A Beta-logistic Model for the Analysis of Sequential Labor Force Participation by Married Women
In this paper, we discuss statistical problems that arise in studying sequences of quantal responses (e.g., labor force participation) in panel data on heterogeneous populations (i.e., populations in which there is unobserved variation in response probabilities). Assuming that response probabilities are governed by a beta distribution, we derive a generalization of the cross-section logit model to enable it to deal with sequences of discrete events in panel data. This model is applied to panel data on labor force participation of married women. One of our findings is that the distribution of participation probabilities is U-shaped, indicating that most women have participation probabilities near zero or one.
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- James J. Heckman & Robert J. Willis, 1974.
"Estimation of a Stochastic Model of Reproduction: An Econometric Approach,"
NBER Working Papers
0034, National Bureau of Economic Research, Inc.
- James J. Heckman & Robert J. Willis, 1976. "Estimation of a Stochastic Model of Reproduction: An Econometric Approach," NBER Chapters, in: Household Production and Consumption, pages 99-146 National Bureau of Economic Research, Inc.
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