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Sluggishness, Endogeneity and the Demand for Local Public Services

Author

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  • Dahlberg, M.
  • Jacob, J.
Abstract
Earlier studies estimating the demand for local public services by means of the median voter model have typically assumed exogenous regressors and static set-ups. Furthermore, the commonly used log-linear specification of the demand function has in most cases not been supported by a well-defined maximisation problem. In this paper, we investigate whether it is important to control for endogeneity and dynamics in empirical work. Using a panel of 266 Swedish municipalities over the period 1981-1987, our test results show that the regressors are endogenous and that the adjustment process is potentially sluggish. We get significantly lower price- and income elasticities when we control for endogeneity and dynamics. In addition, when we control for endogeneity and dynamics, we can no longer reject the hypothesis that observed behaviour can be rationalised by a Cobb-Douglas utility function. This implies that the log-linear specification of the demand function is valid as long as appropriate econometric techniques are used.

Suggested Citation

  • Dahlberg, M. & Jacob, J., 2000. "Sluggishness, Endogeneity and the Demand for Local Public Services," Papers 2000-17, Uppsala - Working Paper Series.
  • Handle: RePEc:fth:uppaal:2000-17
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    References listed on IDEAS

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    1. Lars-Erik Borge & Jørn Rattsø, 1998. "Demographic Shift, Relative Costs and the Allocation of Local Public Consumption in Norway," Chapters, in: Jørn Rattsø (ed.), Fiscal Federalism and State–local Finance, chapter 5, pages 71-92, Edward Elgar Publishing.
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    5. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    6. Rubinfeld, Daniel L., 1987. "The economics of the local public sector," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 2, chapter 11, pages 571-645, Elsevier.
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    8. Pommerehne, Werner W., 1978. "Institutional approaches to public expenditure : Empirical evidence from Swiss municipalities," Journal of Public Economics, Elsevier, vol. 9(2), pages 255-280, April.
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    10. Muhammed N. Islam & Saud A. Choudhury, 1990. "Testing the Exogeneity of Grants to Local Governments," Canadian Journal of Economics, Canadian Economics Association, vol. 23(3), pages 676-692, August.
    11. Matz Dahlberg & Eva Johansson, 2000. "An examination of the dynamic behaviour of local governments using GMM bootstrapping methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(4), pages 401-416.
    12. Aronsson, Thomas & Wikstrom, Magnus, 1996. "Local public expenditure in Sweden a model where the median voter is not necessarily decisive," European Economic Review, Elsevier, vol. 40(9), pages 1705-1716, December.
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    14. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    15. Becker, Elizabeth, 1996. "The Illusion of Fiscal Illusion: Unsticking the Flypaper Effect," Public Choice, Springer, vol. 86(1-2), pages 85-102, January.
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    17. Holtz-Eakin, Douglas & Rosen, Harvey S, 1991. "Municipal Labor Demand in the Presence of Uncertainty: An Econometric Approach," Journal of Labor Economics, University of Chicago Press, vol. 9(3), pages 276-293, July.
    18. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    Cited by:

    1. Vlachos, Jonas, 2005. "Does Labour Market Risk Increase the Size of the Public Sector? Evidence from Swedish Municipalities," CEPR Discussion Papers 5091, C.E.P.R. Discussion Papers.
    2. Åsa Ahlin & Eva Johansson, 2001. "Individual Demand for Local Public Schooling: Evidence from Swedish Survey Data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 8(4), pages 331-351, August.
    3. Svaleryd, Helena, 2002. "Femal Representation - Is it Important for Policy Decisions?," Research Papers in Economics 2002:7, Stockholm University, Department of Economics.
    4. Ismael Sanz & Francisco Javier Velázquez, 2002. "Determinants of the Composition of Government Expenditure by Functions," European Economy Group Working Papers 13, European Economy Group.
    5. Mörk, Eva, 2003. "The impact of active labor market programs on municipal services," Working Paper Series 2003:2, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Inna Verbina & Abdur Chowdhury, 2004. "What determines public education expenditures in Russia?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 12(3), pages 489-508, September.

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    More about this item

    Keywords

    PUBLIC GOODS ; DEMAND ; MODELS;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures

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