The Proportion of Females in the Establishment: Discrimination, Preferences and Technology

This paper examines determinants of the proportion of females in the establishment as this variable can affect the male- female wage gap in an important way. Our search for the determinants is guided by two views of the labour market, namely discrimination and coincidence of needs between firms and workers. Results suggest that establishments have higher proportion of females when employment is higher during the school year and employment turnover is higher; the more stable the demand for the output; the higher the proportion of white collar employees; and the smaller the local labour market. This suggests that public policy based on one view of how the labour market works may produce unintended results that will not necessarily improve the welfare of the very groups targeted.Gender Wage Gap, Wage Decomposition Techniques, and Determinants Proportion of Females in the Establishment

The limiting distributions of unit-root tests for data with cross-sectional and time-series dimensions

The limiting distributions of two unit-root test statistics are derived and discussed for data that have both cross-sectional and time-series dimensions.Unit root Cross section Time series Limiting distribution Wiener process

The Proportion of Females in the Establishment: Discrimination, Preferences and Technology

This paper examines determinants of the proportion of females in the establishment as this variable can affect the male-female wage gap in an important way. Our search for the determinants is guided by two views of the labour market, namely discrimination and coincidence of needs between firms and workers. Results suggest that establishments have a higher proportion of females when employment is higher during the school year and employment turnover is higher, the more stable the demand for the output, the higher the proportion of white-collar employees, and the smaller the local labour market. This suggests that public policy based on one view of how the labour market works may produce unintended results that will not necessarily improve the welfare of the very groups targeted.

Asymmetric Stochastic Conditional Duration Model--A Mixture-of-Normal Approach

This paper extends the stochastic conditional duration model first proposed by Bauwens and Veredas (2004) by imposing mixtures of bivariate normal distributions on the innovations of the observation and latent equations of the duration process. This extension allows the model not only to capture various density shapes of the durations but also to easily accommodate a richer dependence structure between the two innovations. In addition, it applies an estimation methodology based on the empirical characteristic function. Empirical applications based on the IBM and Boeing transaction data are provided to assess and illustrate the performance of the proposed model and the estimation method. One interesting empirical finding in this paper is that there is a significantly positive correlation under both the contemporaneous and lagged intertemporal dependence structures for the IBM and Boeing duration data. Copyright The Author 2011. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: [email protected], Oxford University Press.