Optimal unemployment insurance in GE: A robust calibration approach
AbstractA simple Monte Carlo calibration approach is implemented in a GE model with uninsurable employment risk to quantitatively study the optimal replacement rate of a public unemployment insurance (UI) scheme. The optimal UI sampling distribution is found to be bimodal.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 117 (2012)
Issue (Month): 1 ()
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Web page: http://www.elsevier.com/locate/ecolet
Calibration methods; Unemployment risk; Optimal unemployment insurance; Heterogeneous agents; Incomplete markets;
Other versions of this item:
- Marco Cozzi, 2011. "Optimal Unemployment Insurance in GE: a RobustCalibration Approach," Working Papers 1272, Queen's University, Department of Economics.
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- E21 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
- D52 - Microeconomics - - General Equilibrium and Disequilibrium - - - Incomplete Markets
- D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
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