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Optimal Unemployment Insurance in an Estimated Job Search Model with Savings Author info | Abstract | Publisher info | Download info | Related research | Statistics Rasmus Lentz (Boston University)
This paper estimates a job search model with savings and determines optimal unemployment benefit policy for the estimated model. For observed and unobserved worker characteristics, the estimation strategy relates observed unemployment spell durations to the model implied unemployment hazard rate. The model is estimated on Danish unemployment spell data which include high quality wealth and income information. The estimation shows that Danish workers respond to changes in economic incentives in ways consistent with the model and that the magnitude of the effect of the responses on the unemployment hazard rate is small. Optimal unemployment benefit level policy is determined as a trade-off between providing insurance against consumption fluctuation and the moral hazard of reducing the worker's incentives to search back into employment. Given the estimated low level of moral hazard, the optimal benefit level is quite high even though workers can self-insure via savings. Depending on the interest rate which is effectively the cost of using savings as self-insurance, the optimal replacement rate ranges between 43% and 82%. The policy analysis emphasizes the importance of including transitional dynamics to avoid a significant downward bias associated with a simple steady state comparison analysis.
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Paper provided by University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics in its series CAM Working Papers with number
2004-10.
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Length: 36 pages
Date of creation: Mar 2003Date of revision:
Handle: RePEc:kud:kuieca:2004_10Contact details of provider: Postal: Ă˜ster Farimagsgade 5, Building 26, DK-1353 Copenhagen K., Denmark Phone: (45) 35 32 30 74 Fax: +45 35 32 30 00 Web page: http://www.econ.ku.dk/CAM/ More information through EDIRC
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
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