The analysis to detect changes of unequal opportunity in social mobility: An application of binary logistic regression model

Research output: Contribution to journalArticle

Abstract

This paper presents the method which uses binary logistic regression model to estimate the degree and its changes of unequal opportunity in intergenerational mobility. In this model, the time variables, the dummy variable of father's class which denotes the same category to the dependent variable on son's class, and the interaction variables are employed as independent variables. The parameter estimated by this model parallels to observed log odds ratio in a mobility table and reflects changes of unequal opportunity caused by time period, birth cohort and aging. The results of analysis applied to SSM survey data show that unequal opportunity in three of six classes decreased with aging, and in one class diminished with surveyed time points, while other two classes had no temporal change. The index calculated from the parameters, to measure total inequality which a society has as a whole, suggests that mobility in Japan was equalized drastically from 1955 to 1965, and gradually with transition of cohorts since 1965.

Original languageEnglish
Pages (from-to)251-264
Number of pages14
JournalSociological Theory and Methods
Volume19
Issue number2
Publication statusPublished - 2004 Sep

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Social Mobility
logistics
regression
intergenerational mobility
father
Japan
interaction
time

Keywords

  • Intergenerational mobility
  • Logistic regression
  • Temporal change
  • Unequal opportunity

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Sociology and Political Science

Cite this

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title = "The analysis to detect changes of unequal opportunity in social mobility: An application of binary logistic regression model",
abstract = "This paper presents the method which uses binary logistic regression model to estimate the degree and its changes of unequal opportunity in intergenerational mobility. In this model, the time variables, the dummy variable of father's class which denotes the same category to the dependent variable on son's class, and the interaction variables are employed as independent variables. The parameter estimated by this model parallels to observed log odds ratio in a mobility table and reflects changes of unequal opportunity caused by time period, birth cohort and aging. The results of analysis applied to SSM survey data show that unequal opportunity in three of six classes decreased with aging, and in one class diminished with surveyed time points, while other two classes had no temporal change. The index calculated from the parameters, to measure total inequality which a society has as a whole, suggests that mobility in Japan was equalized drastically from 1955 to 1965, and gradually with transition of cohorts since 1965.",
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AB - This paper presents the method which uses binary logistic regression model to estimate the degree and its changes of unequal opportunity in intergenerational mobility. In this model, the time variables, the dummy variable of father's class which denotes the same category to the dependent variable on son's class, and the interaction variables are employed as independent variables. The parameter estimated by this model parallels to observed log odds ratio in a mobility table and reflects changes of unequal opportunity caused by time period, birth cohort and aging. The results of analysis applied to SSM survey data show that unequal opportunity in three of six classes decreased with aging, and in one class diminished with surveyed time points, while other two classes had no temporal change. The index calculated from the parameters, to measure total inequality which a society has as a whole, suggests that mobility in Japan was equalized drastically from 1955 to 1965, and gradually with transition of cohorts since 1965.

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