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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. 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.
    2. 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.
    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. 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.
    5. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    6. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
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    1. repec:ers:journl:v:xxiv:y:2021:i:special2:p:141-151 is not listed on IDEAS
    2. Volodymyr Martyniuk & Natalia Tsygylyk & Stanisław Skowron, 2021. "The Impact of the Covid-19 Pandemic on Key Indicators of Personnel Security: A Study with Neural Network Technologies," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 141-151.
    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 1), pages 168-178.
    4. 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(2), pages 1-15, May.
    5. repec:ers:journl:v:xxiv:y:2021:i:special2:p:168-178 is not listed on IDEAS

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