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Performance sampling and bimodal duration dependence
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Denrell, Jerker and Shapira, Zur (2008) Performance sampling and bimodal duration dependence. The Journal of Mathematical Sociology, Volume 33 (Number 1). pp. 38-63. doi:10.1080/00222500802536970 ISSN 0022-250X.
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Official URL: http://dx.doi.org/10.1080/00222500802536970
Abstract
Performance sampling models of duration dependence in employee turnover and firm exit predict that hazard rates will initially be low, gradually rise to a maximum, and then fall. Some empirical duration distributions have bimodal hazard rates, however. In this paper, we present a generalization of the performance sampling model that can account for such deviations from unimodality. While the standard model of performance sampling assumes that the mean and the standard deviation of performance are constant over time, we allow them to change in time, to reflect the fact that tasks may change over time. We derive the hazard rate implied by this more general model and show that it can be bimodal. Using data on turnover in law firms, we show that the hazard rate predicted by these models fit data better than existing models.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Social Sciences > Warwick Business School > Behavioural Science Faculty of Social Sciences > Warwick Business School |
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Journal or Publication Title: | The Journal of Mathematical Sociology | ||||
Publisher: | Taylor & Francis Inc. | ||||
ISSN: | 0022-250X | ||||
Official Date: | 22 December 2008 | ||||
Dates: |
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Volume: | Volume 33 | ||||
Number: | Number 1 | ||||
Page Range: | pp. 38-63 | ||||
DOI: | 10.1080/00222500802536970 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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