IDEAS home Printed from https://ideas.repec.org/p/fda/fdaeee/eee2021-03.html
   My bibliography  Save this paper

Worker Flows and Wage Dynamics: Estimating Wage Growth without Composition Effects

Author

Listed:
  • Raquel Carrasco
  • J. Ignacio García-Pérez
  • Juan F. Jimeno

Abstract

Wage dynamics is closely intertwined with job flows. However, composition effects associated to the different sizes and characteristics of workers entering/exiting into/from employment that may blur the “true” underlying wage growth, are not typically accounted for. In this paper, we take these composition effects into consideration and compute wage growth in Spain during the 2006-2018 period after netting out the consequences of employment dynamics. Our results show that the “true” underlying wage growth in the Spanish economy during recessions (expansions) was, on average, significantly lower (higher) that the observed with raw data. This may help to explain some macro puzzles, such as the “vanishing” Phillips curve.

Suggested Citation

  • Raquel Carrasco & J. Ignacio García-Pérez & Juan F. Jimeno, 2021. "Worker Flows and Wage Dynamics: Estimating Wage Growth without Composition Effects," Studies on the Spanish Economy eee2021-03, FEDEA.
    • Handle: RePEc:fda:fdaeee:eee2021-03
    as

    Download full text from publisher

    File URL: https://documentos.fedea.net/pubs/eee/eee2021-03.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    2. Mario Izquierdo & Juan Francisco Jimeno & Theodora Kosma & Ana Lamo & Stephen Millard & Tairi Rõõm & Eliana Viviano, 2017. "Labour market adjustment in Europe during the crisis: microeconomic evidence from the Wage Dynamics Network survey," Occasional Papers 1704, Banco de España.
    3. Samuel Bentolila & J. Ignacio García-Pérez & Marcel Jansen, 2017. "Are the Spanish long-term unemployed unemployable?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 8(1), pages 1-41, March.
    4. François Bourguignon & Martin Fournier & Marc Gurgand, 2007. "Selection Bias Corrections Based On The Multinomial Logit Model: Monte Carlo Comparisons," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 174-205, February.
    5. Katharine G. Abraham & John C. Haltiwanger, 1995. "Real Wages and the Business Cycle," Journal of Economic Literature, American Economic Association, vol. 33(3), pages 1215-1264, September.
    6. Michael Morris & Robert W. Rich & Joseph Tracy, 2020. "How Aggregation Matters for Measured Wage Growth," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2020(19), pages 1-9, July.
    7. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    8. Theodora Kosma & Evangelia Papapetrou & Georgia Pavlou & Christina Tsochatzi & Pinelopi Zioutou, 2017. "Labour market adjustments and reforms in Greece during the crisis: microeconomic evidence from the third wave of the wage dynamics," Working Papers 227, Bank of Greece.
    9. Jacob A. Mincer, 1974. "The Human Capital Earnings Function," NBER Chapters, in: Schooling, Experience, and Earnings, pages 83-96, National Bureau of Economic Research, Inc.
    10. Mary C. Daly & Bart Hobijn, 2017. "Composition and Aggregate Real Wage Growth," American Economic Review, American Economic Association, vol. 107(5), pages 349-352, May.
    11. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    12. 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.
    13. Sebastian Heise & Fatih Karahan & Ayşegül Şahin, 2022. "The Missing Inflation Puzzle: The Role of the Wage‐Price Pass‐Through," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(S1), pages 7-51, February.
    14. Gordon B. Dahl, 2002. "Mobility and the Return to Education: Testing a Roy Model with Multiple Markets," Econometrica, Econometric Society, vol. 70(6), pages 2367-2420, November.
    15. Samuel Bentolila & J. Ignacio García-Pérez & Marcel Jansen, 2017. "Are the Spanish Long-Term Unemployed Unemployable?," Working Papers wp2018_1707, CEMFI.
    16. Fatih Karahan & Ryan Michaels & Benjamin Pugsley & Ayşegül Şahin & Rachel Schuh, 2017. "Do Job-to-Job Transitions Drive Wage Fluctuations over the Business Cycle?," American Economic Review, American Economic Association, vol. 107(5), pages 353-357, May.
    17. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    18. Mr. Gee Hee Hong & Zsoka Koczan & Weicheng Lian & Mr. Malhar S Nabar, 2018. "More Slack than Meets the Eye? Recent Wage Dynamics in Advanced Economies," IMF Working Papers 2018/050, International Monetary Fund.
    19. Anabela Carneiro & Paulo Guimarães & Pedro Portugal, 2012. "Real Wages and the Business Cycle: Accounting for Worker, Firm, and Job Title Heterogeneity," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(2), pages 133-152, April.
