IDEAS home Printed from https://ideas.repec.org/p/usg/econwp/201905.html
   My bibliography  Save this paper

Do local public expenditures on sports facilities affect sports participation in Germany?

Author

Listed:
  • Steckenleiter, Carina
  • Lechner, Michael
  • Pawlowski, Tim
  • Schüttoff, Ute

Abstract

This paper analyzes the effect of local public expenditures on sports facilities on sports participation in Germany. To this end, we construct a new database containing public expenditures at the municipality level and link this information with individual level data. We form locally weighted averages of expenditures based on geographic distances since people also benefit from expenditures of neighboring municipalities. We analyze how effects of sports facility expenditures change with different expenditures levels (“dose-response relationship”) and find no effect of local public expenditures on sports facilities on the probability to practice sports. These findings are robust across different age groups and municipality sizes.

Suggested Citation

  • Steckenleiter, Carina & Lechner, Michael & Pawlowski, Tim & Schüttoff, Ute, 2019. "Do local public expenditures on sports facilities affect sports participation in Germany?," Economics Working Paper Series 1905, University of St. Gallen, School of Economics and Political Science.
    • Handle: RePEc:usg:econwp:2019:05
    as

    Download full text from publisher

    File URL: http://ux-tauri.unisg.ch/RePEc/usg/econwp/EWP-1905.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michela Bia & Carlos A. Flores & Alfonso Flores-Lagunes & Alessandra Mattei, 2014. "A Stata package for the application of semiparametric estimators of dose–response functions," Stata Journal, StataCorp LP, vol. 14(3), pages 580-604, September.
    2. Lechner, Michael & Sari, Nazmi, 2015. "Labor market effects of sports and exercise: Evidence from Canadian panel data," Labour Economics, Elsevier, vol. 35(C), pages 1-15.
    3. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64(5), pages 416-416.
    4. James W. Hardin & Joseph W. Hilbe, 2012. "Generalized Linear Models and Extensions, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number glmext, March.
    5. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," Ruhr Economic Papers 35, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Lechner, Michael, 2009. "Long-run labour market and health effects of individual sports activities," Journal of Health Economics, Elsevier, vol. 28(4), pages 839-854, July.
    7. Helen F. Ladd, 1992. "Population Growth, Density and the Costs of Providing Public Services," Urban Studies, Urban Studies Journal Limited, vol. 29(2), pages 273-295, April.
    8. Lechner, Michael, 2008. "A note on endogenous control variables in causal studies," Statistics & Probability Letters, Elsevier, vol. 78(2), pages 190-195, February.
    9. Chung Choe & Alfonso Flores-Lagunes & Sang-Jun Lee, 2015. "Do dropouts with longer training exposure benefit from training programs? Korean evidence employing methods for continuous treatments," Empirical Economics, Springer, vol. 48(2), pages 849-881, March.
    10. Dammert, Ana C. & Galdo, Jose, 2013. "Program quality and treatment completion for youth training programs," Economics Letters, Elsevier, vol. 119(3), pages 243-246.
    11. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    12. Pawlowski, Tim & Steckenleiter, Carina & Wallrafen, Tim & Lechner, Michael, 2021. "Individual labor market effects of local public expenditures on sports," Labour Economics, Elsevier, vol. 70(C).
    13. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    14. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    15. Brad R. Humphreys & Jane E. Ruseski, 2007. "Participation In Physical Activity And Government Spending On Parks And Recreation," Contemporary Economic Policy, Western Economic Association International, vol. 25(4), pages 538-552, October.
    16. Carlos A. Flores & Alfonso Flores-Lagunes & Arturo Gonzalez & Todd C. Neumann, 2012. "Estimating the Effects of Length of Exposure to Instruction in a Training Program: The Case of Job Corps," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 153-171, February.
    17. Barbara Guardabascio & Marco Ventura, 2014. "Estimating the dose–response function through a generalized linear model approach," Stata Journal, StataCorp LP, vol. 14(1), pages 141-158, March.
    18. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    19. Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
    20. Steinmayr, Andreas & Felfe, Christina & Lechner, Michael, 2011. "The closer the sportier? Children's sport activity and their distance to sport facilities," Economics Working Paper Series 1104, University of St. Gallen, School of Economics and Political Science.
    21. Anne K Reimers & Matthias Wagner & Seraphim Alvanides & Andreas Steinmayr & Miriam Reiner & Steffen Schmidt & Alexander Woll, 2014. "Proximity to Sports Facilities and Sports Participation for Adolescents in Germany," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-7, March.
    22. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pawlowski, Tim & Steckenleiter, Carina & Wallrafen, Tim & Lechner, Michael, 2021. "Individual labor market effects of local public expenditures on sports," Labour Economics, Elsevier, vol. 70(C).

