IDEAS home Printed from https://ideas.repec.org/a/col/000107/009431.html
   My bibliography  Save this article

Statistical inference for testing Gini Coefficients: An application for Colombia

Author

Listed:
  • Luis Fernando Gamboa
  • Andrés García-Suaza
  • Jesús Otero

Abstract

This paper uses Colombian household survey data collected over the 1984-2005 period to estimateGini coefficients and their corresponding standard errors. We find a statistically significant increase in wage income inequality following the adoption of the liberalization measures during the early 1990s,and mixed evidence from the recovery years that followed the economic recession during the late1990s. We also find that in several cases the observed differences in the Gini coefficients acrosscities have not been statistically significant.

Suggested Citation

  • Luis Fernando Gamboa & Andrés García-Suaza & Jesús Otero, 2010. "Statistical inference for testing Gini Coefficients: An application for Colombia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 28(62), pages 226-238, June.
    • Handle: RePEc:col:000107:009431
    DOI: 10.32468/Espe.6206
    as

    Download full text from publisher

    File URL: https://doi.org/10.32468/Espe.6206
    Download Restriction: no
    File URL: https://libkey.io/10.32468/Espe.6206?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Javier A. Birchenall, 2007. "Income distribution and macroeconomics in Colombia," Journal of Income Distribution, Ad libros publications inc., vol. 16(2), pages 6-24, June.
    2. Cunningham, Wendy & Jacobsen, Joyce P., 2008. "Earnings inequality within and across gender, racial, and ethnic groups in four Latin American Countries," Policy Research Working Paper Series 4591, The World Bank.
    3. Davidson, Russell, 2009. "Reliable inference for the Gini index," Journal of Econometrics, Elsevier, vol. 150(1), pages 30-40, May.
    4. Birchenall, Javier A., 2001. "Income distribution, human capital and economic growth in Colombia," Journal of Development Economics, Elsevier, vol. 66(1), pages 271-287, October.
    5. Baer, Werner & Maloney, William, 1997. "Neoliberalism and income distribution in Latin America," World Development, Elsevier, vol. 25(3), pages 311-327, March.
    6. Arango Luis Eduardo & Andrés Felipe Garcia & Carlos Esteban Posada, 2008. "La metodología de la Encuesta Continua de Hogares y el empalme de las series del mercado laboral urbano de Colombia," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, May.
    Full references (including those not matched with items on IDEAS)

    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. repec:ilo:ilowps:366690 is not listed on IDEAS
    2. Wang, Zheng-Xin & Jv, Yue-Qi, 2023. "Revisiting income inequality among households: New evidence from the Chinese Household Income Project," China Economic Review, Elsevier, vol. 81(C).
    3. Bou Dib, Jonida & Alamsyah, Zulkifli & Qaim, Matin, 2018. "Land-use change and income inequality in rural Indonesia," Forest Policy and Economics, Elsevier, vol. 94(C), pages 55-66.
    4. Francesco Andreoli & Eugenio Peluso, 2016. "So close yet so unequal: Reconsidering spatial inequality in U.S. cities," Working Papers 21/2016, University of Verona, Department of Economics.
    5. Echavarría-Soto, Juan José & López, Enrique & Ocampo, Sergio & Rodríguez-Niño, Norberto, 2012. "Choques, instituciones laborales y desempleo en Colombia," Chapters, in: Arango-Thomas, Luis Eduardo & Hamann-Salcedo, Franz Alonso (ed.), El mercado de trabajo en Colombia : hechos, tendencias e instituciones, chapter 18, pages 753-794, Banco de la Republica de Colombia.
    6. William E. Griffiths and Gholamreza Hajargasht, 2012. "GMM Estimation of Mixtures from Grouped Data:," Department of Economics - Working Papers Series 1148, The University of Melbourne.
    7. Xiaofeng Lv & Gupeng Zhang & Guangyu Ren, 2017. "Gini index estimation for lifetime data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 275-304, April.
    8. Majumder, Rajarshi, 2008. "Globalisation and Employment: A Prelude," MPRA Paper 12814, University Library of Munich, Germany.
    9. de Figueiredo, Erik Alencar & Ziegelmann, Flávio Augusto, 2010. "Estimating income mobility using census data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4897-4903.
    10. Karoly, Lynn & Schröder, Carsten, 2015. "Fast methods for jackknifing inequality indices," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 37(1), pages 125-138.
    11. Silvia De Nicol`o & Maria Rosaria Ferrante & Silvia Pacei, 2021. "Mind the Income Gap: Bias Correction of Inequality Estimators in Small-Sized Samples," Papers 2107.08950, arXiv.org, revised May 2023.
    12. Fernando MESA PARRA, 2001. "Strategic Trade Policy and Exchange Rate Uncertainty," Archivos de Economía 3527, Departamento Nacional de Planeación.
    13. Gersbach, Hans & Siemers, Lars-H. R., 2010. "Land Reforms And Economic Development," Macroeconomic Dynamics, Cambridge University Press, vol. 14(4), pages 527-547, September.
    14. Jonas Klos & Tim Krieger & Sven Stöwhase, 2022. "Measuring intra-generational redistribution in PAYG pension schemes," Public Choice, Springer, vol. 190(1), pages 53-73, January.
    15. Diego F. Angel‐Urdinola & Quentin Wodon, 2004. "The Impact on Inequality of Raising the Minimum Wage: Gap‐narrowing and Reranking Effects," LABOUR, CEIS, vol. 18(2), pages 317-327, June.
    16. Ricardo Bebczuk & Arturo Galindo & Ugo Panizza, 2010. "An Evaluation of the Contractionary Devaluation Hypothesis," Palgrave Macmillan Books, in: Hadi Salehi Esfahani & Giovanni Facchini & Geoffrey J. D. Hewings (ed.), Economic Development in Latin America, chapter 8, pages 102-117, Palgrave Macmillan.
    17. Ran Wei & Elijah Knaap & Sergio Rey, 2023. "American Community Survey (ACS) Data Uncertainty and the Analysis of Segregation Dynamics," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(1), pages 1-23, February.
    18. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Silva Quintero, Edgar, 2016. "How Forced Displacements Caused by a Violent Conflict Affect Wages in Colombia," IZA Discussion Papers 9926, Institute of Labor Economics (IZA).
    19. Diego F. ANGEL URDINOLA & Quentin WODON, 2003. "Relative labor supply and the gender wage Gap: Evidence for Colombia and the United States," Archivos de Economía 3452, Departamento Nacional de Planeación.
    20. Francesco Andreoli & Eugenio Peluso, 2021. "Inference for the neighbourhood inequality index," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(3), pages 313-332, July.
    21. Sudheesh K. Kattumannil & N. Sreelakshmi & N. Balakrishnan, 2022. "Non-Parametric Inference for Gini Covariance and its Variants," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 790-807, August.

    More about this item

    Keywords

    inequality; Gini coefficient; bootstrap; Colombia.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

    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:col:000107:009431. 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: Espe (email available below). General contact details of provider: https://edirc.repec.org/data/brcgvco.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.