    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. Aleksandra Anić & Gorana Krstić, 2019. "What Lies Behind The Gender Wage Gap In Serbia?," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 64(223), pages 137-170, October –.
    2. C. Duvivier & S. Li & M.-F. Renard, 2013. "Are workers close to cities paid higher nonagricultural wages in rural China?," Applied Economics, Taylor & Francis Journals, vol. 45(30), pages 4308-4322, October.
    3. Ssekabira Ntege & Steven F. Koch, 2008. "Returns to Schooling: Skills Accumulation or Information Revelation?," Working Papers 087, Economic Research Southern Africa.
    4. Polachek, Solomon W., 2008. "Earnings Over the Life Cycle: The Mincer Earnings Function and Its Applications," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(3), pages 165-272, April.
    5. Margherita Comola & Luiz de Mello, 2010. "Educational attainment and selection into the labour market: The determinants of employment and earnings in Indonesia," PSE Working Papers halshs-00564835, HAL.
    6. Guataqui, Juan Carlos & García Suaza, Andrés Felipe & Rodríguez, Mauricio, 2009. "Estimaciones de los determinantes de los ingresos laborales en Colombia con consideraciones diferenciales para asalariados y cuenta propia," Documentos de Trabajo 5756, Universidad del Rosario.
    7. Chung, Anna, 2008. "The Effects of For-Profit College Training on Earnings," MPRA Paper 18972, University Library of Munich, Germany, revised May 2009.
    8. Atamanov, Aziz & Berg, Marrit van den, 2011. "International migration and local employment: analysis of self-selection and earnings in Tajikistan," MERIT Working Papers 2011-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Breustedt, Gunnar & Schulz, Norbert & Latacz-Lohmann, Uwe, 2013. "Kalibrierung von Vertragsnaturschutzprogrammen mittels eines zweistufigen Discrete-Choice-Experimentes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 62(04), pages 1-17, November.
    10. Guaracyane Lima Campelo & João Mário Santos De França & Emerson Luís Lemos Marinho, 2016. "Impacts Of Malnutrition On Labor Productivity: Empirical Evidences In Rural Brazil," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 236, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    11. Sergi Jiménez-Martín & Cristina Prieto, 2012. "The trade-off between formal and informal care in Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(4), pages 461-490, August.
    12. Stéphane Couture & Serge Garcia & Arnaud Reynaud, 2009. "Household Energy Choices and Fuelwood Consumption: An Econometric Approach to the French Data," LERNA Working Papers 09.08.284, LERNA, University of Toulouse.
    13. Yi CHEN & Sylvie DEMURGER & Martin FOURNIER, 2004. "Différentiels salariaux, segmentation et discrimination à l’égard des femmes sur le marché du travail chinois," Working Papers 200426, CERDI.
    14. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.
    15. Espenlaub, Susanne & Khurshed, Arif & Mohamed, Abdulkadir, 2014. "Does cross-border syndication affect venture capital risk and return?," International Review of Financial Analysis, Elsevier, vol. 31(C), pages 13-24.
    16. Miguel Santolino & Magnus Söderberg, 2014. "Modelling appellate courts’ responses in motor injury disputes," European Journal of Law and Economics, Springer, vol. 38(3), pages 393-407, December.
    17. Bertoli, S. & Fernández-Huertas Moraga, J. & Ortega, F., 2013. "Crossing the border: Self-selection, earnings and individual migration decisions," Journal of Development Economics, Elsevier, vol. 101(C), pages 75-91.
    18. Zhao, Shangwei & Xie, Tian & Ai, Xin & Yang, Guangren & Zhang, Xinyu, 2023. "Correcting sample selection bias with model averaging for consumer demand forecasting," Economic Modelling, Elsevier, vol. 123(C).
    19. SeEun Jung, 2017. "The gender wage gap and sample selection via risk attitudes," International Journal of Manpower, Emerald Group Publishing Limited, vol. 38(2), pages 318-335, May.
    20. Mauro Vigani & Jonas Kathage, 2019. "To Risk or Not to Risk? Risk Management and Farm Productivity," American Journal of Agricultural Economics, John Wiley & Sons, vol. 101(5), pages 1432-1454, October.

    More about this item

    JEL classification:

    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

    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:fda:fdaeee:eee2021-03. 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: Carmen Arias (email available below). General contact details of provider: https://www.fedea.net .

    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.