IDEAS home Printed from https://ideas.repec.org/p/hhs/iuiwop/1427.html
   My bibliography  Save this paper

JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality

Author

Listed:

Abstract

We present a novel measure of job-worker allocation quality (JAQ) by exploiting employer-employee data with machine learning techniques and validate it in various ways. Our measure correlates positively with earnings and negatively with separations over individual workers’ careers. At firm level, it increases with competition, non-family firm status, workers’ human capital and has a robust correlation with productivity. The quality of rank-and-file workers’ job matches responds positively to improvements in management quality. JAQ can be constructed for any employer-employee data including workers’ occupations, and used to explore research questions in organization and labor economics, as well as in corporate finance.

Suggested Citation

  • Coraggio, Luca & Pagano, Marco & Scognamiglio, Annalisa & Tåg, Joacim, 2022. "JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality," Working Paper Series 1427, Research Institute of Industrial Economics, revised 25 Apr 2023.
  • Handle: RePEc:hhs:iuiwop:1427
    as

    Download full text from publisher

    File URL: https://www.ifn.se/wfiles/wp/wp1427.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jeremy Lise & Fabien Postel-Vinay, 2020. "Multidimensional Skills, Sorting, and Human Capital Accumulation," American Economic Review, American Economic Association, vol. 110(8), pages 2328-2376, August.
    2. Isil Erel & Léa H Stern & Chenhao Tan & Michael S Weisbach, 2021. "Selecting Directors Using Machine Learning," NBER Chapters, in: Big Data: Long-Term Implications for Financial Markets and Firms, pages 3226-3264, National Bureau of Economic Research, Inc.
    3. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    4. Nicholas Bloom & John Van Reenen, 2007. "Measuring and Explaining Management Practices Across Firms and Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1351-1408.
    5. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    6. Huitfeldt, Ingrid & Kostøl, Andreas R. & Nimczik, Jan & Weber, Andrea, 2023. "Internal labor markets: A worker flow approach," Journal of Econometrics, Elsevier, vol. 233(2), pages 661-688.
    7. Peter Fredriksson & Lena Hensvik & Oskar Nordström Skans, 2018. "Mismatch of Talent: Evidence on Match Quality, Entry Wages, and Job Mobility," American Economic Review, American Economic Association, vol. 108(11), pages 3303-3338, November.
    8. Alberto Abadie & Maximilian Kasy, 2019. "Choosing Among Regularized Estimators in Empirical Economics: The Risk of Machine Learning," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 743-762, December.
    9. Ingrid Huitfeldt & Andreas R. Kostøl & Jan Nimczik & Andrea Weber, 2021. "Internal labor markets. A worker flow approach," Discussion Papers 961, Statistics Norway, Research Department.
    10. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    11. Nicholas Bloom & Erik Brynjolfsson & Lucia Foster & Ron Jarmin & Megha Patnaik & Itay Saporta-Eksten & John Van Reenen, 2019. "What Drives Differences in Management Practices?," American Economic Review, American Economic Association, vol. 109(5), pages 1648-1683, May.
    12. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    13. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    14. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    15. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    16. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    17. Edward P. Lazear & Kathryn L. Shaw, 2009. "Wage Structure, Raises and Mobility: An Introduction to International Comparisons of the Structure of Wages Within and Across Firms," NBER Chapters, in: The Structure of Wages: An International Comparison, pages 1-57, National Bureau of Economic Research, Inc.
    18. Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
    19. Edward P. Lazear & Kathryn L. Shaw, 2009. "The Structure of Wages: An International Comparison," NBER Books, National Bureau of Economic Research, Inc, number laze08-1, March.
    20. Lazear, Edward P. & Shaw, Kathryn L. (ed.), 2009. "The Structure of Wages," National Bureau of Economic Research Books, University of Chicago Press, edition 2, number 9780226470504, December.
