Nonparametric Instrumental Variable Methods for Dynamic Treatment Evaluation

Gerard J. van den Berg, Petyo Bonev, Enno Mammen

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)
316 Downloads (Pure)


We develop an instrumental variable approach for identification of dynamic treatment effects on survival outcomes in the presence of dynamic selection, noncompliance and right-censoring. The approach is nonparametric and does not require independence of observed and unobserved characteristics or separability
assumptions. We propose estimation procedures and derive asymptotic properties. We apply our approach to evaluate a policy reform in which the pathway of unemployment benefits as a function of the unemployment duration is modified. Those who were unemployed at the reform date could choose between the old and the new regime. We find that the new regime has a
positive average causal effect on the job finding rate.
Original languageEnglish
Pages (from-to)355-367
JournalReview of Economics and Statistics
Issue number2
Early online date1 May 2020
Publication statusPublished - 15 May 2020

Structured keywords

  • ECON Econometrics
  • ECON CEPS Data


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