IDEAS home Printed from https://ideas.repec.org/a/zbw/espost/171454.html
   My bibliography  Save this article

Impact of the National Professional Qualification Program (PNQ) on Income: An Econometric Analysis in Piracicaba/SP-Brazil

Author

Listed:
  • Ferraz, Diogo
  • Ribeiro de Oliveira, Fabíola Cristina

Abstract

This paper presents the analysis of the results of the National Program for Professional Qualification - PNQ in Piracicaba/Sao Paulo - Brazil. It analyzed the impact of PNQ on the income of workers. The Theory of Human Capital is presented as a suitable theoretical basis. We used econometric method "diffs-in-diffs", which compares the income of a group of skilled workers with others who did not attend the program. It proved to be rise in income and increased formalization of skilled workers. It was proved the viability of public policy professional qualifications in the municipality.

Suggested Citation

  • Ferraz, Diogo & Ribeiro de Oliveira, Fabíola Cristina, 2018. "Impact of the National Professional Qualification Program (PNQ) on Income: An Econometric Analysis in Piracicaba/SP-Brazil," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 28(2), pages 105-123.
    • Handle: RePEc:zbw:espost:171454
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/171454/1/28067-73951-1-RV.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    2. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    3. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    4. Heckman, James, 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.
    5. Hartmann, Dominik & Guevara, Miguel R. & Jara-Figueroa, Cristian & Aristarán, Manuel & Hidalgo, César A., 2017. "Linking Economic Complexity, Institutions, and Income Inequality," World Development, Elsevier, vol. 93(C), pages 75-93.
    6. Hausman, Jerry & Kuersteiner, Guido, 2008. "Difference in difference meets generalized least squares: Higher order properties of hypotheses tests," Journal of Econometrics, Elsevier, vol. 144(2), pages 371-391, June.
    7. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, vol. 42(4), pages 679-694, July.
    8. Gary S. Becker, 1994. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition," NBER Books, National Bureau of Economic Research, Inc, number beck94-1.
    9. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    10. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    11. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    12. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    13. Delaney, Jennifer A. & Kearney, Tyler D., 2015. "The impact of guaranteed tuition policies on postsecondary tuition levels: A difference-in-difference approach," Economics of Education Review, Elsevier, vol. 47(C), pages 80-99.
    14. Kassouf, Ana Lucia, 1994. "The Wage Rate Estimation Using the Heckman Procedure," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 14(1), April.
    15. Grafova, Irina B. & Freedman, Vicki A. & Lurie, Nicole & Kumar, Rizie & Rogowski, Jeannette, 2014. "The difference-in-difference method: Assessing the selection bias in the effects of neighborhood environment on health," Economics & Human Biology, Elsevier, vol. 13(C), pages 20-33.
    16. Curi, Andréa Zaitune & Menezes Filho, N. A., 2006. "Os Efeitos da Pré-Escola sobre Salários, Escolaridade e Proficiência," Insper Working Papers wpe_50, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    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. van der Klaauw, Bas, 2014. "From micro data to causality: Forty years of empirical labor economics," Labour Economics, Elsevier, vol. 30(C), pages 88-97.
    2. Colm Harmon & Claire Finn & Arnaud Chevalier & Tarja Viitanen, 2006. "The economics of early childhood care and education : technical research paper for the National Economic and Social Forum," Open Access publications 10197/671, School of Economics, University College Dublin.
    3. Leonardo Gasparini & Mariana Marchionni & Walter Sosa Escudero, 2000. "Characterization of inequality changes through microeconometric decompositions. The case of Greater Buenos Aires," IIE, Working Papers 025, IIE, Universidad Nacional de La Plata.
    4. Hans Dietrich & Harald Pfeifer & Felix Wenzelmann, 2016. "The more they spend, the more I earn? Firms' training investments and post-training wages of apprentices," Economics of Education Working Paper Series 0116, University of Zurich, Department of Business Administration (IBW).
    5. Yasser Razak Hussain & Pranab Mukhopadhyay, 2023. "How Much do Education, Experience, and Social Networks Impact Earnings in India? A Panel Data Analysis Disaggregated by Class, Gender, Caste and Religion," SAGE Open, , vol. 13(4), pages 21582440231, December.
    6. Carlos Foronda Rojas, 2006. "Evaluación de los efectos de las políticas de exportación y de productividad en la distribución del ingreso a partir de microsimulaciones," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 1(1), pages 41-60.
    7. Thierry Debrand & Sophie Pennec & Anne-Gisèle Privat, 2003. "Un modèle de microsimulation pour la projection des retraites du régime général," Economie & Prévision, La Documentation Française, vol. 0(4), pages 215-230.
    8. Michał Myck, 2010. "Wages and Ageing: Is There Evidence for the ‘Inverse‐U’ Profile?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(3), pages 282-306, June.
    9. Meghir, Costas & Rivkin, Steven, 2011. "Econometric Methods for Research in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 1, pages 1-87, Elsevier.
    10. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    11. Idrisov, Georgiy (Идрисов, Георгий) & Taganov, B.V. (Таганов, Б.), 2016. "Research of the Effect of Growth of Openness of the Russian Economy on Income Inequality in Russia [Исследование Влияния Роста Открытости Российской Экономики На Неравенство Доходов Населения В Рос," Working Papers 3136, Russian Presidential Academy of National Economy and Public Administration.
    12. Jens Ruhose, 2015. "Microeconometric Analyses on Economic Consequences of Selective Migration," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 61.
    13. Lili Kang & Fei Peng, 2012. "A selection analysis of returns to education in China," Post-Communist Economies, Taylor & Francis Journals, vol. 24(4), pages 535-554, March.
    14. Dyah S. Pritadrajati & Anggita C. M. Kusuma & Sweta C. Saxena, 2020. "A Non-Healing Wound: Lasting Consequences Of Unemployment And Informal Self-Employment: An Empirical Evidence From Indonesia," Working Papers WP/09/2020, Bank Indonesia.
    15. José Miguel Benavente & David Bravo & Rodrigo Montero, 2011. "Wages And Workplace Computer Use In Chile," The Developing Economies, Institute of Developing Economies, vol. 49(4), pages 382-403, December.
    16. Zamnius, Alexey & Polbin, Andrey, 2021. "Estimating intertemporal elasticity of substitution of labor supply for married women in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 23-48.
    17. Tomasz Gajderowicz & Gabriela Grotkowska & Jerzy Mycielski & Leszek Wincenciak, 2014. "Social and economic determinants of higher education choices in Poland," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 38.
    18. Park, Seonyoung, 2011. "Returning to school for higher returns," Economics of Education Review, Elsevier, vol. 30(6), pages 1215-1228.
    19. Min Qin & James Brown & Sabu S. Padmadas & Li Bohua & Qi Jianan & Jane Falkingham, 2016. "Gender Inequalities in Employment and Wage-earning among Economic Migrants in Chinese Cities," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(6), pages 175-202.
    20. Letícia Xander Russo & Joilson Dias, 2016. "The Health Influence On Returns To Education In Brazil: A Nonlinear Approach," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 200, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    More about this item

    Keywords

    Professional qualification; Income; Difference in Differences Method; Econometrics;
    All these keywords.

    JEL classification:

    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

    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:zbw:espost:171454. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.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.