IDEAS home Printed from https://ideas.repec.org/p/ila/ilades/inv186.html
   My bibliography  Save this paper

Inequality at Low Levels of Aggregation in Chile

Author

Listed:

Abstract

Despite success in reducing poverty over the last twenty years, inequality in Chile has remained virtually unchanged, making Chile one of the least equal countries in the world. High levels of inequality have been shown to hamper further reductions in poverty as well as economic growth, and local inequality has been shown to affect such outcomes as violence and health. The study of inequality at the local level is thus crucial for understanding the economic well-being of a country. Local measures of inequality have been difficult to obtain, but recent theoretical advances have enabled the combination of survey and census data to generate estimates of inequality that are robust at disaggregated geographic levels. In this paper, we employ this methodology to produce consistent and precise estimates of inequality for every county in Chile. We find considerable heterogeneity in county-level estimates of inequality, with Gini coefficients ranging from 0.41 to 0.63. An appendix includes estimated inequality for each county so the broader research community may assess the effect of local inequality on a broad range out outcomes, as well as analyze the determinants of inequality itself.

Suggested Citation

  • Claudio Agostini & Phillip Brown, 2007. "Inequality at Low Levels of Aggregation in Chile," ILADES-UAH Working Papers inv186, Universidad Alberto Hurtado/School of Economics and Business.
  • Handle: RePEc:ila:ilades:inv186
    as

    Download full text from publisher

    File URL: http://fen.uahurtado.cl/wp-content/uploads/2010/07/inv186.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ravallion, Martin, 1997. "Can high-inequality developing countries escape absolute poverty?," Economics Letters, Elsevier, vol. 56(1), pages 51-57, September.
    2. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
    3. Chris Elbers & Peter F. Lanjouw & Johan A. Mistiaen & Berk Özler & Ken Simler, 2004. "On the Unequal Inequality of Poor Communities," The World Bank Economic Review, World Bank Group, vol. 18(3), pages 401-421.
    4. Gindling, T. H. & Robbins, Donald, 2001. "Patterns and Sources of Changing Wage Inequality in Chile and Costa Rica During Structural Adjustment," World Development, Elsevier, vol. 29(4), pages 725-745, April.
    5. Elbers, Chris & Lanjouw, Peter & Leite, Phillippe George, 2008. "Brazil within Brazil : testing the poverty map methodology in Minas Gerais," Policy Research Working Paper Series 4513, The World Bank.
    6. Ferreira, Francisco H G & Litchfield, Julie A, 1999. "Calm after the Storms: Income Distribution and Welfare in Chile, 1987-94," The World Bank Economic Review, World Bank Group, vol. 13(3), pages 509-538, September.
    7. Ravallion, Martin, 2004. "Pro-poor growth : A primer," Policy Research Working Paper Series 3242, The World Bank.
    8. Demombynes, Gabriel & Ozler, Berk, 2005. "Crime and local inequality in South Africa," Journal of Development Economics, Elsevier, vol. 76(2), pages 265-292, April.
    9. Beyer, Harald & Rojas, Patricio & Vergara, Rodrigo, 1999. "Trade liberalization and wage inequality," Journal of Development Economics, Elsevier, vol. 59(1), pages 103-123, June.
    10. Elbers, Chris & Fujii, Tomoki & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2007. "Poverty alleviation through geographic targeting: How much does disaggregation help?," Journal of Development Economics, Elsevier, vol. 83(1), pages 198-213, May.
    11. Yoko Kijima & Lanjouw, Peter, 2003. "Poverty in India during the1990s - a regional perspective," Policy Research Working Paper Series 3141, The World Bank.
    12. Hentschel, Jesko, et al, 2000. "Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty: A Case Study of Ecuador," The World Bank Economic Review, World Bank Group, vol. 14(1), pages 147-165, January.
    13. Dante Contreras, 2003. "Poverty and Inequality in a Rapid Growth Economy: Chile 1990-96," Journal of Development Studies, Taylor & Francis Journals, vol. 39(3), pages 181-200.
    14. Rómulo A.Chumacero & Ricardo D.Paredes, 2005. "Characterizing income distribution for poverty and inequality analysis," Estudios de Economia, University of Chile, Department of Economics, vol. 32(1 Year 20), pages 97-117, June.
    15. Yoram Amiel & John Creedy & Stan Hurn, 1999. "Measuring Attitudes Towards Inequality," Scandinavian Journal of Economics, Wiley Blackwell, vol. 101(1), pages 83-96, March.
    16. Raimundo Soto & Aristides Torche, 2004. "Spatial Inequality in Chile," Econometric Society 2004 Latin American Meetings 241, Econometric Society.
    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. Michelle Mieres Brevis, 2020. "La dinámica de la desigualdad en Chile: Una mirada regional," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 35(2), pages 91-133, October.

