsterdam (NL)
ORCID
Abbring, Jaap H.
Venue
Econometrica
Publisher
The Econometric Society
Published
2003-09
Volume
71
Issue
5
Pages
1491-1517
ISSN
  • 0012-9682 (ISSN-L)
  • 1468-0262
DOI
10.1111/1468-0262.00456
OpenAlex
W2069757101
Cited by
616
References
53
Citations by year
2026: 9 · 2025: 19 · 2024: 18 · 2023: 27 · 2022: 24 · 2021: 18 · 2020: 23 · 2019: 17 · 2018: 23 · 2017: 33 · 2016: 30 · 2015: 25 · 2014: 24 · 2013: 36 · 2012: 31
FWCI
20.88
Type
journal article
Language
en
Open access
closed
Licence
doi.wiley.com/10.1002/tdm_license_1.1 (tdm, 4383 d)
Locations
  • Econometrica (publishedVersion)
  • Bristol Research (University of Bristol) (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • VU Research Portal (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
Keywords
treatment effects, duration models, nonparametric identification, causal inference, unobserved heterogeneity, event timing, treatment initiation

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