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Using dynamic common correlated effects approach to analyze the role of sin taxes in short‐ and long‐term fiscal surplus across US states

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  • Koomin Kim

Abstract

This study empirically analyzes the role of sin taxes in short‐ and long‐run fiscal surplus and across US states via dynamic common correlated effects mean group (DCCEMG) and dynamic common correlated effects pooled mean group estimation (DCCEPMG) during a 36‐year period (1980–2015). Sin tax revenue increases long‐run fiscal surplus for all states, as shown in the log–log model; it also promotes short‐run state fiscal surplus for high‐income states, conservative state governments, and nonsouthern states. Compared to overall tax revenues that are elastic, sin taxes are inelastic revenue sources that promote states' long‐run fiscal surplus. Findings suggest that the effect of sin tax revenue on fiscal surplus varies based on state characteristics. This study contributes to the literature theoretically and practically. First, it marks an initial attempt to link sin taxes with states' fiscal conditions. Second, this study applies recent methodologies such as DCCEMG and DCCEPMG. Results offer practitioners valuable insight into the impacts of sin taxes on long‐run fiscal conditions.

Suggested Citation

  • Koomin Kim, 2022. "Using dynamic common correlated effects approach to analyze the role of sin taxes in short‐ and long‐term fiscal surplus across US states," Public Budgeting & Finance, Wiley Blackwell, vol. 42(2), pages 255-278, June.
  • Handle: RePEc:bla:pbudge:v:42:y:2022:i:2:p:255-278
    DOI: 10.1111/pbaf.12313
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    References listed on IDEAS

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    1. Jan Ditzen, 2018. "Estimating dynamic common-correlated effects in Stata," Stata Journal, StataCorp LP, vol. 18(3), pages 585-617, September.
    2. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    3. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    4. Arun K. Srinivasan & Thomas E. Lambert, 2017. "The Impact of Stagnating Casino Revenues on State and Local Governments Tax Receipts," Public Budgeting & Finance, Wiley Blackwell, vol. 37(1), pages 26-46, March.
    5. Niklas Potrafke & Markus Reischmann, 2015. "Fiscal Transfers and Fiscal Sustainability," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(5), pages 975-1005, August.
    6. 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.
    7. Jan Ditzen, 2016. "xtdcce2: Estimating dynamic common correlated effects in Stata," United Kingdom Stata Users' Group Meetings 2016 08, Stata Users Group.
    8. Richard Wagner, 1976. "Revenue structure, fiscal illusion, and budgetary choice," Public Choice, Springer, vol. 25(1), pages 45-61, March.
    9. Wagenaar, A.C. & Maldonado-Molina, M.M. & Wagenaar, B.H., 2009. "Effects of alcohol tax increases on alcohol-related disease mortality in Alaska: Time-series analyses from 1976 to 2004," American Journal of Public Health, American Public Health Association, vol. 99(8), pages 1464-1470.
    10. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    11. Oates, Wallace E., 2005. "Property taxation and local public spending: the renter effect," Journal of Urban Economics, Elsevier, vol. 57(3), pages 419-431, May.
    12. Berry, Frances Stokes & Berry, William D., 1990. "State Lottery Adoptions as Policy Innovations: An Event History Analysis," American Political Science Review, Cambridge University Press, vol. 84(2), pages 395-415, June.
    13. Crain, Mark & Deaton, Thomas & Holcombe, Randall & Tollison, Robert, 1977. "Rational choice and the taxation of sin," Journal of Public Economics, Elsevier, vol. 8(2), pages 239-245, October.
    14. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    15. Jan Ditzen, 2016. "xtdcce: Estimating Dynamic Common Correlated Effects in Stata," SEEC Discussion Papers 1601, Spatial Economics and Econometrics Centre, Heriot Watt University.
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