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Poverty, Inequality, and Income Mobility in Iran: A Pseudo-Panel Approach

  • Hossein Raghfar
  • Mitra Babapour
Chapter

Abstract

Iran has experienced various social, economic, and political upheavals and structural changes over the past four decades. These have included an Islamic Revolution, an imposed war, economic sanctions, a series of demographic transitions, and rapid fluctuations in oil revenues. Various economic and political developments have arguably had differential influences across generations and stages of life—hence, a variety of welfare conditions experienced by different age groups. In this chapter, we look at the dynamics of income distribution among and between generations over the last three decades. We specifically probe poverty, inequality, income mobility, and vulnerability associated with various generations. Major questions to be answered in this chapter are thus as follows: What is the behavior of consumption expenditure for different age groups and how has it changed through the years? How do poverty and inequality change among different generations according to gender and educational attainment of the household head? What is the speed of income convergence and are households able to improve their standing after negative income shocks? What are the effects of the unemployment rate as an important factor influencing consumption expenditures? Have younger generations faced greater rates of unemployment compared to the age groups who lived their youth prior to the Revolution? Which household characteristics have influenced the vulnerability rate?

Keywords

Unemployment Rate Household Head Gini Coefficient Gini Index Consumption Expenditure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Assadzadeh, A., & Paul, S. (2001). Poverty, growth and redistribution: A case study of Iran. WIDER Working Paper 124. UNU-WIDER, Helsinki.Google Scholar
  2. Antman, F., & McKenzie, D. J. (2005). Earnings mobility and measurement error: A pseudo-panel approach. World Bank Policy Research Working Paper No. 3745. Washington, DC: The World Bank Group.Google Scholar
  3. Antman, F., & McKenzie, D. J. (2007). Earnings mobility and measurement error: A pseudo-panel approach. Economic Development and Cultural Change, 56(1), 125–161.CrossRefGoogle Scholar
  4. Browning, M., Deaton, A., & Irish, M. (1985). A profitable approach to labor supply and commodity demand over the life-cycle. Econometrica, 53(3), 503–544.CrossRefGoogle Scholar
  5. Chen, S., & Ravallion, M. (2007). Absolute poverty measures for the developing world, 1981–2004. World Bank Policy Research Working Paper No. 4211, Washington, DC: The World Bank Group.Google Scholar
  6. Collado, M. D. (1997). Estimating dynamic models from time series of independent cross-sections. Journal of Econometrics, 82, 37–62.CrossRefGoogle Scholar
  7. Cuesta, J., Nopo, H., & Pizzolitto, G. (2007). Using pseudo- panels to measure income mobility in latin america, research department publications 4557, Inter-American Development Bank, Research Department.Google Scholar
  8. Deaton, A. (1985). Panel data from times series of cross-sections. Journal of Econometrics, 30, 109–126.CrossRefGoogle Scholar
  9. Deaton, A. (1997). The analysis of household surveys. A microeconometric approach to development policy. Baltimore, MD: Johns Hopkins University Press.CrossRefGoogle Scholar
  10. Deaton, A., & Paxson, C. (1994). Intertemporal choice and inequality. The Journal of Political Economy, 102(3), 437–467.CrossRefGoogle Scholar
  11. Fields, G. S. (2006). The many facets of economic mobility. ILR School Articles & Chapters, Paper 230, Cornell University, Ithaca, NY. Retrieved March 21, 2016, from http://digitalcommons.ilr.cornell.edu/articles/230/
  12. Foster, J., Greer, J., & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52(3), 761–766.CrossRefGoogle Scholar
  13. Girma, S. (2000). A quasi-differencing approach to dynamic modeling from a time series of independent cross-sections. Journal of Econometrics, 98, 365–383.CrossRefGoogle Scholar
  14. Haughton, J., & Khandker, S. R. (2009). Handbook on poverty and inequality. International bank for reconstruction and development. Washington, DC: The World Bank Group.Google Scholar
  15. Kakwani, N., & Son, H. (2008). Poverty equivalent growth rate. Review of Income and Wealth, 54(4), 643–655.CrossRefGoogle Scholar
  16. McKenzie, D. J. (2004). Asymptotic theory for heterogeneous dynamic pseudo-panels. Journal of Econometrics, 120(2), 235–262.CrossRefGoogle Scholar
  17. Moffitt, R. (1993). Identification and estimation of dynamic models with a time series of repeated cross-sections. Journal of Econometrics, 59(1), 99–124.CrossRefGoogle Scholar
  18. Pritchett, L., Suryahadi, A., & Sumarto, S. (2000). Quantifying vulnerability to poverty: A proposed measure applied to indonesia. World Bank Policy Research Working Paper No. 2437, Washington, DC: The World Bank Group.Google Scholar
  19. Raghfar, H., & Sanei, L. (2010). Measuring household vulnerability to poverty in city of Tehran. Social Welfare, 38, 389–427. (in Persian).Google Scholar
  20. Raghfar, H., Khoshdast, F., & Yazdanpanah, M. (2012). Measurement of income inequality in Iran, 1984–2010. Social Welfare, 45, 275–305. (in Persian).Google Scholar
  21. Raghfar, H., & Babapour, M. (2014). The intergenerational analysis of urban household expenditure by using the Pseudo-panel. Quarterly Journal of Applied Economics Studies, 10, 177–199. (in Persian).Google Scholar
  22. Raghfar, H., Babapour, M., & Yazdanpanah, M. (2015). Survey on the relationship between economic growth, poverty, and inequality in Iran during five-year development plan. Quarterly Journal of Applied Economic Studies, 16, 59–80. (in Persian).Google Scholar
  23. Raghfar, H., Yazdanpanah, M., & Babapour, M. (2016). Three decades of poverty in Iran. To be published (in Persian).Google Scholar
  24. Salehi-Isfahani, D., & Majbouri, M. (2013). Mobility and the dynamics of poverty in Iran: Evidence from the 1992–1995 panel survey. The Quarterly Review of Economics and Finance, 53(3), 257–267.CrossRefGoogle Scholar
  25. SCI [Statistical Center of Iran]. (1984 through 2014). Household expenditure and income surveys.Google Scholar
  26. Scott, C., & Litchfield, J. A. (1994). Inequality, mobility and the determinants of income among the rural poor in chile, 1968–1986. STICERD Working Paper No. 53, London School of Economics, London.Google Scholar
  27. Verbeek, M., & Vella, F. (2005). Estimating dynamic models from repeated cross-sections. Journal of Econometrics, 127, 83–102.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2016

Authors and Affiliations

  • Hossein Raghfar
    • 1
  • Mitra Babapour
    • 2
  1. 1.Institute for Economic and Social StudiesAlzahra UniversityTehranIran
  2. 2.Allameh Tabatabai UniversityTehranIran

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