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A Dynamic Tobit Model of Female Labor Supply

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  • Islam, Nizamul

    (Department of Economics, School of Business, Economics and Law, Göteborg University)

Abstract

A dynamic Tobit model is applied to longitudinal data to estimate the hours of work of married women in Sweden during 1992-2001. Hours of work are found to be negatively related to fertility. Other characteristics of married women are also found to have an effect on labor supply. Inter- temporal labor supply decisions seemed to be characterized by a substantial amount of unobserved heterogeneity, first order state dependence and serially correlated error components. The findings suggest that the first order state dependence and unobserved heterogeneity are very sensitive to the initial condition.

Suggested Citation

  • Islam, Nizamul, 2007. "A Dynamic Tobit Model of Female Labor Supply," Working Papers in Economics 259, University of Gothenburg, Department of Economics.
    • Handle: RePEc:hhs:gunwpe:0259
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    File URL: http://hdl.handle.net/2077/4729
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    References listed on IDEAS

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    Cited by:

    1. Brown, Sarah & Greene, William H. & Harris, Mark N. & Taylor, Karl, 2015. "An inverse hyperbolic sine heteroskedastic latent class panel tobit model: An application to modelling charitable donations," Economic Modelling, Elsevier, vol. 50(C), pages 228-236.
    2. Danúbia R. Cunha & Jose Angelo Divino & Helton Saulo, 2022. "On a log-symmetric quantile tobit model applied to female labor supply data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 49(16), pages 4225-4253, December.
    3. Kostas Mavromaras & Joanne Flavel, 2017. "An Analysis of the Impact of Health on Occupation," The Economic Record, The Economic Society of Australia, vol. 93, pages 86-104, June.
    4. Wiji Arulampalam & Mark B. Stewart, 2009. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 659-681, October.
    5. Tracey West & Elizabeth Mitchell, 2022. "Australian women with good financial knowledge fare better in divorce," Australian Journal of Management, Australian School of Business, vol. 47(2), pages 203-224, May.

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    Keywords

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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