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Measuring Social Mobility as Unpredictability

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  • Simon C. Parker
  • Jonathan Rougier

Abstract

By associating mobility with the unpredictability of social states, new measures of social mobility may be constructed. We propose a family of three state‐by‐state and aggregate (scalar) predictability measures. The first set of measures is based on the transition matrix. The second uses a sampling approach and permits statistical testing of the hypothesis of perfect mobility, providing a new justification for the use of the χ2 statistic. The third satisfies the demanding criterion of ‘period consistency’. An empirical example demonstrates the usefulness of the new measures to complement existing ones in the literature.

Suggested Citation

  • Simon C. Parker & Jonathan Rougier, 2001. "Measuring Social Mobility as Unpredictability," Economica, London School of Economics and Political Science, vol. 68(269), pages 63-76, February.
    • Handle: RePEc:bla:econom:v:68:y:2001:i:269:p:63-76
    DOI: 10.1111/1468-0335.00233
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    Cited by:

    1. Almas Heshmati, 2006. "Continental And Sub-Continental Income Inequality," The IUP Journal of Applied Economics, IUP Publications, vol. 0(1), pages 7-52, January.
    2. Parker, Simon C. & Gardner, Sam, 2002. "International income mobility," Economics Letters, Elsevier, vol. 76(2), pages 179-187, July.
    3. Kai-yuen Tsui, 2009. "Measurement of income mobility: a re-examination," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 33(4), pages 629-645, November.
    4. John Creedy & Elin Halvorsen & Thor O. Thoresen, 2013. "Inequality Comparisons In A Multi-Period Framework: The Role Of Alternative Welfare Metrics," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(2), pages 235-249, June.
    5. Sanghamitra Bandyopadhyay & Gaston Yalonetzky, 2016. "An individual-based approach to measurement of multiple-period mobility for nominal and ordinal variables," Working Papers 65, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    6. Adolfo Maza & María Hierro & José Villaverde, 2010. "Measuring intra-distribution income dynamics: an application to the European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(2), pages 313-329, October.
    7. Luis Ayala & Mercedes Sastre, 2002. "La medición de la movilidad de ingresos: enfoques e indicadores," Hacienda Pública Española / Review of Public Economics, IEF, vol. 162(3), pages 101-131, September.
    8. Danny Ben-Shahar & Eyal Sulganik, 2011. "Vacancy chains and the degree of mobility in the housing market," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(3), pages 569-583, December.
    9. Kailash Chandra Pradhan & Shrabani Mukherjee & Shrabani Mukherjee, 2015. "The Income Mobility in Rural India: Evidence From ARIS/ REDS Surveys," Working Papers 2015-109, Madras School of Economics,Chennai,India.
    10. Danny Ben‐Shahar & Eyal Sulganik, 2008. "Partial Ordering of Unpredictable Mobility with Welfare Implications," Economica, London School of Economics and Political Science, vol. 75(299), pages 592-604, August.
    11. C. Ferretti & P. Ganugi, 2013. "A new mobility index for transition matrices," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(3), pages 403-425, August.
    12. John Creedy & Elin Halvorsen & Thor O. Thoresen, 2013. "Inequality Comparisons In A Multi-Period Framework: The Role Of Alternative Welfare Metrics," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(2), pages 235-249, June.

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