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State Government Expenditure Determinants and Tax Revenue Determinants Revisited

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  • Merrifield, John

Abstract

The primary aim of the research was to test the general hypothesis that many institutional and political variables affect fiscal outcomes; that the preferences of public officials, and the decision processes used to act on those preferences, matter. State government data (state only, not state and local) from 1980, 1985, and 1990 were used to specify state tax revenue and expenditure models. A previous (Merrifield, 1991) state tax revenue model identified many significant institutional and political variables, but it was based only on 1985 data (49 observations). The larger data set (147 observations), including better data for some of the variables, indicated that most of Merrifield's (1991) findings are robust. The state expenditure models facilitated a second test of the general institutional and political variable hypothesis, as well as the hypotheses about specific variables. The expenditure model also facilitated comparisons of expenditure and tax determinants, and comparisons with results published in the literature. Though there are some noteworthy differences between the expenditure and tax models, the expenditure models also supported many of the institutional and political variable hypotheses. Copyright 2000 by Kluwer Academic Publishers

Suggested Citation

  • Merrifield, John, 2000. "State Government Expenditure Determinants and Tax Revenue Determinants Revisited," Public Choice, Springer, vol. 102(1-2), pages 25-50, January.
  • Handle: RePEc:kap:pubcho:v:102:y:2000:i:1-2:p:25-50
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    Cited by:

    1. Simo Leppänen & Laura Solanko & Riitta Kosonen, 2017. "The Impact of Climate Change on Regional Government Expenditures: Evidence from Russia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(1), pages 67-92, May.
    2. Gebremeskel Gebremariam & Tesfa Gebremedhin & Peter Schaeffer, 2012. "County-level determinants of local public services in Appalachia: a multivariate spatial autoregressive model approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 175-190, August.
    3. John D. Merrifield & Barry W. Poulson, 2016. "A Dynamic Scoring Simulation Analysis of How TEL Design Choices Impact Government Expansion," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 4(2), pages 60-68, April.
    4. List, John A & Bulte, Erwin H & Shogren, Jason F, 2002. ""Beggar Thy Neighbor": Testing for Free Riding in State-Level Endangered Species Expenditures," Public Choice, Springer, vol. 111(3-4), pages 303-315, June.
    5. David L. Sjoquist & Mary Beth Walker & Sally Wallace, 2005. "Estimating Differential Responses to Local Fiscal Conditions: A Mixture Model Analysis," Public Finance Review, , vol. 33(1), pages 36-61, January.
    6. Douglas Noonan, 2007. "Fiscal pressures, institutional context, and constituents: a dynamic model of states’ arts agency appropriations," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(4), pages 293-310, December.
    7. Magazzino, Cosimo, 2010. "Public expenditure and revenue in Italy, 1862-1993," MPRA Paper 27308, University Library of Munich, Germany.
    8. Leppänen, Simo & Solanko, Laura & Kosonen, Riitta, 2015. "Could climate change affect government expenditures? Early evidence from the Russian regions," BOFIT Discussion Papers 27/2015, Bank of Finland, Institute for Economies in Transition.
    9. repec:zbw:bofitp:2015_027 is not listed on IDEAS
    10. John G. Matsusaka, 2018. "Public policy and the initiative and referendum: a survey with some new evidence," Public Choice, Springer, vol. 174(1), pages 107-143, January.
    11. Wasi Ul Islam & Hafiz Muhammad Abubakar Siddique, 2017. "Determinants of Low Tax Revenue: A panel Data Analysis," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 6(1), pages 28-34, March.
    12. Saeid Mahdavi, 2013. "State Government Tax Revenue, Tax Revenue Composition and Tax Effort Index: An Assessment of the 1978-97 period," Working Papers 0213eco, College of Business, University of Texas at San Antonio.
    13. Manuel Ja n-Garc a, 2017. "A Demand Determinants Model for Public Spending in Spain," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 372-386.
    14. Zhou, Shuya & Zhou, Peiyan & Ji, Hannah, 2022. "Can digital transformation alleviate corporate tax stickiness: The mediation effect of tax avoidance," Technological Forecasting and Social Change, Elsevier, vol. 184(C).

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