Instrumental Variable Estimation for Duration Data: A Reappraisal of the Illinois Reemployment Bonus Experiment
AbstractWe propose an Instrumental Variable method for Generalised Accelerated Failure Time (GAFT) models that adjust for possible endogeneity of the intervention of interest, without suffering the problems of the intention-to-treat method. We develop an estimatiom procedure that collapses to the linear Rank Estimation procedure for GAFT models with only exogenous variables This is accomplished by using a model that transforms the duration such that for the population parameters, this transformed duration is independent of the instrument. The estimator is used to re-analyse data from the Illinois reemploymnet Bonus experiment
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Bibliographic InfoPaper provided by EconWPA in its series Econometrics with number 0204001.
Length: 35 pages
Date of creation: 08 Apr 2002
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Note: Type of Document - Tex/PDF; prepared on IBM PC; pages: 35
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Duration analysis; Instrumental Variables; ALMP evaluation; endogenous variables;
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
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