    21. Danielle Li & Lindsey R. Raymond & Peter Bergman, 2020. "Hiring as Exploration," NBER Working Papers 27736, National Bureau of Economic Research, Inc.
    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. Rik Chakraborti & Gavin Roberts, 2023. "How price-gouging regulation undermined COVID-19 mitigation: county-level evidence of unintended consequences," Public Choice, Springer, vol. 196(1), pages 51-83, July.
    2. Cl'ement de Chaisemartin & Xavier D'Haultf{oe}uille, 2021. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," Papers 2112.04565, arXiv.org, revised Jun 2022.
    3. Clément de Chaisemartin & Xavier D’Haultfœuille, 2023. "Two-way fixed effects and differences-in-differences with heterogeneous treatment effects: a survey," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 1-30.
    4. Alex Hollingsworth & Krzysztof Karbownik & Melissa A. Thomasson & Anthony Wray, 2022. "The Gift of a Lifetime: The Hospital, Modern Medicine, and Mortality," NBER Working Papers 30663, National Bureau of Economic Research, Inc.
    5. Chy, Mahfuz & Kyung, Hoyoun, 2023. "The effect of bond market transparency on bank loan contracting," Journal of Accounting and Economics, Elsevier, vol. 75(2).
    6. Mikhail Mamonov & Anna Pestova & Steven Ongena, 2023. "“Crime and Punishment”? How Banks Anticipate and Propagate Global Financial Sanctions," CERGE-EI Working Papers wp753, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    7. Kayaoglu, Aysegul, 2022. "Do refugees cause crime?," World Development, Elsevier, vol. 154(C).
    8. Asatryan, Zareh & Baskaran, Thushyanthan & Birkholz, Carlo & Hufschmidt, Patrick, 2023. "Favoritism by the governing elite," Ruhr Economic Papers 1029, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Jean-Victor Alipour & Lindlacher Valentin, 2022. "No Surprises, Please: Voting Costs and Electoral Turnout," CESifo Working Paper Series 9759, CESifo.
    10. Alexander Karaivanov & Dongwoo Kim & Shih En Lu & Hitoshi Shigeoka, 2022. "COVID-19 vaccination mandates and vaccine uptake," Nature Human Behaviour, Nature, vol. 6(12), pages 1615-1624, December.
    11. Dr. Romain Baeriswyl & Alex Oktay & Dr. Marc-Antoine Ramelet, 2023. "Exchange rate shocks and equity prices: the role of currency denomination," Working Papers 2023-05, Swiss National Bank.
    12. Davidson, Carl & Heyman, Fredrik & Matusz, Steven & Sjöholm, Fredrik & Chun Zhu, Susan, 2022. "How International Experience Helps Shape Labor Market Outcomes," Working Paper Series 1453, Research Institute of Industrial Economics.
    13. Marcus Roller, Daniel Steinberg, 2023. "Differences-in-Differences with multiple Treatments under Control," Diskussionsschriften credresearchpaper41, Universitaet Bern, Departement Volkswirtschaft - CRED.
    14. Cristian Bartolucci & Francesco Devicienti & Ignacio Monzón, 2018. "Identifying Sorting in Practice," American Economic Journal: Applied Economics, American Economic Association, vol. 10(4), pages 408-438, October.
    15. OKUDAIRA Hiroko & TAKIZAWA Miho & YAMANOUCHI Kenta, 2022. "Does Employee Downsizing Work? Evidence from Product Innovation at Manufacturing Plants," Discussion papers 22015, Research Institute of Economy, Trade and Industry (RIETI).
    16. Mingxia Shi & Yibo Wang, 2023. "Do Green Transfer Payments Contribute to Carbon Emission Reduction?," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    17. Chabé-Ferret, Sylvain & Reynaud, Arnaud & Tène, Eva, 2021. "Water Quality, Policy Diffusion Effects and Farmers’ Behavior," TSE Working Papers 21-1229, Toulouse School of Economics (TSE).
    18. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
    19. Wei-Fong Pan, 2023. "Does a firm’s lobbying activity respond to its peers’ lobbying activity?," Public Choice, Springer, vol. 194(3), pages 297-324, March.
    20. Pinotti, Paolo & Bhalotra, Sonia & Britto, Diogo & Sampaio, Breno, 2021. "Job Displacement, Unemployment Benefits and Domestic Violence," CEPR Discussion Papers 16350, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    Jobs; Workers; Matching; Mismatch; Machine Learning; Productivity; Management;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management

    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:hhs:iuiwop:1427. 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: Elisabeth Gustafsson (email available below). General contact details of provider: https://edirc.repec.org/data/iuiiise.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.