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An Invitation to Multivariate Analysis: An Example About the Effect of Educational Attainment on Migration Propensities in Japan

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  • Atsushi Otomo
  • Kao-Lee Liaw
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    Abstract

    To provide a strong motivation for students to learn multivariate statistics and the multivariate way of thinking, this paper uses an easily understandable example of ascertaining the effect of educational attainment on migration propensity in Japan. With cross-tabulations and a logistic model, we demonstrate the necessity of the multivariate approach by showing that the control for the effect of gender is indispensable for revealing the true effect of educational attainment. We further identify two conditions under which valid inference about the effect of a factor depends critically on the control for another factor. Finally, we identify an apparent contradiction between tabulated and logistic results and present a resolution to it.

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    File URL: http://socserv.mcmaster.ca/qsep/p/qsep388.pdf
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    Bibliographic Info

    Paper provided by McMaster University in its series Quantitative Studies in Economics and Population Research Reports with number 388.

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    Length: 28 pages
    Date of creation: Dec 2003
    Date of revision:
    Handle: RePEc:mcm:qseprr:388

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    Related research

    Keywords: multivariate analysis; logistic model; odds ratios;

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    Cited by:
    1. Kao-Lee Liaw & Lei Xu, 2007. "Problematic Post-Landing Interprovincial Migration of the Immigrants in Canada: From 1980-83 through 1992-95," Social and Economic Dimensions of an Aging Population Research Papers 194, McMaster University.
    2. Kao-Lee Liaw & Lei Xu, 2007. "Problematic Post-Landing Interprovincial Migration of the Immigrants in Canada: From 1980-83 through 1992-95," Quantitative Studies in Economics and Population Research Reports 417, McMaster University.
    3. Kao-Lee Liaw & William Frey, 2008. "Choices of Metropolitan Destinations by the 1995-2000 New Immigrants Born in Mexico and India: Characterization and Multivariate Explanation," Working Papers 08-27, Center for Economic Studies, U.S. Census Bureau.

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