IDEAS home Printed from https://ideas.repec.org/a/ere/journl/v32y2013i2id58.html

Efectos de los ingresos no reportados en el nivel y tendencia de la pobreza laboral en México

Author

Listed:
  • Raymundo M. Campos Vázquez

Abstract

En México, en los últimos años, la proporción de trabajadores remunerados que no declara ingresos ha aumentado. Si la población que no declara ingresos es una muestra aleatoria o bien la composición de la misma no cambia, esto no afectaría la tendencia en el ingreso promedio de la población o en las mediciones de pobreza y desigualdad. Sin embargo, eso no se cumple para México, ya que la proporción con ingresos inválidos y educación superior era de 20% en 2005 y para 2012 era de 39%. En este artículo, se analiza la corrección de ingresos inválidos por medio de métodos de imputación. Se encuentra que el cálculo del ingreso es robusto para los diferentes métodos. Para 2012, se encuentra que el ingreso individual promedio con imputación es mayor en 4% que el reportado, y la desigualdad con imputación es 2.4% mayor que la observada. Asimismo, mientras que el ingreso familiar per cápita reportado en el periodo 2005-2012 ha caído cerca de 15% en términos reales, el ingreso familiar per cápita verdadero no muestra cambios sustanciales. La medición oficial de la pobreza laboral indica un crecimiento de la misma de 42% a 53%, en el periodo 2005-2012; pero la pobreza con ingresos imputados aumentó de 36% a 40%, un incremento mucho menor al observado. Los resultados sugieren la conveniencia de que las instituciones tomen en cuenta los ingresos no reportados, y que reporten estadísticas tanto con como sin corrección por esos ingresos. Clasificación JEL: C10; D63; I30; I32; O54.

Suggested Citation

  • Raymundo M. Campos Vázquez, 2013. "Efectos de los ingresos no reportados en el nivel y tendencia de la pobreza laboral en México," Ensayos Revista de Economía, Universidad Autónoma de Nuevo León, vol. 32(2), pages 23-54, November.
    • Handle: RePEc:ere:journl:v:32:y:2013:i:2:id:58
    DOI: 10.29105/ensayos32.2-2
    as

    Download full text from publisher

    File URL: https://ensayos.uanl.mx/index.php/ensayos/article/view/58
    File Function: Abstract page
    Download Restriction: no
    File URL: https://ensayos.uanl.mx/index.php/ensayos/article/download/58/44
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.29105/ensayos32.2-2?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
    ---><---

    References listed on IDEAS

    as
    1. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    2. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 300-301, July.
    3. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 287-296, July.
    4. Rebecca R. Andridge & Roderick J. A. Little, 2010. "A Review of Hot Deck Imputation for Survey Non‐response," International Statistical Review, International Statistical Institute, vol. 78(1), pages 40-64, April.
    5. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    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. Raymundo M. Campos-Vazquez, 2013. "Efectos de los ingresos no reportados en el nivel y tendencia de la pobreza laboral en México," Serie documentos de trabajo del Centro de Estudios Económicos 2013-04, El Colegio de México, Centro de Estudios Económicos.
    2. repec:ere:journl:v:xxxii:y:2013:i:2:p:23-54 is not listed on IDEAS
    3. Chenyang Gu & Roee Gutman, 2017. "Combining item response theory with multiple imputation to equate health assessment questionnaires," Biometrics, The International Biometric Society, vol. 73(3), pages 990-998, September.
    4. Chia-Ning Wang & Roderick Little & Bin Nan & Siobán D. Harlow, 2011. "A Hot-Deck Multiple Imputation Procedure for Gaps in Longitudinal Recurrent Event Histories," Biometrics, The International Biometric Society, vol. 67(4), pages 1573-1582, December.
    5. Mark E. McGovern, 2019. "How much does birth weight matter for child health in developing countries? Estimates from siblings and twins," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 3-22, January.
    6. Adel Bosch & Steven F. Koch, 2021. "Individual and Household Debt: Does Imputation Choice Matter?," Working Papers 202141, University of Pretoria, Department of Economics.
    7. Yanqing Sun & Li Qi & Fei Heng & Peter B. Gilbert, 2020. "A hybrid approach for the stratified mark‐specific proportional hazards model with missing covariates and missing marks, with application to vaccine efficacy trials," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 791-814, August.
    8. Jonathan Hambur & Gianni La Cava, 2018. "Do Interest Rates Affect Business Investment? Evidence from Australian Company-level Data," RBA Research Discussion Papers rdp2018-05, Reserve Bank of Australia.
    9. Sullivan, Danielle & Andridge, Rebecca, 2015. "A hot deck imputation procedure for multiply imputing nonignorable missing data: The proxy pattern-mixture hot deck," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 173-185.
    10. Ralf Münnich & Siegfried Gabler & Christian Bruch & Jan Pablo Burgard & Tobias Enderle & Jan-Philipp Kolb & Thomas Zimmermann, 2015. "Tabellenauswertungen im Zensus unter Berücksichtigung fehlender Werte," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 9(3), pages 269-304, December.
    11. Jana Emmenegger & Ralf Münnich & Jannik Schaller, 2022. "Evaluating Data Fusion Methods to Improve Income Modelling," Research Papers in Economics 2022-03, University of Trier, Department of Economics.
    12. Inkmann, Joachim, 2001. "Accounting for Nonresponse Heterogeneity in Panel Data," CoFE Discussion Papers 01/03, University of Konstanz, Center of Finance and Econometrics (CoFE).
    13. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Other publications TiSEM 65401dae-613b-4e10-a8ae-c, Tilburg University, School of Economics and Management.
    14. Mark Pennington & Manuel Gomes & Cam Donaldson, 2017. "Handling Protest Responses in Contingent Valuation Surveys," Medical Decision Making, , vol. 37(6), pages 623-634, August.
    15. Anika Rasner & Joachim R. Frick & Markus M. Grabka, 2013. "Statistical Matching of Administrative and Survey Data," Sociological Methods & Research, , vol. 42(2), pages 192-224, May.
    16. Kristian Kleinke, 2017. "Multiple Imputation Under Violated Distributional Assumptions: A Systematic Evaluation of the Assumed Robustness of Predictive Mean Matching," Journal of Educational and Behavioral Statistics, , vol. 42(4), pages 371-404, August.
    17. Verbeek, M. & Nijman, T., 1992. "Incomplete Panels and Selection Bias: A Survey," Papers 9207, Tilburg - Center for Economic Research.
    18. Shu Yang & Jae Kwang Kim, 2020. "Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(3), pages 839-861, September.
    19. Ichev, Riste & Valentinčič, Aljoša, 2025. "The effect of impact investing on performance of private firms," Research in International Business and Finance, Elsevier, vol. 73(PA).
    20. Gerko Vink & Stef van Buuren, 2013. "Multiple Imputation of Squared Terms," Sociological Methods & Research, , vol. 42(4), pages 598-607, November.
    21. Valaei, Naser & Rezaei, Sajad & Ismail, Wan Khairuzzaman Wan, 2017. "Examining learning strategies, creativity, and innovation at SMEs using fuzzy set Qualitative Comparative Analysis and PLS path modeling," Journal of Business Research, Elsevier, vol. 70(C), pages 224-233.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • 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:ere:journl:v:32:y:2013:i:2:id:58. 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: Revistas UANL (email available below). General contact details of provider: https://ensayos.uanl.mx/index.php/ensayos .

    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.