Unemployment Benefits, Labor Market Transitions, and Spurious Flows: A Multinational Logit Model with Errors in Classification
AbstractThis paper develops an algorithm for analyzing discrete events, such as labor market transitions, when some of these transitions are spurious because of measurement errors. Our algorithm extends the standard multinomial logit model, although our basic approach could be used with other stochastic models as well. We apply this algorithm to study the effect of unemployment insurance (UI) on transitions from unemployment to employment and out of the labor force. Our results suggest that VI lengthens unemployment spells by reducing both transition rates, and show that correcting for measurement error strengthens the apparent effect of VI on spell durations.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 4434.
Date of creation: Aug 1993
Date of revision:
Publication status: published as Review of Economics & Statistics, vol. LXXVII, no. 2, pp. 207-216, (May 1995).
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Find related papers by JEL classification:
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
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