Abstract
We discuss dynamic models designed to describe the evolution of gender gaps deriving from the nature of the social decision processes. In particular, we study the committee choice function that maps a present committee composition to its future composition. The properties of this function and the decision mechanisms will determine the characteristics of the stochastic process that drives the dynamics over time and the long run equilibrium. We also discuss how to estimate the committee choice function parametrically and nonparametrically using conditional maximum likelihood.
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Notes
- 1.
A glass ceiling is described as a gender difference that increases along the corporate hierarchy and is not explained by other job-relevant characteristics of the employee [4].
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Acknowledgments
Financial support from ME (ECO2012-35820, ECO2011-29268 and ECO2014-51914-P), the Basque Government (DEUI, IT-313-07) and UPV/EHU (UFI 11/46 BETS) is gratefully acknowledged.
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Espinosa, M.P., Ferreira, E., Stute, W. (2016). Discrimination, Binomials and Glass Ceiling Effects. In: Cao, R., González Manteiga, W., Romo, J. (eds) Nonparametric Statistics. Springer Proceedings in Mathematics & Statistics, vol 175. Springer, Cham. https://doi.org/10.1007/978-3-319-41582-6_11
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DOI: https://doi.org/10.1007/978-3-319-41582-6_11
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