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International Income Comparisons and Social Welfare: Methodology, Analysis, and Implications

Author

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  • Dehejia Vivek H.

    (Carleton University)

  • Voia Marcel C.

    (Carleton University)

Abstract

This paper contributes to ongoing debates on international income comparisons by decomposing the income distribution functions for the United States and Canada over the period 1993 - 2000 using finite mixtures. We also conduct tests for equality, first, second and third order stochastic dominance to determine which, if either, country might exhibit greater social welfare, which in our baseline case we model simply as expected utility. Overall, our results suggest that Canada exhibits higher social welfare than U.S., principally because it exhibits lower income inequality, thereby confirming a conjecture by Joseph Stiglitz which was the motivation for our study.

Suggested Citation

  • Dehejia Vivek H. & Voia Marcel C., 2012. "International Income Comparisons and Social Welfare: Methodology, Analysis, and Implications," Journal of Globalization and Development, De Gruyter, vol. 3(1), pages 1-24, June.
    • Handle: RePEc:bpj:globdv:v:3:y:2012:i:1:n:1
    DOI: 10.1515/1948-1837.1167
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    References listed on IDEAS

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    1. Shorrocks, Anthony F, 1984. "Inequality Decomposition by Population Subgroups," Econometrica, Econometric Society, vol. 52(6), pages 1369-1385, November.
    2. Amartya Sen, 1976. "Real National Income," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 43(1), pages 19-39.
    3. Burkhauser, Richard V. & Amy Crews Cutts & Mary C. Daly & Stephen P. Jenkins, 1999. "Testing the Significance of Income Distribution Changes over the 1980s Business Cycle: A Cross-National Comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 253-272, May-June.
    4. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    5. Russell Davidson & Jean-Yves Duclos, 2013. "Testing for Restricted Stochastic Dominance," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 84-125, January.
    6. Kaur, Amarjot & Prakasa Rao, B.L.S. & Singh, Harshinder, 1994. "Testing for Second-Order Stochastic Dominance of Two Distributions," Econometric Theory, Cambridge University Press, vol. 10(5), pages 849-866, December.
    7. Vivek Dehejia, 2008. "Risk Aversion, Stochastic Dominance, and Rules of Thumb: Concept and Application," Carleton Economic Papers 08-01, Carleton University, Department of Economics.
    8. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
    9. Anderson, Gordon, 1996. "Nonparametric Tests of Stochastic Dominance in Income Distributions," Econometrica, Econometric Society, vol. 64(5), pages 1183-1193, September.
    10. Hall, Peter & Yatchew, Adonis, 2005. "Unified approach to testing functional hypotheses in semiparametric contexts," Journal of Econometrics, Elsevier, vol. 127(2), pages 225-252, August.
    11. Cowell, F.A., 2000. "Measurement of inequality," Handbook of Income Distribution, in: A.B. Atkinson & F. Bourguignon (ed.), Handbook of Income Distribution, edition 1, volume 1, chapter 2, pages 87-166, Elsevier.
    12. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    13. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2005. "Consistent Testing for Stochastic Dominance under General Sampling Schemes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 735-765.
    14. Feng Zhu, 2005. "A nonparametric analysis of the shape dynamics of the US personal income distribution: 1962-2000," BIS Working Papers 184, Bank for International Settlements.
    15. Brian McCaig & Adonis Yatchew, 2007. "International welfare comparisons and nonparametric testing of multivariate stochastic dominance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 951-969.
    16. Schmid, Friedrich & Trede, Mark, 1998. "A Kolmogorov-type test for second-order stochastic dominance," Statistics & Probability Letters, Elsevier, vol. 37(2), pages 183-193, February.
    17. Foster, James E & Shorrocks, Anthony F, 1991. "Subgroup Consistent Poverty Indices," Econometrica, Econometric Society, vol. 59(3), pages 687-709, May.
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