    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. Claudio A. Agostini & Philip H. Brown, 2010. "Local Distributional Effects Of Government Cash Transfers In Chile," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(2), pages 366-388, June.
    2. Agostini, Claudio A. & Brown, Philip H. & Roman, Andrei C., 2010. "Poverty and Inequality Among Ethnic Groups in Chile," World Development, Elsevier, vol. 38(7), pages 1036-1046, July.
    3. Claudio Agostini & Phillip Brown, 2007. "Desigualdad geográfica en Chile," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 22(1), pages 3-33, June.
    4. Claudio Agostini & Phillip Brown & Andrei Roman, 2008. "Poverty Estimating Poverty for Indigenous Groups by Matching Census and Survey Data," ILADES-UAH Working Papers inv207, Universidad Alberto Hurtado/School of Economics and Business.
    5. Claudio A. Agostini, & Philip H. Brown, & Andrei Roman, 2008. "Estimating Poverty for Indigenous Groups in Chile by Matching Census and Survey Data," William Davidson Institute Working Papers Series wp932, William Davidson Institute at the University of Michigan.
    6. Claudio Agostini & Phillip Brown, 2007. "Spatial Inequality in Chile," ILADES-UAH Working Papers inv178, Universidad Alberto Hurtado/School of Economics and Business.
    7. Tomoki Fujii, 2013. "Geographic decomposition of inequality in health and wealth: evidence from Cambodia," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(3), pages 373-392, September.
    8. Sebastian Levine & Benjamin Roberts, 2013. "Robust Estimates of Changes in Poverty and Inequality in Post-Independence Namibia," South African Journal of Economics, Economic Society of South Africa, vol. 81(2), pages 167-191, June.
    9. Jesse Naidoo, 2009. "Finite-Sample Bias and Inconsistency in the Estimation of Poverty Maps," SALDRU Working Papers 36, Southern Africa Labour and Development Research Unit, University of Cape Town.
    10. Lang, Corey & Barrett, Christopher B. & Naschold, Felix, 2013. "Targeting Maps: An Asset-Based Approach to Geographic Targeting," World Development, Elsevier, vol. 41(C), pages 232-244.
    11. Channing Arndt & Azhar M. Hussain & Vincenzo Salvucci & Finn Tarp & Lars Peter Østerdal, 2016. "Poverty Mapping Based on First‐Order Dominance with an Example from Mozambique," Journal of International Development, John Wiley & Sons, Ltd., vol. 28(1), pages 3-21, January.
    12. Graw, Valerie & Husmann, Christine Ladenburger, 2012. "Mapping Marginality Hotspots – Geographical Targeting for Poverty Reduction," Working Papers 147917, University of Bonn, Center for Development Research (ZEF).
    13. Arouri, Mohamed & Nguyen, Cuong & Youssef, Adel Ben, 2015. "Natural Disasters, Household Welfare, and Resilience: Evidence from Rural Vietnam," World Development, Elsevier, vol. 70(C), pages 59-77.
    14. Emwanu, Thomas & Hoogeveen, Johannes G. & Okiira Okwi, Paul, 2006. "Updating Poverty Maps with Panel Data," World Development, Elsevier, vol. 34(12), pages 2076-2088, December.
    15. Elbers, Chris & Fujii, Tomoki & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2007. "Poverty alleviation through geographic targeting: How much does disaggregation help?," Journal of Development Economics, Elsevier, vol. 83(1), pages 198-213, May.
    16. Luc Christiaensen & Peter Lanjouw & Jill Luoto & David Stifel, 2012. "Small area estimation-based prediction methods to track poverty: validation and applications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(2), pages 267-297, June.
    17. Gibson, John, 2018. "Forest Loss and Economic Inequality in the Solomon Islands: Using Small-Area Estimation to Link Environmental Change to Welfare Outcomes," Ecological Economics, Elsevier, vol. 148(C), pages 66-76.
    18. World Bank, 2004. "Morocco - Poverty Report : Strengthening Policy by Identifying the Geographic Dimension of poverty," World Bank Publications - Reports 14420, The World Bank Group.
    19. Modrego, Félix & Berdegué, Julio A., 2015. "A Large-Scale Mapping of Territorial Development Dynamics in Latin America," World Development, Elsevier, vol. 73(C), pages 11-31.
    20. Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2014. "Using repeated cross-sections to explore movements into and out of poverty," Journal of Development Economics, Elsevier, vol. 107(C), pages 112-128.

    More about this item

    Keywords

    inequality; poverty mapping; government subsidies; cash transfers; Chile;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

    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:ila:ilades:inv186. See general information about how to correct material in RePEc.

    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: Mauricio Tejada (email available below). General contact details of provider: https://edirc.repec.org/data/deilacl.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.