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Source: Journal of Economic Inequality
Resulting in 1 citation.
1. Bavaro, Michele
Tullio, Federico
Intergenerational Mobility Measurement with Latent Transition Matrices
Journal of Economic Inequality published online (31 December 2022): DOI: 10.1007/s10888-022-09554-6.
Also: https://link.springer.com/article/10.1007/s10888-022-09554-6
Cohort(s): NLSY79
Publisher: Springer
Keyword(s): Intergenerational Patterns/Transmission; Mobility, Economic; Socioeconomic Status (SES)

Permission to reprint the abstract has not been received from the publisher.

We propose a multivariate approach for the estimation of intergenerational transition matrices. Our methodology is grounded on the assumption that individuals' social status is unobservable and must be estimated. In this framework, parents and offspring are clustered on the basis of the observed levels of income and occupational categories, thus avoiding any discretionary rule in the definition of class boundaries. The resulting transition matrix is a function of the posterior probabilities of parents and young adults of belonging to each class. Estimation is carried out via maximum likelihood by means of an expectation-maximization algorithm. We illustrate the proposed method using National Longitudinal Survey Data from the United States in the period 1978-2006.
Bibliography Citation
Bavaro, Michele and Federico Tullio. "Intergenerational Mobility Measurement with Latent Transition Matrices." Journal of Economic Inequality published online (31 December 2022): DOI: 10.1007/s10888-022-09554-6.