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A latent class analysis towards stability and changes in breadwinning patterns among coupled households

Author

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  • Pennoni Fulvia

    (Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Via Bicocca degli Arcimboldi,8, 20126Milano)

  • Nakai Miki

    (College of Social Sciences, Ritsumeikan University, 56-1 Tojiin Kitamachi, Kyoto603-8577Japan)

Abstract

A latent class model is proposed to examine couples’ breadwinning typologies and explain the wage differentials according to the socio-demographic characteristics of the society with data collected through surveys. We derive an ordinal variable indicating the couple’s income provision-role type and suppose the existence of an underlying discrete latent variable to model the effect of covariates. We use a two-step maximum likelihood inference conducted to account for concomitant variables, informative sampling scheme and missing responses. The weighted log-likelihood is maximised through the Expectation-Maximization algorithm and information criteria are used to develop the model selection. Predictions are made on the basis of the maximum posterior probabilities. Disposing of data collected in Japan over thirty years we compare couples’ breadwinning patterns across time. We provide some evidence of the gender wage-gap and we show that it can be attributed to the fact that, especially in Japan, duties and responsibilities for the child care are supported exclusively by women.

Suggested Citation

  • Pennoni Fulvia & Nakai Miki, 2019. "A latent class analysis towards stability and changes in breadwinning patterns among coupled households," Dependence Modeling, De Gruyter, vol. 7(1), pages 234-246, January.
    • Handle: RePEc:vrs:demode:v:7:y:2019:i:1:p:234-246:n:12
    DOI: 10.1515/demo-2019-0012
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    References listed on IDEAS

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    1. Isabella Sulis & Mariano Porcu, 2017. "Handling Missing Data in Item Response Theory. Assessing the Accuracy of a Multiple Imputation Procedure Based on Latent Class Analysis," Journal of Classification, Springer;The Classification Society, vol. 34(2), pages 327-359, July.
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    Cited by:

    1. Fulvia Pennoni & Ewa Genge, 2020. "Analysing the course of public trust via hidden Markov models: a focus on the Polish society," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(2), pages 399-425, June.

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    More about this item

    Keywords

    Akaike information criterion; Expectation-Maximization algorithm; gender inequality; household income composition; weighted log-likelihood; 62C12; 62D05; 62H12; 62P25; 91B40;
    All these keywords.

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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