Learning and Smooth Stopping
We propose a simple model of optimal stopping where the economic environment changes as a result of learning. A primary application of our framework is an optimal job search problem when the worker's labour market opportunities are initially uncertain. We distinguish between two interpretations of the model. In the first, a worker learns about common market conditions, such as the number of potential employers, that affect all searchers. In the second, the worker learns about her idiosyncratic productivity distribution across firms. For the first model, we show that learning leads to higher wage demands by the workers. In the second model, we give sufficient conditions so that learning leads to higher wage demands for optimistic workers and lower demands for pessimistic workers due to learning.
|Date of creation:||Jan 2008|
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- Merlo, Antonio & Ortalo-Magne, Francois, 2004.
"Bargaining over residential real estate: evidence from England,"
Journal of Urban Economics,
Elsevier, vol. 56(2), pages 192-216, September.
- François Ortalo-Magné & Antonio Merlo, 2002. "Bargaining over Residential Real Estate: Evidence from England," Wisconsin-Madison CULER working papers 02-02, University of Wisconsin Center for Urban Land Economic Research.
- Antonio M. Merlo & François Ortalo-Magné, 2002. "Bargaining over Residential Real Estate: Evidence from England," CESifo Working Paper Series 778, CESifo Group Munich.
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- Lones Smith, 1995.
"Optimal Job Search in a Changing World,"
95-3, Massachusetts Institute of Technology (MIT), Department of Economics.
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