IDEAS home Printed from https://ideas.repec.org/p/dls/wpaper/0018.html

Assessing Benefit-Incidence Results Using Decompositions: The Case of Health Policy in Argentina

Author

Listed:
  • Leonardo Gasparini

    (Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS) FCE - UNLP)

Abstract

This paper discusses the use of aggregate and microeconometric decompositions to compare benefit-incidence results over time and across regions. Decompositions are applied to explore changes in targeting in health policies directed to pregnant women and children under 4 in Argentina. The results suggest that although health public programs are pro-poor, incidence changes in the last 5 years have been pro-rich due to two different factors: a substantial reduction in the fertility rate of poor couples, and an increase in the use of public facilities by wealthier households, likely triggered by the economic crisis that Argentina has suffered since 1998.

Suggested Citation

  • Leonardo Gasparini, 2005. "Assessing Benefit-Incidence Results Using Decompositions: The Case of Health Policy in Argentina," CEDLAS, Working Papers 0018, CEDLAS, Universidad Nacional de La Plata.
    • Handle: RePEc:dls:wpaper:0018
    as

    Download full text from publisher

    File URL: http://cedlas.econo.unlp.edu.ar/archivos_upload/doc_cedlas18.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2002. "Removing the Veil of Ignorance in Assessing the Distributional Impacts of Social Policies," NBER Working Papers 8840, National Bureau of Economic Research, Inc.
    2. Angus Deaton & Salman Zaidi, 2002. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," World Bank Publications, The World Bank, number 14101, April.
    3. Mills, Jeffrey A & Zandvakili, Sourushe, 1997. "Statistical Inference via Bootstrapping for Measures of Inequality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 133-150, March-Apr.
    4. Walter Sosa Escudero & Leonardo Gasparini, 2000. "A note on the Statistical Significance of Changes in Inequality," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(1), pages 111-122, January-J.
    5. van de Walle, Dominique, 1998. "Assessing the welfare impacts of public spending," World Development, Elsevier, vol. 26(3), pages 365-379, March.
    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. Sebastián Galiani & Leonardo Gasparini, 2012. "El Impacto Distributivo de las Políticas Sociales," CEDLAS, Working Papers 0130, CEDLAS, Universidad Nacional de La Plata.
    2. Ricardo Bebczuk, 2009. "SME Access to Credit in Guatemala and Nicaragua: Challenging Conventional Wisdom with New Evidence," CEDLAS, Working Papers 0080, CEDLAS, Universidad Nacional de La Plata.
    3. World Bank, 2008. "Nicaragua - Poverty Assessment : Volume 3. Background Paper," World Bank Publications - Reports 8101, The World Bank Group.

    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. Klasen, Stephan & Reimers, Malte, 2017. "Looking at Pro-Poor Growth from an Agricultural Perspective," World Development, Elsevier, vol. 90(C), pages 147-168.
    2. Steven Prus, 2007. "Age, SES, and Health: A Population Level Analysis of Health Inequalities over the Life Course," Social and Economic Dimensions of an Aging Population Research Papers 181, McMaster University.
    3. Hernán Winkler, 2005. "Monitoring the Socio-Economic Conditions in Uruguay," CEDLAS, Working Papers 0026, CEDLAS, Universidad Nacional de La Plata.
    4. Mahmud, Mahreen & Riley, Emma, 2021. "Household response to an extreme shock: Evidence on the immediate impact of the Covid-19 lockdown on economic outcomes and well-being in rural Uganda," World Development, Elsevier, vol. 140(C).
    5. Akanksha Srivastava & Sanjay Mohanty, 2012. "Poverty Among Elderly in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 109(3), pages 493-514, December.
    6. Belhadj, Besma & Limam, Mohamed, 2012. "Unidimensional and multidimensional fuzzy poverty measures: New approach," Economic Modelling, Elsevier, vol. 29(4), pages 995-1002.
    7. Jose Cuesta & Jon Jellema & Lucia Ferrone, 2022. "Correction to: Fiscal Policy, Multidimensional Poverty, and Equity in Uganda: A Child-Lens Analysis," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(1), pages 571-572, February.
    8. Eva Rueckert, 2003. "Bootstrapping the European Gender Wage Gap," Working Papers E04, Department of Economics, School of Management and Languages, Heriot Watt University.
    9. repec:dgr:rugggd:gd-114 is not listed on IDEAS
    10. Omar Arias & Gustavo Yamada & Luis Tejerina, 2004. "Education, family background and racial earnings inequality in Brazil," International Journal of Manpower, Emerald Group Publishing Limited, vol. 25(3/4), pages 355-374, April.
    11. Hai Zhong, 2010. "The impact of missing data in the estimation of concentration index: a potential source of bias," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(3), pages 255-266, June.
    12. Timothy Besley & Robin Burgess & Imran Rasul, 2003. "Benchmarking government provision of social safety nets," The Social Policy and Labor Discussion Paper Series 27870, The World Bank.
    13. Satis Devkota & Mukti Upadhyay, 2013. "Agricultural Productivity and Poverty Reduction in Nepal," Review of Development Economics, Wiley Blackwell, vol. 17(4), pages 732-746, November.
    14. Emily Schmidt & Rachel Gilbert & Brian Holtemeyer & Kristi Mahrt, 2021. "Poverty analysis in the lowlands of Papua New Guinea underscores climate vulnerability and need for income flexibility," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 171-191, January.
    15. Akwasi Ampofo, 2021. "Oil at work: natural resource effects on household well-being in Ghana," Empirical Economics, Springer, vol. 60(2), pages 1013-1058, February.
    16. Anupama, G V & Haragopal, V V, . "Influence of assets over dynasties in semi-arid India: econometric analysis using micro level panel data," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 35(Conferenc).
    17. Anna D'Souza & Dean Jolliffe, 2012. "Rising Food Prices and Coping Strategies: Household-level Evidence from Afghanistan," Journal of Development Studies, Taylor & Francis Journals, vol. 48(2), pages 282-299, August.
    18. Rodriguez Takeuchi,Laura Kiku & Atamanov,Aziz, 2021. "Welfare and Distributional Impacts of Inflation and the COVID-19 Outbreak in the Islamic Republic of Iran," Policy Research Working Paper Series 9558, The World Bank.
    19. Sami Bibi & Mustapha K. Nabli, 2009. "Income Inequality In The Arab Region: Data And Measurement, Patterns And Trends," Middle East Development Journal (MEDJ), World Scientific Publishing Co. Pte. Ltd., vol. 1(02), pages 275-314.
    20. Lynch,Catherine & Singh,Ashna & Zhang,Yan F., 2023. "Towards a More Nuanced Approach to Measuring Housing Affordability : Evidence from Pakistan," Policy Research Working Paper Series 10450, The World Bank.
    21. Rinshu Dwivedi & Jalandhar Pradhan & Ramesh Athe, 2021. "Measuring catastrophe in paying for healthcare: A comparative methodological approach by using National Sample Survey, India," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(5), pages 1887-1915, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • D3 - Microeconomics - - Distribution
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

    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:dls:wpaper:0018. 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: Ana Pacheco (email available below). General contact details of provider: https://edirc.repec.org/data/funlpar.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.