Advertisement

Journal of Economics and Finance

, Volume 36, Issue 1, pp 190–200 | Cite as

Social identity and schooling inequality

  • Edward Nissan
  • George Carter
Article
  • 204 Downloads

Abstract

The focus of this paper is to evaluate similarities and differences between and within socio-economic samples of school attendance. Eight variables broadly classified by income, education, family background, and class size, are employed for this purpose. For each of the eight variables, the null hypothesis is that the means by various classifications (income, mother’s schooling, father’s schooling, math score, language score, 4th grade class size, number of 4th grade classes, 4th grade enrollment) are equal against an alternative hypothesis that at least one of the member group differs. The method employed for this purpose is one-way analysis of variance. In each of the classifications, samples were divided to reflect public schools, voucher private schools and unsubsidized private schools as well as the full sample. Furthermore, the full samples are employed to find whether differences between the three groups exist for the eight variables. The full sample is n = 3,776 schools. The results point to statistical significant differences for all of the variables.

Keywords

Inequality Schooling 

JEL Classification

I2 I3 H5 

References

  1. Acemoglu D (2002) Technical change, inequality, and the labor market. J Econ Lit XL(1):7–72CrossRefGoogle Scholar
  2. Akerlof GA, Kranton RE (2001) Identity and schooling: some lessons for the economics of education. J Econ Lit XL(4):1167–1201Google Scholar
  3. Anand S, Ravallion M (1993) Human development in poor countries: on the role of private incomes and public services. J Econ Perspect 7(1):133–150Google Scholar
  4. Andrew M, Meen G (2006) Population structure and location choice: a study of London and South England. Pap Reg Sci 85(3):401–419CrossRefGoogle Scholar
  5. Bell SA, Wray LR (2004) The war on poverty after 40 years: A Minskyan assessment. Public Policy Brief, Levy Economics Institute of Bard College, 78A. Also available at www.levy.org.
  6. Chen Y, Li SX (2009) Group identity and social preferences. Am Econ Rev 99(1):431–457CrossRefGoogle Scholar
  7. Doane DP, Seward LE (2007) Applied statistics in business and economics. McGraw-Hill Irwin, BostonGoogle Scholar
  8. Fields GS (1980) Poverty, inequality and development. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  9. Fortin NM (2006) Higher-education policies and the college wage premium: cross-state evidence from the 1990s. Am Econ Rev 96(4):956–987CrossRefGoogle Scholar
  10. Goldin C, Katz LF, Kuziemko I (2006) The homecoming of American college women: the reversal of the college gender gap. J Econ Perspect 20(4):133–156CrossRefGoogle Scholar
  11. Goldsmith AH, Hamilton D, Williams D Jr (2006) Does a foot in the door matter? White-nonwhite differences in the wage return to tenure and prior workplace experience. South Econ J 73(2):267–306CrossRefGoogle Scholar
  12. Holzer H, Neumark D (2000) Assessing affirmative action. J Econ Lit XXXVIII(3):483–568CrossRefGoogle Scholar
  13. Kassa A (2006) Factors of income inequality and their influence mechanism: a review of empirical literature. J Income Distrib 15:9–41Google Scholar
  14. Persson T, Tabellini G (1994) Is inequality harmful for growth? Am Econ Rev 84(3):600–621Google Scholar
  15. Seguino S (2005) All types of inequality are not created equal: Divergent impacts of inequality on economic growth. Summary, The Levy Economics Institute of Bard College, 15(2): 9–10. Also available at www.levy.org/pubs/wp-433.pdf.
  16. Todd PE, Wolpin KI (2006) Assessing the impact of a school subsidy program in Mexico: using a social esperiment to validate a dynamic behavioral model of child schooling and fertility. Am Econ Rev 96(5):1384–1417CrossRefGoogle Scholar
  17. Urquiola M, Verhoogen E (2009) Class-size caps, sorting, and the regression-discontinuity design. Am Econ Rev 99(1):179–215CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.The University of Southern MississippiHattiesburgUSA

Personalised recommendations