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Cohort Effects, Spousal Incomes and Female Labour Force Participation in Japan - A Panel Data Analysis

Author

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  • Tomoko Kishi

    (Nanzan University)

Abstract

In this paper, I estimate labour supply functions for married women in Japan. In particular, I attempt to capture the differences between three cohorts of women regarding their choice of employment status: full-time employment or part-time employment. I also consider whether there are any cohort-related differences in the choice of working or non-working status. For this purpose, Waves 1-15 (1993-2007) of the Japanese Panel Survey on Consumers (JPSC) are used. The estimation reveals that younger cohorts have higher log odds ratios of full-time employment to not working and of part-time employment to not working. The estimation also reveals that younger cohorts exhibit significantly higher log odds ratios of working to not working compared with older cohorts. For both estimations, the negative effect of having children aged three to five years on both full-time and part-time employment is weaker among the younger cohorts. On the other hand, the negative effect of having children less than two years of age on full-time and part-time employment is common to both older and younger cohorts.

Suggested Citation

  • Tomoko Kishi, 2013. "Cohort Effects, Spousal Incomes and Female Labour Force Participation in Japan - A Panel Data Analysis," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 16(2), pages 201-217.
    • Handle: RePEc:ozl:journl:v:16:y:2013:i:2:p:201-217
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    References listed on IDEAS

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    Cited by:

    1. Sanae Tashiro, 2015. "Is being single better? An analysis of employment structure and wages of Japanese female workers," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 18(3), pages 239-254.
    2. Franklin Soriano & Ruel Abello, 2015. "Modelling the relationships between the use of STEM* skills, collaboration, R&D and Innovation among Australian Businesses," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 18(3), pages 345-374.

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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