IDEAS home Printed from https://ideas.repec.org/p/inq/inqwps/ecineq2013-288.html
   My bibliography  Save this paper

Accounting for Heterogeneity in Growth Incidence in Cameroon Using Recentered Influence Function Regression

Author

Listed:
  • B. Essama-Nssah

    (Independent Consultant (Former World Bank Senior Economist))

  • Paul Saumik

    (Osaka University)

  • Léandre Bassolé

    (African Development Bank)

Abstract

This paper frames growth incidence analysis within the logic of social impact evaluation understood as an assessment of variations in individual and social outcomes attributable to shocks and policies. It uses recentered influence function (RIF) regression to link the growth incidence curve (GIC) to household characteristics and perform counterfactual decomposition à la Oaxaca-Blinder to identify sources of variation in the distribution of consumption expenditure in Cameroon in 2001-2007. We find that the structural effect is driven mostly by the sector of employment and geography and is the main driver of the observed pattern of growth. The composition effect accounts for the lion’s share of the observed variation in the social impact of growth. In particular, that effect tends to reduce poverty while the structural effect tends to increase it. This conclusion is robust with respect to the choice of poverty measures and RIF regression models.

Suggested Citation

  • B. Essama-Nssah & Paul Saumik & Léandre Bassolé, 2013. "Accounting for Heterogeneity in Growth Incidence in Cameroon Using Recentered Influence Function Regression," Working Papers 288, ECINEQ, Society for the Study of Economic Inequality.
  • Handle: RePEc:inq:inqwps:ecineq2013-288
    as

