Nakai, Miki and Pennoni, Fulvia (2018): A latent class analysis towards stability and changes in breadwinning patterns among coupled households.
PDF
MPRA_paper_89950.pdf Download (286kB) |
Abstract
We examine how couples'breadwinning patterns are classified and how they have changed over the past four decades during which we have seen increase in women's labor force participation. We explore how the latent variable of spousal breadwinning types is associated with the socioeconomic statuses. To this end, we consider a latent class model especially tailored for an underlying ordinal response derived by comparing two continuous variables. We develop method to estimate the model parameters accounting for the informative sampling design and missing responses. We estimate the measurement model parameters by means of a weighted likelihood function maximised through the Expectation-Maximization algorithm. In order to determine the suitable number of latent classes we rely on the Akaike Information Criterion. Then, fixing the obtained parameters we estimate the latent model parameters by adding the full set of covariates. We make predictions on the basis of the maximum a-posteriori probability. Using data from the Japanese surveys covering the period from 1985 to 2015 breadwinning patterns are examined. Our model discloses two latent classes, each of which represents distinct breadwinning types, namely ``traditional couples" and ``new couples". Interestingly, the two-class pattern persists across the four waves covering the past 40 years.
Item Type: | MPRA Paper |
---|---|
Original Title: | A latent class analysis towards stability and changes in breadwinning patterns among coupled households |
English Title: | A latent class analysis towards stability and changes in breadwinning patterns among coupled households |
Language: | English |
Keywords: | Akaike Information Criterion, Expectation-Maximization algorithm, Gender Inequality, Household Income Composition, Latent class model. |
Subjects: | C - Mathematical and Quantitative Methods > C0 - General > C00 - General C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General J - Labor and Demographic Economics > J3 - Wages, Compensation, and Labor Costs > J31 - Wage Level and Structure ; Wage Differentials Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology > Z13 - Economic Sociology ; Economic Anthropology ; Social and Economic Stratification |
Item ID: | 89950 |
Depositing User: | Prof. Fulvia Pennoni |
Date Deposited: | 19 Nov 2018 06:32 |
Last Modified: | 28 Sep 2019 07:26 |
References: | Agresti, A. (2018). An Introduction to Categorical Data Analysis, 3rd ed. Wiley. Auspurg K., Hinz T. and Sauer C. (2017). Should Women Get Less? Evidence on the Gender Pay Gap from Multifactorial Survey Experiments, American Sociological Review, 82: 179--210. Akaike, H. (1973). Information Theory as an Extension of the Maximum Likelihood Principle. In BN Petrov, C F (Eds.), Second International Symposium on Information Theory, 267--281. Budapest: Akademiai Kiado. Bartolucci, F., Farcomeni, A. and Pennoni, F. (2013). Latent Markov Models for Longitudinal Data. Boca Raton: Chapman and Hall/CRC press. Bartolucci, F., Pandolfi, S. and Pennoni, F. (2017). LMest: An R Package for Latent Markov Models for Longitudinal Categorical Data. Journal of Statistical Software, 81: 1--38. Baum, L.E., Petrie, T., Soules, G. and Weiss, N. (1970). A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. Annals of Mathematical Statistics, 41: 164--171. Bayes T., Price M. (1763). An Essay towards solving a Problem in the Doctrine of Chances, Philosophical Transactions of the Royal Society of London, 53: 370-418. Crompton, R. and Lyonette, C. (2006) Work-life ``balance" in Europe. Acta Sociologica, 49: 379--393. Dempster, A. P., Laird, N. M. and Rubin, D.B. (1977). Maximum Likelihood from Incomplete Data via the EM Algorithm (with discussion). Journal of the Royal Statistical Society B, 39: 1--38. Korpi W., Ferrarini T. and Englund S. (2013). Women's Opportunities under Different Family Policy Constellations: Gender, Class, and Inequality Tradeoffs in Western Countries Re-examined. Social Politics, 20: 1--40. Lazarsfeld P. F. and Henry N. W. (1968). Latent Structure Analysis. Houghton Mifflin, Boston. Lindsay, B., Clogg, C.C. and Grego J. (1991). Semiparametric Estimation in the Rasch Model and Related Exponential Response Models, Including a Simple Latent Class Model for Item Analysis. Journal of the American Statistical Association, 86: 96--107. McLachlan G. J., and Peel D. (2000). Finite Mixture Models. Wiley Series: New York. Nock, S. L. (2001). The marriages of equally dependent spouses. Journal of Family Issues, 22: 755--775. Nakai, M. (2017). Changes in couples' breadwinning patterns and wife's economic role in Japan. In: Greselin, F., Mola, F., and Zenga, M. (Eds.), Proceedings of the conference of the CLAssification and Data Analysis Group (CLADAG) 2017, Universitas Studiorum, Mantova, 1-6. Pennoni, F. (2014). Issues on the Estimation of Latent Variable and Latent Class Models. Scholars'Press, Saarb\"ucken. Raley, S. B., Mattingly, M. J. and Bianchi, S. M. (2006). How dual are dual-income couples? Documenting change from 1970 to 2001. Journal of Marriage and Family, 68:11--28. Saito, M. (2000). Modern Girls. Magazine House, Tokyo. Simpson, I. H. and England, P.(1982). Conjugal work roles and marital solidarity. In: Aldous, J. (Ed.), Two Paychecks: Life in Dual-earner Families, Sage, Beverly Hills, CA, 147-172. Skrondal, A. and Rabe-Hesketh, S. (2004). Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. Boca Raton: Chapman and Hall/CRC press. Sorensen, A. and McLanahan, S. (1987). Married women economic dependency, 1940-1980. American Journal of Sociology, 93: 659-687. Van Buuren, S. (2018). Flexible Imputation of Missing Data. Second Edition. Chapman \& Hall/CRC. Boca Raton, FL. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/89950 |