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Stimulating Local Public Employment: Do General Grants Work?

Author

Listed:
  • Lundqvist, Heléne

    (Uppsala Center for Fiscal Studies)

  • Dahlberg, Matz

    (Uppsala Center for Fiscal Studies)

  • Mörk, Eva

    (Uppsala Center for Fiscal Studies)

Abstract
The effectiveness of public funds in increasing public employment has long been a question on public and labor economists’ minds. In most federal countries local governments employ large fractions of the working population, meaning that a tool for stimulating local public employment can substantially affect the overall unemployment level. This paper asks whether general grants to lower-level governments have the potential of doing so. Applying the regression kink design to the Swedish grant system, we are able to estimate causal effects of intergovernmental grants on personnel in different local government sectors. Our robust conclusion is that personnel in the central administration increased substantially after a marginal increase in grants, but that such an effect was lacking both for total personnel and personnel in child care, schools, elderly care, social welfare and in technical services. We suggest several potential reasons for these results, such as heterogeneous treatment effects and bureaucratic influence in the local decision-making process.

Suggested Citation

  • Lundqvist, Heléne & Dahlberg, Matz & Mörk, Eva, 2010. "Stimulating Local Public Employment: Do General Grants Work?," Working Paper Series, Center for Fiscal Studies 2010:9, Uppsala University, Department of Economics.
    • Handle: RePEc:hhs:uufswp:2010_009
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    References listed on IDEAS

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    1. Mathias Dewatripont & Ian Jewitt & Jean Tirole, 1999. "The Economics of Career Concerns, Part II: Application to Missions and Accountability of Government Agencies," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(1), pages 199-217.
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    3. Dahlberg, Matz & Mörk, Eva & Rattsø, Jørn & Ågren, Hanna, 2008. "Using a discontinuous grant rule to identify the effect of grants on local taxes and spending," Journal of Public Economics, Elsevier, vol. 92(12), pages 2320-2335, December.
    4. David Card & David S. Lee & Zhuan Pei, 2009. "Quasi-Experimental Identification and Estimation in the Regression Kink Design," Working Papers 1206, Princeton University, Department of Economics, Industrial Relations Section..
    5. Marianne Simonsen & Lars Skipper & Niels Skipper, 2016. "Price Sensitivity of Demand for Prescription Drugs: Exploiting a Regression Kink Design," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 320-337, March.
    6. David Card & David S. Lee & Zhuan Pei, 2009. "Quasi-Experimental Identification and Estimation in the Regression Kink Design," Working Papers 1206, Princeton University, Department of Economics, Industrial Relations Section..
    7. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    8. Mathias Dewatripont & Ian Jewitt & Jean Tirole, 1999. "The Economics of Career Concerns, Part II: Application to Missions and Accountability of Government Agencies," Review of Economic Studies, Oxford University Press, vol. 66(1), pages 199-217.
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    Cited by:

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    2. Garret Christensen & Edward Miguel, 2018. "Transparency, Reproducibility, and the Credibility of Economics Research," Journal of Economic Literature, American Economic Association, vol. 56(3), pages 920-980, September.
    3. Christofzik, Désirée I. & Schneider, Benny, 2019. "Fiscal policy adjustments to budget shocks: Evidence from German municipalities," Working Papers 10/2019, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    4. Blomquist, Johan & Nordin, Martin, 2017. "Do the CAP subsidies increase employment in Sweden? estimating the effects of government transfers using an exogenous change in the CAP," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 13-24.
    5. Sarah H. Bana & Kelly Bedard & Maya Rossin‐Slater, 2020. "The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 888-929, September.
    6. Suzuki, Takafumi, 2021. "Capitalization of local government grants on land values: Evidence from Tokyo metropolitan area, Japan," Japan and the World Economy, Elsevier, vol. 60(C).
    7. Michihito Ando, 2017. "How much should we trust regression-kink-design estimates?," Empirical Economics, Springer, vol. 53(3), pages 1287-1322, November.
    8. Seth H. Giertz & Anil Kumar, 2024. "The local fiscal multiplier of intergovernmental grants: evidence from federal medicaid assistance to states," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(5), pages 1204-1228, October.
    9. Olsson, Ola & Valsecchi, Michele, 2015. "Resource Windfalls and Local Government Behaviour: Evidence From a Policy Reform in Indonesia," Working Papers in Economics 635, University of Gothenburg, Department of Economics.
    10. Bill Dupor & M. Saif Mehkari, 2020. "Schools and Stimulus," Review, Federal Reserve Bank of St. Louis, vol. 102(2), pages 145-171, May.
    11. Jaaidane, Touria & Larribeau, Sophie & Leprince, Matthieu, 2020. "The Determinants of French Municipal Labor Demand," CEPREMAP Working Papers (Docweb) 2003, CEPREMAP.
    12. Hansen, Benjamin & Nguyen, Tuan & Waddell, Glen R., 2017. "Benefit Generosity and Injury Duration: Quasi-Experimental Evidence from Regression Kinks," IZA Discussion Papers 10621, Institute of Labor Economics (IZA).
    13. Busaba, Walid Y. & Restrepo, Felipe, 2022. "The “7% solution” and IPO (under)pricing," Journal of Financial Economics, Elsevier, vol. 144(3), pages 953-971.
    14. Antti Saastamoinen & Mika Kortelainen, 2020. "When Does Money Stick in Education? Evidence from A Kinked Grant Rule," Education Finance and Policy, MIT Press, vol. 15(4), pages 708-735, Fall.
    15. Allers, Maarten A. & Vermeulen, Wouter, 2016. "Capitalization of equalizing grants and the flypaper effect," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 115-129.
    16. Thushyanthan Baskaran, 2016. "Intergovernmental Transfers, Local Fiscal Policy, and the Flypaper Effect: Evidence from a German State," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 72(1), pages 1-40, March.
    17. Marko Köthenbürger & Gabriel Loumeau, 2023. "Tax Responses in Local Public Finance: The Flypaper Effect at Work," CESifo Working Paper Series 10354, CESifo.
    18. Thushyanthan Baskaran, 2017. "Local fiscal policy after a bailout: austerity or soft budget constraints?," Economics of Governance, Springer, vol. 18(3), pages 209-238, August.
    19. Ganong, Peter & Jäger, Simon, 2014. "A Permutation Test and Estimation Alternatives for the Regression Kink Design," IZA Discussion Papers 8282, Institute of Labor Economics (IZA).
    20. Bill Dupor, 2017. "So, Why Didn’t the 2009 Recovery Act Improve the Nation’s Highways and Bridges?," Review, Federal Reserve Bank of St. Louis, vol. 99(2), pages 169-182.
    21. Jaeger, Simon C & Ganong, Peter Nathan, 2014. "A Permutation Test and Estimation Alternatives for the Regression Kink Design," Scholarly Articles 34222894, Harvard University Department of Economics.
    22. Sebastian Garmann, 2014. "The causal effect of coalition governments on fiscal policies: evidence from a Regression Kink Design," Applied Economics, Taylor & Francis Journals, vol. 46(36), pages 4490-4507, December.
    23. Baskaran, Thushyanthan, 2014. "Bailouts and austerity," University of Göttingen Working Papers in Economics 212, University of Goettingen, Department of Economics.

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    More about this item

    Keywords

    Fiscal federalism; intergovernmental grants; public employment; regression kink design; instrumental variables;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets

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