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The Impact of Project Impact on the Wilmington, North Carolina, Labor Market

Author

Listed:
  • Bradley T. Ewing

    (Texas Tech University)

  • Jamie Brown Kruse

    (Texas Tech University)

Abstract

In 1997, the Federal Emergency Management Agency (FEMA) announced a new initiative called Project Impact. The initiative was designed to make communities more resistant and resilient to the disruption and disaster associated with natural hazards. One of the pilot communities was Wilmington/New Hanover County, North Carolina, an area susceptible to hurricanes and tropical storms. This article examines the impact of Project Impact on this community’s labor market, allowing for the disturbances caused by the storms themselves. The findings suggest that the activities and coordination efforts associated with Project Impact coincide with improvements in the Wilmington labor market characterized by a lower natural unemployment rate and a reduction of labor market risk. These findings may be taken as evidence that Project Impact can improve the performance of a local economy. The results suggest that at the very least, increased interaction between public and private sectors may be associated with improved labor market conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:sae:pubfin:v:30:y:2002:i:4:p:296-309
    DOI: 10.1177/109421030004003
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    References listed on IDEAS

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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. Joseph Stiglitz, 1997. "Reflections on the Natural Rate Hypothesis," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 3-10, Winter.
    5. Philip Rothman, 1998. "Forecasting Asymmetric Unemployment Rates," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 164-168, February.
    6. 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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    Cited by:

    1. Sutter Daniel & Ewing Bradley T., 2016. "State of Knowledge of Economic Value of Current and Improved Hurricane Forecasts," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 11(1), pages 45-64, June.
    2. Kelly D. Edmiston, 2017. "Financial Vulnerability and Personal Finance Outcomes of Natural Disasters," Research Working Paper RWP 17-9, Federal Reserve Bank of Kansas City.
    3. Greenberg, Michael & Mantell, Nancy & Lahr, Michael & Felder, Frank & Zimmerman, Rae, 2007. "Short and intermediate economic impacts of a terrorist-initiated loss of electric power: Case study of New Jersey," Energy Policy, Elsevier, vol. 35(1), pages 722-733, January.
    4. Bradley Ewing & Jamie Kruse & Yongsheng Wang, 2007. "Local housing price index analysis in wind-disaster-prone areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 40(2), pages 463-483, February.
    5. Michael R. Greenberg & Michael Lahr & Nancy Mantell, 2007. "Understanding the Economic Costs and Benefits of Catastrophes and Their Aftermath: A Review and Suggestions for the U.S. Federal Government," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 83-96, February.
    6. Bradley T. Ewing & Jamie Brown Kruse & Dan Sutter, 2007. "Hurricanes and Economic Research: An Introduction to the Hurricane Katrina Symposium," Southern Economic Journal, John Wiley & Sons, vol. 74(2), pages 315-325, October.
    7. Bradley T. Ewing & Jamie B. Kruse & Mark A. Thompson, 2010. "Measuring the Regional Economic Response to Hurricane Katrina," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 11(2), pages 80-85, July.
    8. Robert McComb & Young-Kyu Moh & Anita Schiller, 2011. "Measuring long-run economic effects of natural hazard," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(1), pages 559-566, July.
    9. Michael Greenberg, 2011. "Risk analysis and port security: some contextual observations and considerations," Annals of Operations Research, Springer, vol. 187(1), pages 121-136, July.
    10. Bradley Ewing & Jamie Kruse & Mark Thompson, 2009. "Twister! Employment responses to the 3 May 1999 Oklahoma City tornado," Applied Economics, Taylor & Francis Journals, vol. 41(6), pages 691-702.
    11. Bradley T. Ewing & Daan Liang & Yuepeng Cui, 2014. "A Time Series Approach to Examining Regional Economic Resiliency to Hurricanes," American Journal of Economics and Sociology, Wiley Blackwell, vol. 73(2), pages 369-391, April.
    12. Ewing Bradley T. & Kruse Jamie Brown & Sutter Daniel, 2009. "An Overview of Hurricane Katrina and Economic Loss," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 4(2), pages 1-14, April.
    13. Hyun Kim & David Marcouiller, 2015. "Considering disaster vulnerability and resiliency: the case of hurricane effects on tourism-based economies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 945-971, May.
    14. 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(4), pages 1-14.

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