IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/23350.html
   My bibliography  Save this paper

Individuals and Organizations as Sources of State Effectiveness

Author

Listed:
  • Michael Carlos Best
  • Jonas Hjort
  • David Szakonyi

Abstract

Bureaucrats implement policy. How important are they for a state’s productivity? And do the tradeoffs between policies depend on their effectiveness? Using data on 16 million public purchases in Russia, we show that 39 percent of the variation in prices paid for narrowly defined items is due to the individual bureaucrats and organizations who manage procurement. Low-price buyers also display higher spending quality. Theory suggests that such differences in effectiveness can be pivotal for policy design. To illustrate, we show that a common one—bid preferences for domestic suppliers—substantially improves procurement performance, but only when implemented by ineffective bureaucrats.

Suggested Citation

  • Michael Carlos Best & Jonas Hjort & David Szakonyi, 2017. "Individuals and Organizations as Sources of State Effectiveness," NBER Working Papers 23350, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23350
    Note: DEV PE POL PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w23350.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
    2. Milgrom,Paul, 2004. "Putting Auction Theory to Work," Cambridge Books, Cambridge University Press, number 9780521536721.
    3. John M. Abowd & Robert H. Creecy & Francis Kramarz, 2002. "Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data," Longitudinal Employer-Household Dynamics Technical Papers 2002-06, Center for Economic Studies, U.S. Census Bureau.
    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. Jae Song & David J Price & Fatih Guvenen & Nicholas Bloom & Till von Wachter, 2019. "Firming Up Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 1-50.
    2. Mario Macis & Fabiano Schivardi, 2016. "Exports and Wages: Rent Sharing, Workforce Composition, or Returns to Skills?," Journal of Labor Economics, University of Chicago Press, vol. 34(4), pages 945-978.
    3. Matteo G. Richiardi & Luis Valenzuela, 2024. "Firm heterogeneity and the aggregate labour share," LABOUR, CEIS, vol. 38(1), pages 66-101, March.
    4. Sandra Cavaco & Patricia Crifo & Antoine Rebérioux & Gwenael Roudaut, 2014. "Independent directors: less informed, but better selected? New evidence from a two-way director-firm fixed effect model," Working Papers hal-04141284, HAL.
    5. John M. Abowd & Francis Kramarz & Sébastien Pérez-Duarte & Ian M. Schmutte, 2018. "Sorting Between and Within Industries: A Testable Model of Assortative Matching," Annals of Economics and Statistics, GENES, issue 129, pages 1-32.
    6. Rasmus Lentz & Jean Marc Robin & Suphanit Piyapromdee, 2018. "On Worker and Firm Heterogeneity in Wages and Employment Mobility: Evidence from Danish Register Data," 2018 Meeting Papers 469, Society for Economic Dynamics.
    7. Bassi, Vittorio & Nyshadham, Anant & Tamayo, Jorge & Adhvaryu, Achyuta, 2020. "No Line Left Behind: Assortative Matching Inside the Firm," CEPR Discussion Papers 14554, C.E.P.R. Discussion Papers.
    8. Erling Barth & James Davis & Richard B. Freeman, 2018. "Augmenting the Human Capital Earnings Equation with Measures of Where People Work," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 71-97.
    9. Bombardini, Matilde & Orefice, Gianluca & Tito, Maria D., 2019. "Does exporting improve matching? Evidence from French employer-employee data," Journal of International Economics, Elsevier, vol. 117(C), pages 229-241.
    10. Fanfani, Bernardo, 2022. "Tastes for discrimination in monopsonistic labour markets," Labour Economics, Elsevier, vol. 75(C).
    11. Mittag, Nikolas, 2016. "A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching," IZA Discussion Papers 10447, Institute of Labor Economics (IZA).
    12. Morchio, Iacopo & Moser, Christian, 2018. "The Gender Pay Gap: Micro Sources and Macro Consequences," MPRA Paper 99276, University Library of Munich, Germany, revised 24 Mar 2020.
    13. Philipp Barteska & Jay Euijung Lee, 2024. "Bureaucrats and the Korean export miracle," Discussion Papers 2024-11, Nottingham Interdisciplinary Centre for Economic and Political Research (NICEP).
    14. Italo Colantone & Alessia Matano & Paolo Naticchioni, 2020. "New imported inputs, wages and worker mobility," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(2), pages 423-457.
    15. Ian M. Schmutte, 2015. "Job Referral Networks and the Determination of Earnings in Local Labor Markets," Journal of Labor Economics, University of Chicago Press, vol. 33(1), pages 1-32.
    16. Battisti, Michele, 2017. "High wage workers and high wage peers," Labour Economics, Elsevier, vol. 46(C), pages 47-63.
    17. Engbom, Niklas & Moser, Christian & Sauermann, Jan, 2023. "Firm pay dynamics," Journal of Econometrics, Elsevier, vol. 233(2), pages 396-423.
    18. Dostie, Benoit & Li, Jiang & Card, David & Parent, Daniel, 2023. "Employer policies and the immigrant–native earnings gap," Journal of Econometrics, Elsevier, vol. 233(2), pages 544-567.
    19. Gaure, Simen, 2014. "Practical Correlation Bias Correction in Two-way Fixed Effects Linear Regression," Memorandum 21/2014, Oslo University, Department of Economics.
    20. Katarína Borovičková & Robert Shimer, 2017. "High Wage Workers Work for High Wage Firms," NBER Working Papers 24074, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy

    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:nbr:nberwo:23350. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.