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Oil Price Shocks and Economic Growth in the Us

Author

Listed:
  • Michael Alexeev

    (Indiana University)

  • Yao-Yu Chih

    (Texas State University)

Abstract

We apply both conventional and spatial techniques to panel data for US states to examine the effects of plausibly exogenous oil price shocks on economic growth. Contrary to the oil curse claims, we find that oil price shocks have numerically moderate but highly statistically significant positive direct effects on growth while the indirect effects are insignificant. We also find that positive impact of oil occurs only in states with a high value of the economic freedom index. In a technical contribution to the spatial econometrics literature we propose a procedure for estimating marginal effects of oil price shocks in a model with interaction terms. In addition, we show that the cumulative direct oil price effects on economic growth are persistent over time.

Suggested Citation

  • Michael Alexeev & Yao-Yu Chih, 2017. "Oil Price Shocks and Economic Growth in the Us," CAEPR Working Papers 2017-011, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  • Handle: RePEc:inu:caeprp:2017011
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    References listed on IDEAS

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    1. Markus Brückner & Antonio Ciccone & Andrea Tesei, 2012. "Oil Price Shocks, Income, and Democracy," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 389-399, May.
    2. Halvor Mehlum & Karl Moene & Ragnar Torvik, 2006. "Institutions and the Resource Curse," Economic Journal, Royal Economic Society, vol. 116(508), pages 1-20, January.
    3. Nicolas DEBARSY (CERPE De Namur) & Cem ERTUR & James P. LeSAGE, 2010. "Interpreting Dynamic Space-Time Panel Data Models," LEO Working Papers / DR LEO 800, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    4. Cornwall, Gary J. & Parent, Olivier, 2017. "Embracing heterogeneity: the spatial autoregressive mixture model," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 148-161.
    5. Christa N. Brunnschweiler, 2009. "Oil and Growth in Transition Countries," OxCarre Working Papers 029, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    6. Ying Fang & Li Qi & Yang Zhao, 2013. "The “Curse of Resources” Revisited: A Different Story from China," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    7. James P. LeSage & R. Kelley Pace, 2014. "The Biggest Myth in Spatial Econometrics," Econometrics, MDPI, vol. 2(4), pages 1-33, December.
    8. James Cust & Steven Poelhekke, 2015. "The Local Economic Impacts of Natural Resource Extraction," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 251-268, October.
    9. Guy Michaels, 2011. "The Long Term Consequences of Resource‐Based Specialisation," Economic Journal, Royal Economic Society, vol. 121(551), pages 31-57, March.
    10. James, Alex & Aadland, David, 2011. "The curse of natural resources: An empirical investigation of U.S. counties," Resource and Energy Economics, Elsevier, vol. 33(2), pages 440-453, May.
    11. LeSage, James P. & Chih, Yao-Yu, 2016. "Interpreting heterogeneous coefficient spatial autoregressive panel models," Economics Letters, Elsevier, vol. 142(C), pages 1-5.
    12. Alexeev, Michael & Chernyavskiy, Andrey, 2015. "Taxation of natural resources and economic growth in Russia's regions," Economic Systems, Elsevier, vol. 39(2), pages 317-338.
    13. Francesco Caselli & Guy Michaels, 2013. "Do Oil Windfalls Improve Living Standards? Evidence from Brazil," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 208-238, January.
    14. Frederick van der Ploeg, 2011. "Natural Resources: Curse or Blessing?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 366-420, June.
    15. Oleg Lugovoy & Vladimir V. Dashkeyev & Ilya Mazaev & Denis Fomchenko & Albert Hecht, 2007. "Analysis of Economic Growth in Regions: Geographical and Institutional Aspect," Published Papers 5, Gaidar Institute for Economic Policy, revised 2007.
    16. Zuo, Na & Jack, Schieffer, 2014. "Are Resources a Curse? An Investigation of Chinese Provinces," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162429, Southern Agricultural Economics Association.
    17. Frankel, Jeffrey A., 2010. "The Natural Resource Curse: A Survey," Scholarly Articles 4454156, Harvard Kennedy School of Government.
    18. Michael Alexeev & Andrey Chernyavskiy, 2014. "The Effect of Oil on Regional Growth in Russia and the United States: A Comparative Analysis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 56(4), pages 517-535, December.
    19. Alexeev, Michael & Conrad, Robert, 2011. "The natural resource curse and economic transition," Economic Systems, Elsevier, vol. 35(4), pages 445-461.
    20. Lee, Lung-fei & Yu, Jihai, 2010. "A Spatial Dynamic Panel Data Model With Both Time And Individual Fixed Effects," Econometric Theory, Cambridge University Press, vol. 26(2), pages 564-597, April.
    21. James, Alexander G. & James, Robert G., 2011. "Do resource dependent regions grow slower than they should?," Economics Letters, Elsevier, vol. 111(3), pages 194-196, June.
    22. Libman, Alexander, 2013. "Natural resources and sub-national economic performance: Does sub-national democracy matter?," Energy Economics, Elsevier, vol. 37(C), pages 82-99.
    23. Steven Yamarik, 2013. "State-Level Capital And Investment: Updates And Implications," Contemporary Economic Policy, Western Economic Association International, vol. 31(1), pages 62-72, January.
    24. Frederick Van Der Ploeg & Steven Poelhekke, 2017. "The Impact of Natural Resources: Survey of Recent Quantitative Evidence," Journal of Development Studies, Taylor & Francis Journals, vol. 53(2), pages 205-216, February.
    25. Elissaios Papyrakis & Ohad Raveh, 2014. "An Empirical Analysis of a Regional Dutch Disease: The Case of Canada," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(2), pages 179-198, June.
    26. Michael Alexeev & Robert Conrad, 2009. "The Elusive Curse of Oil," The Review of Economics and Statistics, MIT Press, vol. 91(3), pages 586-598, August.
    27. Parent, Olivier & LeSage, James P., 2012. "Spatial dynamic panel data models with random effects," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 727-738.
    28. Papyrakis, Elissaios & Gerlagh, Reyer, 2007. "Resource abundance and economic growth in the United States," European Economic Review, Elsevier, vol. 51(4), pages 1011-1039, May.
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    More about this item

    Keywords

    oil curse; regional economic growth; spatial lags;
    All these keywords.

    JEL classification:

    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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