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TA Re-examination of Wagner’s Law Based on Disaggregated U.S. State-Local Government Expenditure

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  • Saeid Mahdavi

    (The University of Texas at San Antonio)

Abstract

We used U.S. state-local data on real government expenditure and personal income over the period 1957-2006 to test the validity of Wagner’s law. Our informal analysis of level data provided prima facie evidence in favor of Wagner’s law. In particular, total expenditure and several of its sub-categories grew at rates (significantly) above the rate of growth of personal income. However, our formal analysis- based on two cointegration techniques- provided consistent evidence suggesting that, with the exception of social services and income maintenance spending to income ratio (ssim), no other spending ratio was part of a cointegrating relationship with real per capita personal income (pcpi) and, thus, error-corrected over time. Moreover, ssim was found to have an income elasticity coefficient consistent with Wagner’s law and part of a (bidirectional) causal relationship with pcpi. Our findings imply that the ability to counter cyclically adjust “public welfare” spending during the current economic downturn may be limited and federal assistance may bring a welcome relief to state and local governments.

Suggested Citation

  • Saeid Mahdavi, 2009. "TA Re-examination of Wagner’s Law Based on Disaggregated U.S. State-Local Government Expenditure," Working Papers 0101, College of Business, University of Texas at San Antonio.
    • Handle: RePEc:tsa:wpaper:0129eco
    as

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    References listed on IDEAS

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    1. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    2. Attiat F. Ott & Richard J. Cebula (ed.), 2006. "The Elgar Companion to Public Economics," Books, Edward Elgar Publishing, number 3537.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    5. Anisul Islam, 2001. "Wagner's law revisited: cointegration and exogeneity tests for the USA," Applied Economics Letters, Taylor & Francis Journals, vol. 8(8), pages 509-515.
    6. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    7. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    8. Henrekson, Magnus, 1993. "Wagner's Law--A Spurious Relationship?," Public Finance = Finances publiques, , vol. 48(3), pages 406-415.
    9. Overbye, Einar, 1995. "Explaining Welfare Spending," Public Choice, Springer, vol. 83(3-4), pages 313-335, June.
    10. Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
    11. Thomas L. Gais, 2009. "Stretched Net: The Retrenchment of State and Local Social Welfare Spending Before the Recession," Publius: The Journal of Federalism, CSF Associates Inc., vol. 39(3), pages 557-579, Summer.
    12. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    13. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
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    More about this item

    Keywords

    Wagner’s law; state and local governments; public expenditures; cointegration.;
    All these keywords.

    JEL classification:

    • H7 - Public Economics - - State and Local Government; Intergovernmental Relations
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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