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A comparison of employment growth and stability before and after the fort worth tornado

*Corresponding author for this work
  • Texas Tech University
    ,
  • East Carolina University
    ,
  • Stephen F. Austin State University
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

This study examined the time series pattern of employment growth and stability in Fort Worth, Texas taking into account the March 28, 2000 tornado. The tornado is treated econometrically as an intervention and both the mean and conditional variance of employment growth were estimated. Overall, this regional labor market experienced a decline in the employment growth rate following the tornado. Among the sectors that exhibited differences in employment dynamics between the pre- and post-tornado periods, the mining sector experienced a significant increase in employment growth following the tornado while the service andwholesale, retail trade sectors experienced significant declines in employment growth in the post-tornado period. The manufacturing, service, and wholesale, retail trade sectors were characterized by greater stability (i.e., a lower level of employment growth volatility) in the post-tornado period than in the pre-tornado period. Interestingly, in several sectors, no differences in the time series dynamics of employment growth were detected between the pre- and post-tornado periods. These sectors included construction, finance, insurance, real estate, government, and transportation and public utilities.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 83-91 (9 pages)

Journal (Volume, Issue Number)

Environmental Hazards (Volume 5, Issue 2)

Publication milestones

  • Published - 01/01/2003

Publication status

Published - 01/01/2003

ISSN

1747-7891

Publication IDs

  • Scopus: 4344598336

Publication metrics

Metrics

Scopus
citations
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1
SciVal
FWCI
0.63
SciVal
Author count
3
SciVal
citations
33
SciVal
Paper percentile
79

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Mentions
1
Captures
25
Citation count
46

Funding Details

This work was performed under the US Department of Commerce, National Institute of Standards and Technology/Texas Tech University Cooperative Agreement (Award 70NANB8H0059). The authors thank Susan Cutter and two anonymous reviewers for helpful comments on an earlier draft of this paper.
FundersFunding number
National Institute of Standards and Technology/Texas Tech University
70NANB8H0059
DOC
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