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Twister! Employment responses to the 3 May 1999 Oklahoma City tornado

Listed author(s):
  • Bradley Ewing
  • Jamie Kruse
  • Mark Thompson

This research examined the impact of the 3 May 1999 tornado on the Oklahoma City labour market. We estimated time series models that allow for time-varying variance in employment growth. The models include intervention variables designed to capture the tornado's effect at initial impact as well as over the post-tornado period. In terms of total employment growth, the Oklahoma City Metropolitan Statistical Area (MSA) experienced an increase in employment growth and a reduction in labour market risk in the sample period following the tornado. The analysis also examined the effect of the weather event on eight industrial sectors. Five of eight sectors experienced significant decreases in labour market risk after the tornado. Our evidence suggests that Oklahoma City and surrounding communities that make up the Metropolitan Statistical Area survived the disaster without suffering any extended adverse labour market effects. Our results indicate that at least in the aggregate, the labour market improved. “… what has so often excited wonder, the great rapidity with which countries recover from a state of devastation; the disappearance, in a short time, of all traces of the mischiefs done by earthquakes, floods, hurricanes, and the ravages of war … all the inhabitants are ruined, and yet in a few years after, everything is much as it was before.” - J.S. Mill (1848)

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File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840601007468
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Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 41 (2009)
Issue (Month): 6 ()
Pages: 691-702

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Handle: RePEc:taf:applec:v:41:y:2009:i:6:p:691-702
DOI: 10.1080/00036840601007468
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  1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
  2. Paulo Guimaraes & Frank L. Hefner & Douglas P. Woodward, 1993. "Wealth And Income Effects Of Natural Disasters: An Econometric Analysis Of Hurricane Hugo," The Review of Regional Studies, Southern Regional Science Association, vol. 23(2), pages 97-114, Fall.
  3. James Payne & Bradley Ewing & Erik George, 1999. "Time series dynamics of US State unemployment rates," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1503-1510.
  4. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
  5. Adam Rose & Shu-Yi Liao, 2005. "Modeling Regional Economic Resilience to Disasters: A Computable General Equilibrium Analysis of Water Service Disruptions," Journal of Regional Science, Wiley Blackwell, vol. 45(1), pages 75-112.
  6. Bradley T. Ewing & Jamie Brown Kruse, 2002. "The Impact of Project Impact on the Wilmington, North Carolina, Labor Market," Public Finance Review, , vol. 30(4), pages 296-309, July.
  7. Lastrapes, William D, 1989. "Exchange Rate Volatility and U.S. Monetary Policy: An ARCH Application," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 21(1), pages 66-77, February.
  8. Mark Skidmore & Hideki Toya, 2002. "Do Natural Disasters Promote Long-Run Growth?," Economic Inquiry, Western Economic Association International, vol. 40(4), pages 664-687, October.
  9. Ewing, Bradley T. & Kruse, Jamie Brown & Thompson, Mark A., 2004. "Employment Dynamics and the Nashville Tornado," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 34(2).
  10. David Merrell & Kevin M. Simmons & Daniel Sutter, 2005. "The Determinants of Tornado Casualties and the Benefits of Tornado Shelters," Land Economics, University of Wisconsin Press, vol. 81(1).
  11. Caballero, Ricardo J & Engel, Eduardo M R A & Haltiwanger, John, 1997. "Aggregate Employment Dynamics: Building from Microeconomic Evidence," American Economic Review, American Economic Association, vol. 87(1), pages 115-137, March.
  12. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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