The relationship between household income and educational level. (south Darfur rural areas-Sudan) statistical study

  • Authors

    • Sofian A. A. Saad University of Nyala, Sudan
    • Amin Adam Omdurman Islamic University, Sudan
    • Afra H. Abdelateef
    2016-03-27
    https://doi.org/10.14419/ijasp.v4i1.5655
  • Analysis of Variance (ANOVA), Household Income, Household Survey (HHS), Internally Displaced People (IDPs), Least Significance Difference (LSD).

  • Abstract

    The main aim of this paper is to find out the relationship between the household level of income and the level of education for the household being lived in southern Darfur state (Sudan) since they were seriously affected by the war conflict and lost most of their income sources. One-way Analyses of Variance (ANOVA) have been used to asses this relation where the independent variable and dependent variables are categorical and continuous respectively. Data gathered from Household survey (HHS) is analyzed. The results indicate the existence of relationship between certain education groups and the level of income, mainly high level of education comparing with the low level.

  • References

    1. [1] Gary S. Becker, Human Capital, A Theoretical and Empirical Analysis, Volume Publisher: NBER, Volume ISBN: 0-226-04109-3, (p. 13 - 44), http://www.nber.org/books/beck75-1

      [2] Topel, Robert (1994a), “Regional Labor markets and the Determinants of Wage Inequalityâ€. American Economic Review; V.84-#2, pp. 17-22.

      [3] Galor, O. and J. Zeira (1993), “Income Distribution and Macroeconomics," Review of Economic Studies, 60: 35 −52. http://dx.doi.org/10.2307/2297811.

      [4] Chinhui Juhn, Kevin M. Murphy and Brooks Pierce, "Wage Inequality and the Rise in Returns to Skill", Journal of Political Economy, 1993, vol. 101, issue 3, pages 410-442 http://dx.doi.org/10.1086/261881.

      [5] Perotti (1993), "Income distribution, political instability and investment". NBER working paper # 4486

      [6] Filmer and Pritchett (1999), "The Effect of Household Wealth on Educational Attainment", Evidence from 35 countries. Population and development review: 85-120 http://dx.doi.org/10.1111/j.1728-4457.1999.00085.x.

      [7] Checchi, D (2006), the Economics of Education. Human Capital, Family Background and Inequality. http://dx.doi.org/10.1037/h0041412.

      [8] Boneau, C. A. (1960). "The effects of violations of assumptions underlying the t test", Psychological Bulletin, 57, 49-64.

      [9] Rosie Cornish, 2006. Mathematics learning, statistics, one way analysis of variance.

      [10] Beatrice d’Hombres, Anke Weber and Leandro Elia (2012), "Literature review on income inequality and the effects on social outcomes", JRC scientific and policy reports. http://www.jrc.ec.europa.eu/

      [11] Checchi D. (2003). Inequality in Incomes and Access to Education. A Cross-country Analysis (1960-95). Labour, 17(2), 153-201.http://dx.doi.org/10.1111/1467-9914.00226.

      [12] Chevalier, A., Harmon, C., O'Sullivan, V., & Walker, I. (2005). The Impact of Parental Income and Education on the Schooling of Their Children. WP05, Institute for Fiscal Studies.

      [13] Cochran (1947), "Some Consequences When Assumptions for the Analysis of Variances are not satisfied", Article in Biometrics 3(1):22-38.http://dx.doi.org/10.2307/3001535.

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  • Received date: 2015-12-15

    Accepted date: 2016-01-23

    Published date: 2016-03-27