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A reinvestigation of contract duration using Quantile Regression for Counts analysis

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  • Liu, Chunping
  • Peng, Amy

Abstract

In 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.

Suggested Citation

  • Liu, Chunping & Peng, Amy, 2010. "A reinvestigation of contract duration using Quantile Regression for Counts analysis," Economics Letters, Elsevier, vol. 106(3), pages 184-187, March.
    • Handle: RePEc:eee:ecolet:v:106:y:2010:i:3:p:184-187
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    References listed on IDEAS

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    1. Machado, Jose A.F. & Silva, J. M. C. Santos, 2005. "Quantiles for Counts," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1226-1237, December.
    2. Robert Rich & Joseph Tracy, 2004. "Uncertainty and Labor Contract Durations," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 270-287, February.
    3. Christofides, Louis N. & Peng, Chen, 2006. "Contract duration and indexation in a period of real and nominal uncertainty," Labour Economics, Elsevier, vol. 13(1), pages 61-86, February.
    4. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    5. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    6. Leaf Danziger, 1988. "Real Shocks, Efficient Risk Sharing, and the Duration of Labor Contracts," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 103(2), pages 435-440.
    7. Gray, Jo Anna, 1978. "On Indexation and Contract Length," Journal of Political Economy, University of Chicago Press, vol. 86(1), pages 1-18, February.
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    Cited by:

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    2. Lohr, Luanne & Park, Timothy, 2012. "Demand for Private Marketing Expertise by Organic Farmers: A Quantile Analysis Based on Counts," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(2), pages 157-171, May.
    3. Volodymyr Martyniuk & Jakub Bis, 2021. "Artificial Neural Networks with Radial-Basis Transmission Functions for Modelling Economic Phenomena and Processes," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 168-178.

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