    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. Carina Steckenleiter & Michael Lechner & Tim Pawlowski & Ute Schüttoff, 2023. "Do local expenditures on sports facilities affect sports participation?," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 1103-1128, October.
    2. Tübbicke Stefan, 2022. "Entropy Balancing for Continuous Treatments," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 71-89, January.
    3. Chung Choe & Alfonso Flores-Lagunes & Sang-Jun Lee, 2015. "Do dropouts with longer training exposure benefit from training programs? Korean evidence employing methods for continuous treatments," Empirical Economics, Springer, vol. 48(2), pages 849-881, March.
    4. Ferrara, Antonella Rita & Dijkstra, Lewis & McCann, Philip & Nisticó, Rosanna, 2022. "The response of regional well-being to place-based policy interventions," Regional Science and Urban Economics, Elsevier, vol. 97(C).
    5. Ida D'Attoma & Silvia Pacei, 2018. "Evaluating the Effects of Product Innovation on the Performance of European Firms by Using the Generalised Propensity Score," German Economic Review, Verein für Socialpolitik, vol. 19(1), pages 94-112, February.
    6. Pawlowski, Tim & Steckenleiter, Carina & Wallrafen, Tim & Lechner, Michael, 2021. "Individual labor market effects of local public expenditures on sports," Labour Economics, Elsevier, vol. 70(C).
    7. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    8. A. Giffin & B. J. Reich & S. Yang & A. G. Rappold, 2023. "Generalized propensity score approach to causal inference with spatial interference," Biometrics, The International Biometric Society, vol. 79(3), pages 2220-2231, September.
    9. Peter H. Egger & Katharina Erhardt, 2024. "Heterogeneous effects of tariff and nontariff trade‐policy barriers in quantitative general equilibrium," Quantitative Economics, Econometric Society, vol. 15(2), pages 453-487, May.
    10. Roberto ESPOSTI, 2014. "To match, not to match, how to match: Estimating the farm-level impact of the CAP-first pillar reform (or: How to Apply Treatment-Effect Econometrics when the Real World is;a Mess)," Working Papers 403, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    11. Cabane Charlotte & Lechner Michael, 2015. "Physical Activity of Adults: A Survey of Correlates, Determinants, and Effects," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(4-5), pages 376-402, August.
    12. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    13. Finn McGuire & Noemi Kreif & Peter C. Smith, 2021. "The effect of distance on maternal institutional delivery choice: Evidence from Malawi," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2144-2167, September.
    14. Flores-Lagunes, Alfonso & Gonzalez, Arturo & Neumann, Todd C., 2007. "Estimating the Effects of Length of Exposure to a Training Program: The Case of Job Corps," IZA Discussion Papers 2846, Institute of Labor Economics (IZA).
    15. Serrano-Domingo, Guadalupe & Requena-Silvente, Francisco, 2013. "Re-examining the migration–trade link using province data: An application of the generalized propensity score," Economic Modelling, Elsevier, vol. 32(C), pages 247-261.
    16. Egger, Peter H. & Ehrlich, Maximilian v. & Nelson, Douglas R., 2020. "The trade effects of skilled versus unskilled migration," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 448-464.
    17. Zoltán Bakucs & Imre Fertő & Zsófia Benedek, 2019. "Success or Waste of Taxpayer Money? Impact Assessment of Rural Development Programs in Hungary," Sustainability, MDPI, vol. 11(7), pages 1-23, April.
    18. Ulf Rinne & Arne Uhlendorff & Zhong Zhao, 2013. "Vouchers and caseworkers in training programs for the unemployed," Empirical Economics, Springer, vol. 45(3), pages 1089-1127, December.
    19. Zachary K. Collier & Walter L. Leite & Allison Karpyn, 2021. "Neural Networks to Estimate Generalized Propensity Scores for Continuous Treatment Doses," Evaluation Review, , vol. 45(1-2), pages 3-33, February.
    20. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.

    More about this item

    Keywords

    Sports; local public sports expenditure; continuous treatment; treatment effects doseresponse surface; semiparametric estimation;
    All these keywords.

    JEL classification:

    • Z20 - Other Special Topics - - Sports Economics - - - General
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    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:usg:econwp:2019:05. 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/vwasgch.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.