    Download full text from publisher

    File URL: http://www.ecineq.org/milano/WP/ECINEQ2013-288.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2006. "What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments," American Economic Review, American Economic Association, vol. 96(4), pages 988-1012, September.
    2. François Bourguignon & Francisco Ferreira & Phillippe Leite, 2008. "Beyond Oaxaca–Blinder: Accounting for differences in household income distributions," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 117-148, June.
    3. Ravallion, Martin, 2001. "Growth, Inequality and Poverty: Looking Beyond Averages," World Development, Elsevier, vol. 29(11), pages 1803-1815, November.
    4. Commission on Growth and Development, 2008. "The Growth Report : Strategies for Sustained Growth and Inclusive Development," World Bank Publications, The World Bank, number 6507.
    5. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    6. Zheng, Buhong, 2000. "Minimum Distribution-Sensitivity, Poverty Aversion, and Poverty Orderings," Journal of Economic Theory, Elsevier, vol. 95(1), pages 116-137, November.
    7. Zheng, Buhong, 2000. "Poverty Orderings," Journal of Economic Surveys, Wiley Blackwell, vol. 14(4), pages 427-466, September.
    8. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    9. Michael Grimm, 2007. "Removing the anonymity axiom in assessing pro-poor growth," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(2), pages 179-197, August.
    10. Milgrom,Paul, 2004. "Putting Auction Theory to Work," Cambridge Books, Cambridge University Press, number 9780521536721, May.
    11. Nguyen, Binh T. & Albrecht, James W. & Vroman, Susan B. & Westbrook, M. Daniel, 2007. "A quantile regression decomposition of urban-rural inequality in Vietnam," Journal of Development Economics, Elsevier, vol. 83(2), pages 466-490, July.
    12. François Bourguignon, 2010. "Non-anonymous Growth Incidence Curves, Income Mobility and Social Welfare Dominance : a theoretical framework with an application to the Global Economy," PSE Working Papers halshs-00966324, HAL.
    13. Essama-Nssah, B., 2005. "A unified framework for pro-poor growth analysis," Economics Letters, Elsevier, vol. 89(2), pages 216-221, November.
    14. Cowell, Frank A. & Victoria-Feser, Maria-Pia, 1996. "Poverty measurement with contaminated data: A robust approach," European Economic Review, Elsevier, vol. 40(9), pages 1761-1771, December.
    15. Grosse, Melanie & Harttgen, Kenneth & Klasen, Stephan, 2008. "Measuring Pro-Poor Growth in Non-Income Dimensions," World Development, Elsevier, vol. 36(6), pages 1021-1047, June.
    16. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    17. B. Essama‐Nssah & Peter J. Lambert, 2009. "Measuring Pro‐Poorness: A Unifying Approach With New Results," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(3), pages 752-778, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ferreira, Francisco H. G. & Firpo, Sergio & Galvao, Antonio F., 2017. "Estimation and Inference for Actual and Counterfactual Growth Incidence Curves," IZA Discussion Papers 10473, Institute of Labor Economics (IZA).
    2. Daniel Dugger & Peter Lambert, 2014. "The 1913 paper of René Gâteaux, upon which the modern-day influence function is based," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(1), pages 149-152, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Essama-Nssah, B., 2012. "Identification of sources of variation in poverty outcomes," Policy Research Working Paper Series 5954, The World Bank.
    2. Buhong Zheng, 2011. "Consistent comparison of pro-poor growth," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 37(1), pages 61-79, June.
    3. Florent Bresson & Jean-Yves Duclos & Flaviana Palmisano, 2019. "Intertemporal pro-poorness," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 52(1), pages 65-96, January.
    4. Flaviana Palmisano & Dirk Van de gaer, 2016. "History-dependent growth incidence: a characterization and an application to the economic crisis in Italy," Oxford Economic Papers, Oxford University Press, vol. 68(2), pages 585-603.
    5. B. Essama-Nssah & Peter J. Lambert, 2013. "Counterfactual decomposition of pro-poorness using influence functions," Working Papers 309, ECINEQ, Society for the Study of Economic Inequality.
    6. B. Essama-Nssah & Peter J. Lambert, 2016. "Counterfactual Decomposition of Pro-Poorness Using Influence Functions," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 17(1), pages 74-92, February.
    7. Essama-Nssah, , B. & Bassol3, Leandre & Paul, Saumik, 2010. "Accounting for heterogeneity in growth incidence in Cameroon," Policy Research Working Paper Series 5464, The World Bank.
    8. B. Essama‐Nssah & Peter J. Lambert, 2009. "Measuring Pro‐Poorness: A Unifying Approach With New Results," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(3), pages 752-778, September.
    9. Hassine, Nadia Belhaj, 2015. "Economic Inequality in the Arab Region," World Development, Elsevier, vol. 66(C), pages 532-556.
    10. Essama-Nssah, B. & Bassole, Leandre, 2010. "A counterfactual analysis of the poverty impact of economic growth in Cameroon," Policy Research Working Paper Series 5249, The World Bank.
    11. Thomas Groll & Peter J. Lambert, 2013. "The Pro-Poorness, Growth and Inequality Nexus: Some Findings From a Simulation Study," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(4), pages 776-784, December.
    12. Flaviana Palmisano, 2018. "Evaluating Patterns of Income Growth when Status Matters: A Robust Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(1), pages 147-169, March.
    13. Juan Manuel del Pozo Segura, 2017. "Has the Gender Wage Gap been Reduced during the 'Peruvian Growth Miracle?' A Distributional Approach," Documentos de Trabajo / Working Papers 2017-442, Departamento de Economía - Pontificia Universidad Católica del Perú.
    14. Higgins, Sean & Lustig, Nora, 2016. "Can a poverty-reducing and progressive tax and transfer system hurt the poor?," Journal of Development Economics, Elsevier, vol. 122(C), pages 63-75.
    15. Arup Bose & Satya Chakravarty & Conchita D’Ambrosio, 2014. "Richness orderings," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(1), pages 5-22, March.
    16. Trinh Thi, Huong & Simioni, Michel & Thomas-Agnan, Christine, 2018. "Decomposition of changes in the consumption of macronutrients in Vietnam between 2004 and 2014," Economics & Human Biology, Elsevier, vol. 31(C), pages 259-275.
    17. Vito Peragine & Flaviana Palmisano & Paolo Brunori, 2014. "Economic Growth and Equality of Opportunity," World Bank Economic Review, World Bank Group, vol. 28(2), pages 247-281.
    18. Jenkins, Stephen P. & van Kerm, Philippe, 2011. "Trends in individual income growth: measurement Methods and British evidence," LSE Research Online Documents on Economics 58209, London School of Economics and Political Science, LSE Library.
    19. Dirk Van de gaer & Flaviana Palmisano, 2018. "Growth, Mobility and Social Welfare," SOEPpapers on Multidisciplinary Panel Data Research 988, DIW Berlin, The German Socio-Economic Panel (SOEP).
    20. Hassine, Nadia Belhaj, 2014. "Economic inequality in the Arab region," Policy Research Working Paper Series 6911, The World Bank.

    More about this item

    Keywords

    Cameroon; counterfactual analysis; economic growth; growth incidence curve; inequality; Oaxaca-Blinder decomposition; poverty; recentered influence function (RIF) regression; quantile regression; social evaluation;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inq:inqwps:ecineq2013-288. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/ecineea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Maria Ana Lugo (email available below). General contact details of provider: https://edirc.repec.org/data/ecineea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.