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What Goes Up Must Come Down? A Case Study of the Recent Oil and Gas Employment Cycle in Louisiana, North Dakota and Oklahoma

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  • Rickman, Dan S.
  • Wang, Hongbo

Abstract

The recent boom and bust in the oil and natural gas sector provide a unique opportunity to assess whether the employment impacts of energy development are symmetric across the differing phases of the energy cycle. This study uses the synthetic control method to examine the boom and bust effects for three key oil and natural gas producing states: Louisiana, North Dakota, and Oklahoma. The three states are chosen as case studies because of their relative intensity in oil production in addition to their production of natural gas. Because of Hurricane Katrina, we examine Louisiana sans New Orleans. The three states also most closely match each other in cyclic movements relative to other energy producing states. The results reveal differing employment impacts across the three states in both the short and long run, with the differences at least in part suggested to be connected to state and local government education expenditure responses to the boom and bust, particularly in terms of their effects on public school teacher salaries.

Suggested Citation

  • Rickman, Dan S. & Wang, Hongbo, 2018. "What Goes Up Must Come Down? A Case Study of the Recent Oil and Gas Employment Cycle in Louisiana, North Dakota and Oklahoma," MPRA Paper 87252, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:87252
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    1. Charles F. Mason & Lucija A. Muehlenbachs & Sheila M. Olmstead, 2015. "The Economics of Shale Gas Development," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 269-289, October.
    2. Munasib, Abdul & Rickman, Dan S., 2015. "Regional economic impacts of the shale gas and tight oil boom: A synthetic control analysis," Regional Science and Urban Economics, Elsevier, vol. 50(C), pages 1-17.
    3. Maniloff, Peter & Mastromonaco, Ralph, 2017. "The local employment impacts of fracking: A national study," Resource and Energy Economics, Elsevier, vol. 49(C), pages 62-85.
    4. Marchand, Joseph, 2012. "Local labor market impacts of energy boom-bust-boom in Western Canada," Journal of Urban Economics, Elsevier, vol. 71(1), pages 165-174.
    5. Agerton, Mark & Hartley, Peter R. & Medlock, Kenneth B. & Temzelides, Ted, 2017. "Employment impacts of upstream oil and gas investment in the United States," Energy Economics, Elsevier, vol. 62(C), pages 171-180.
    6. Ron Cheung & Daniel Wetherell & Stephan D. Whitaker, 2016. "Earthquakes and House Prices: Evidence from Oklahoma," Working Papers (Old Series) 1631, Federal Reserve Bank of Cleveland.
    7. Jason Brown, 2014. "Production of natural gas from shale in local economies: a resource blessing or curse?," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 1-29.
    8. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    9. Brown, Jason P. & Fitzgerald, Timothy & Weber, Jeremy G., 2016. "Capturing rents from natural resource abundance: Private royalties from U.S. onshore oil & gas production," Resource and Energy Economics, Elsevier, vol. 46(C), pages 23-38.
    10. Weinstein, Amanda L., 2014. "Local Labor Market Restructuring in the Shale Boom," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 44(1).
    11. Narayan Sastry & Jesse Gregory, 2014. "The Location of Displaced New Orleans Residents in the Year After Hurricane Katrina," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 753-775, June.
    12. Tsvetkova, Alexandra & Partridge, Mark D., 2016. "Economics of modern energy boomtowns: Do oil and gas shocks differ from shocks in the rest of the economy?," Energy Economics, Elsevier, vol. 59(C), pages 81-95.
    13. Swanson, Michael J. & Morse, George W. & Westeren, Knut Ingar, 1999. "Regional Purchase Coefficients Estimates from Value-Added Tax Data," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 29(2), pages 1-20.
    14. Sachs, Jeffrey D. & Warner, Andrew M., 2001. "The curse of natural resources," European Economic Review, Elsevier, vol. 45(4-6), pages 827-838, May.
    15. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    16. Gylfason, Thorvaldur, 2001. "Natural resources, education, and economic development," European Economic Review, Elsevier, vol. 45(4-6), pages 847-859, May.
    17. Stephan J Goetz & Mark D Partridge & Dan S Rickman & Shibalee Majumdar, 2011. "Sharing the Gains of Local Economic Growth: Race-to-the-Top versus Race-to-the-Bottom Economic Development," Environment and Planning C, , vol. 29(3), pages 428-456, June.
    18. Paredes, Dusan & Komarek, Timothy & Loveridge, Scott, 2015. "Income and employment effects of shale gas extraction windfalls: Evidence from the Marcellus region," Energy Economics, Elsevier, vol. 47(C), pages 112-120.
    19. Rickman, Dan S. & Wang, Hongbo & Winters, John V., 2017. "Is shale development drilling holes in the human capital pipeline?," Energy Economics, Elsevier, vol. 62(C), pages 283-290.
    20. Komarek, Timothy M., 2016. "Labor market dynamics and the unconventional natural gas boom: Evidence from the Marcellus region," Resource and Energy Economics, Elsevier, vol. 45(C), pages 1-17.
    21. Weber, Jeremy G., 2012. "The effects of a natural gas boom on employment and income in Colorado, Texas, and Wyoming," Energy Economics, Elsevier, vol. 34(5), pages 1580-1588.
    22. Dan S. Rickman & Shane D. Rickman, 2011. "Population Growth In High‐Amenity Nonmetropolitan Areas: What'S The Prognosis?," Journal of Regional Science, Wiley Blackwell, vol. 51(5), pages 863-879, December.
    23. James Feyrer & Erin T. Mansur & Bruce Sacerdote, 2017. "Geographic Dispersion of Economic Shocks: Evidence from the Fracking Revolution," American Economic Review, American Economic Association, vol. 107(4), pages 1313-1334, April.
    24. Grant D. Jacobsen & Dominic P. Parker, 2016. "The Economic Aftermath of Resource Booms: Evidence from Boomtowns in the American West," Economic Journal, Royal Economic Society, vol. 126(593), pages 1092-1128, June.
    25. Haggerty, Julia & Gude, Patricia H. & Delorey, Mark & Rasker, Ray, 2014. "Long-term effects of income specialization in oil and gas extraction: The U.S. West, 1980–2011," Energy Economics, Elsevier, vol. 45(C), pages 186-195.
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    More about this item

    Keywords

    Energy Boom; Resource Curse; Synthetic Control Method;
    All these keywords.

    JEL classification:

    • Q33 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Resource Booms (Dutch Disease)
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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