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The Effects of Lifetime Work Experience on Incidence and Severity of Elderly Poverty in Korea

Author

Listed:
  • Chae, Seyoung

    (Sogang University)

  • Heshmati, Almas

    (Jönköping University)

Abstract

This study investigates the characteristics that contribute to elderly poverty, mainly focusing on individuals' lifetime work experience. It adopts the heterogeneous relative poverty line which differs by gender, province of residence and over time. It calculates the work experience and obtains demographic variables using the Korean Labor and Income Panel Study's survey data for 2006, 2009, 2012 and 2015. The objective is to estimate poverty amongst elderly and explain its variations in relation to individual characteristics and lifetime work experience. Poverty is measured as the head count, poverty gap and the poverty severity indices. The poverty measures are based on the monetary dimensions of well-being namely income and consumption. The methodology used in this study is the logit model to explain incidence of poverty and the sample selection model to analyze the depth and severity of poverty. The results show evidence of a significant selection bias in all the poverty models based on income, but not on the consumption. In both income and consumption models increase in the total work years lessens the incidence of poverty and a decrease in the gap years downsizes the probability of being poor. High-income occupation and labor market participation greatly decrease the incidence of poverty. Most of the work relevant variables become insignificant in the poverty gap and severity models of consumption while both work years and gap years are significant in the income model. The number of jobs representing turnover rate significantly increases the probability of being impoverished only in the consumption model.

Suggested Citation

  • Chae, Seyoung & Heshmati, Almas, 2017. "The Effects of Lifetime Work Experience on Incidence and Severity of Elderly Poverty in Korea," IZA Discussion Papers 10909, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp10909
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    References listed on IDEAS

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    1. Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-764, July.
    2. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    3. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    4. Greg J. Duncan & Saul D. Hoffman, 1985. "Economic Consequences of Marital Instability," NBER Chapters, in: Horizontal Equity, Uncertainty, and Economic Well-Being, pages 427-470, National Bureau of Economic Research, Inc.
    5. Bastos, Amélia & Casaca, Sara F. & Nunes, Francisco & Pereirinha, José, 2009. "Women and poverty: A gender-sensitive approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(5), pages 764-778, October.
    6. Esfandiar Maasoumi & Tong Xu, 2015. "Weights and substitution degree in multidimensional well-being in China," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 42(1), pages 4-19, January.
    7. Clark, Stephen & Hemming, Richard & Ulph, David, 1981. "On Indices for the Measurement of Poverty," Economic Journal, Royal Economic Society, vol. 91(362), pages 515-526, June.
    8. Ravallion, Martin, 1996. "Issues in Measuring and Modelling Poverty," Economic Journal, Royal Economic Society, vol. 106(438), pages 1328-1343, September.
    9. Coulter, Fiona A E & Cowell, Frank A & Jenkins, Stephen P, 1992. "Equivalence Scale Relativities and the Extent of Inequality and Poverty," Economic Journal, Royal Economic Society, vol. 102(414), pages 1067-1082, September.
    10. Martina Celidoni, 2015. "Decomposing Vulnerability to Poverty," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(1), pages 59-74, March.
    11. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
    12. Zheng, Buhong, 1997. "Aggregate Poverty Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 11(2), pages 123-162, June.
    13. Buhong Zheng, 1997. "Aggregate Poverty Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 11(2), pages 123-162, June.
    14. Shorrocks, Anthony F, 1995. "Revisiting the Sen Poverty Index," Econometrica, Econometric Society, vol. 63(5), pages 1225-1230, September.
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    Cited by:

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    2. Yhesaem Park & Almas Heshmati, 2019. "The Effects of Labor Market Characteristics on Women’s Poverty in Korea," Economies, MDPI, vol. 7(4), pages 1-16, November.

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    More about this item

    Keywords

    poverty incidence; poverty gap; poverty severity; lifetime work experience; gap years between jobs; Korea;
    All these keywords.

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • N35 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Asia including Middle East

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