Skip to main content

Advertisement

Log in

The roles of location and education in the distribution of economic well-being in Indonesia: hierarchical and non-hierarchical inequality decomposition analyses

  • Original Paper
  • Published:
Letters in Spatial and Resource Sciences Aims and scope Submit manuscript

Abstract

This paper analyzes the roles of location (rural and urban sectors) and education in the distribution of economic well-being in Indonesia by employing the hierarchical and non-hierarchical decomposition methods of the Theil indices. This is done by using household expenditure data from the national socio-economic survey (Susenas) in 2008. It shows that there are large expenditure disparities across education levels but that these are more pronounced in the urban sector than the rural sector. When there are differences in educational structure between the rural and urban sectors, the hierarchical decomposition method appears to offer a better approach than the non-hierarchical method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. The primary education group includes households whose heads have either no education, incomplete primary education or primary education. The secondary group consists of households whose heads completed junior high school or senior high school, whereas the tertiary group includes households whose heads completed two-year junior college, three-year junior college, four-year university/college, or graduate school (master’s or doctoral program).

  2. Except the Blinder-Oaxaca decomposition, all the results are weighted results based on sample weights.

  3. The paper presented only the decomposition results of the Theil \(T\), since the implications of the Theil \(L\) results are similar to those of the Theil \(T\) results. The Theil \(L \)results are available from the authors upon request.

  4. Regression results for the urban, rural and pooled models are given in Table 7 in the Appendix.

References

  • Akita, T.: Decomposing regional income inequality in China and Indonesia using two-stage nested Theil decomposition method. Ann. Reg. Sci. 37(1), 55–77 (2003)

    Article  Google Scholar 

  • Akita, T., Miyata, S.: Urbanization, educational expansion, and expenditure inequality in Indonesia in 1996, 1999, and 2002. J. Asia Pac. Econ. 13(2), 147–167 (2008)

    Article  Google Scholar 

  • Balisacan, A. M., Fuwa, N.: Changes in spatial income inequality in the Philippines. UNU/WIDER Research Paper No. 2004/X, Helsinki (2004)

  • Blinder, A.S.: Wage discrimination: reduced form and structural estimates. J. Hum. Resour. 8(4), 436–455 (1973)

    Article  Google Scholar 

  • Bourguignon, F.: Decomposable income inequality measures. Econometrica 47(4), 901–920 (1979)

    Article  Google Scholar 

  • Elbers, C., Lanjouw, P., Mistiaen, J.A., Ozler, B.: Reinterpreting between-group inequality. J. Econ. Inequal. 6(3), 231–245 (2008)

    Article  Google Scholar 

  • Estudillo, J.P.: Income inequality in the Philippines, 1961–91. Dev. Econ. 35(1), 68–95 (1997)

    Article  Google Scholar 

  • Glewwe, P.: The distribution of income in Sri Lanka in 1969–70 and 1980–81: a decomposition analysis. J. Dev. Econ. 24(2), 255–274 (1986)

    Article  Google Scholar 

  • Ikemoto, Y.: Income distribution in Thailand: its changes, causes, and structure. University of Tokyo Press, Tokyo (1991)

    Google Scholar 

  • Neumark, D.: Employers’ discriminatory behavior and the estimation of wage discrimination. J. Hum. Resour. 23(3), 279–295 (1988)

    Article  Google Scholar 

  • Oaxaca, R.: Male-female wage differentials in urban labor markets. Int. Econ. Rev. 14(3), 693–709 (1973)

    Article  Google Scholar 

  • Rao, V.V.B., Banerjee, D.S., Mukhopadhaya, P.: Earnings inequality in Singapore. J. Asia Pac. Econ. 8(2), 210–228 (2003)

    Article  Google Scholar 

  • Shorrocks, A.: The class of additively decomposable inequality measures. Econometrica 48(3), 613–625 (1980)

    Article  Google Scholar 

  • Shorrocks, A., Wan, G.: Spatial decomposition of inequality. J. Econ. Geogr. 5(1), 59–81 (2005)

    Article  Google Scholar 

  • Tang, K.K., Petrie, D.: Non-hierarchical bivariate decomposition of Theil indexes. Econ. Bull. 29(2), 918–927 (2009)

    Google Scholar 

  • Tsakloglou, P.: Aspects of inequality in Greece: measurement, decomposition and intertemporal change, 1974, 1982. J. Dev. Econ. 40(1), 53–74 (1993)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Takahiro Akita.

Additional information

Takahiro Akita is grateful to the Japan Society for the Promotion of Science for its financial support (Grant-in-Aid for Scientific Research No. 24530274). The authors thank anonymous referees for their helpful comments and suggestions.

Appendix

Appendix

See Tables 6, 7.

Table 6 Hierarchical vs. non-hierarchical decompositions of Theil T index education \(\Rightarrow \) location
Table 7 Regression results for the Blinder-Oaxaca decomposition

Rights and permissions

Reprints and permissions

About this article

Cite this article

Akita, T., Miyata, S. The roles of location and education in the distribution of economic well-being in Indonesia: hierarchical and non-hierarchical inequality decomposition analyses. Lett Spat Resour Sci 6, 137–150 (2013). https://doi.org/10.1007/s12076-013-0093-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12076-013-0093-8

Keywords

JEL Classification

Navigation