A reinvestigation of contract duration using Quantile Regression for Counts analysis
AbstractIn this paper, a Quantile Regression for Counts Model (QRCM) is used to accommodate the discrete nature of the contract duration variable. Our results show that important time-variant variables behave differently at the tails of the distribution.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 106 (2010)
Issue (Month): 3 (March)
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Web page: http://www.elsevier.com/locate/ecolet
Contract duration Quantile Regression Count data;
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.:
- Robert Rich & Joe Tracy, 2000.
"Uncertainty and labor contract durations,"
106, Federal Reserve Bank of New York.
- Koenker,Roger, 2005.
Cambridge University Press, number 9780521845731.
- Louis Christofides & Amy Chen Peng, 2003.
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CESifo Working Paper Series
994, CESifo Group Munich.
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- Danziger, Leif, 1988. "Real Shocks, Efficient Risk Sharing, and the Duration of Labor Contracts," The Quarterly Journal of Economics, MIT Press, vol. 103(2), pages 435-40, May.
- Machado, Jose A.F. & Silva, J. M. C. Santos, 2005.
"Quantiles for Counts,"
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- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Gray, Jo Anna, 1978. "On Indexation and Contract Length," Journal of Political Economy, University of Chicago Press, vol. 86(1), pages 1-18, February.
- Lohr, Luanne & Park, Timothy A., 2012. "Demand for Private Marketing Expertise by Organic Farmers: A Quantile Analysis Based on Counts," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(02), May.
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