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A Multi-Sector Export Base Model of Long-Run Regional Employment Growth

Published online by Cambridge University Press:  15 September 2016

Brian Lego ,
Tesfa Gebremedhin  and
Brian Cushing
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Abstract

The relationships between intersectoral export and local employment and regional economic growth are analyzed in a long-run equilibrium framework. Dynamic location quotients decompose regional employment into export and local components for multiple sectors. Johansen's Full-Information Maximum Likelihood (FIML) approach is used to identify the existence and resultant rank of the co-integrating relationship between sectoral export and local employment in West Virginia's four metropolitan areas. Empirical results indicate inter-sectoral basic and non-basic employment form a co-integrating system of equations. Furthermore, this analysis shows that inter-sector shocks to local and export employment may cause multipliers to be positive or negative in magnitude.

Type
Articles
Information
Agricultural and Resource Economics Review , Volume 29 , Issue 2 , October 2000 , pp. 192 - 197
Copyright
Copyright © 2000 Northeastern Agricultural and Resource Economics Association 

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References

Engle, R., and Granger, C.W.J. 1987. “Cointegration and Error Correction: Representation, Estimation and Testing.” Econometrica 55: 251–276.Google Scholar
Giarratani, F., and McNelis, P.D. 1980. “Time Series Evidence Bearing on Crude Theories of Regional Growth.” Land Economics 56: 238–248.Google Scholar
Granger, C.W.J. 1983. “Cointegrated Variables and Error-Correcting Models.” UCSD Discussion Paper No. 83-13a, Dept. of Economics, University of California, San Diego.Google Scholar
Newbold, P. 1974. “Spurious Regressions in Econometrics.” Journal of Econometrics 2: 111–120.Google Scholar
Hamilton, J. 1994. Time Series Analysis. Princeton, NJ: Princeton University Press.Google Scholar
Henry, M.S. and Nyankori, J.C.O. 1981. “The Existence of Short-Run Economic Base Multipliers: Some New Empirical Evidence.” Land Economics 57: 448–457.Google Scholar
Isserman, A.M. 1980. “Estimating Export Activity in a Regional Economy: A Theoretical and Empirical Analysis of Alternative Methods.” International Regional Science Review 5: 155–184.Google Scholar
Johansen, S. 1991. “Estimation and Hypothesis Testing for Cointegrating Vectors in Gaussian Vector Autoregressive Models.” Econometrica 59: 1551–1580.Google Scholar
Granger, C.W.J. 1995. Likelihood-based Inference in Cointegrated Vector Autoregressive Models, Oxford: Oxford University Press.Google Scholar
Granger, C.W.J. 1990. “Maximum Likelihood Estimation and Inference on Cointegration—with Applications to the Demand for Money.” Oxford Bulletin of Economics and Statistics 52: 169–210.Google Scholar
Granger, C.W.J. 1988. “Statistical Analysis of Cointegrating Vectors.” Journal of Economic Dynamics and Control 12: 231–254.Google Scholar
Johnston, J., and DiNardo, J.S. 1997. Econometric Methods, 4d, Ed, New York: McGraw Hill, Inc. Google Scholar
Kraybill, D.S., and Dorfman, J.H. 1992. “A Dynamic Intersectoral Model of Regional Economic Growth.” Journal of Regional Science 32: 1–17.Google Scholar
Krikelas, A.C. 1992. “Why Regions Grow: A Review of Research on the Economic Base Model.” Federal Reserve Bank of Atlanta Economic Review, July/August:16-28.Google Scholar
Lesage, J.P., and Reed, J.D. 1989. “The Dynamic Relationship Between Export, Local and Total Area Employment.” Regional Science and Urban Economics 19: 615–636.Google Scholar
Lesage, J.P., and Reed, J.D. 1990. “Forecasting Metropolitan Employment Using an Export-Base Error-Correction Model.” Journal of Regional Science 30: 307–323.Google Scholar
Lutrell, C.B., and Gray, C.M. 1970. “Metropolitan Area Growth: A Test of the Export Base Concept,” Federal Reserve Bank of St. Louis Review July: 1–17.CrossRefGoogle Scholar
McNulty, J.E. 1977. “A Test of the Time Dimension in Economic Base Analysis.” Land Economics 53: 359–368.Google Scholar
Moody, H.T., and Puffer, F.W. 1970. “The Empirical Verification of the Urban Base Multiplier.” Land Economics 53: 91–98.Google Scholar
Moriarty, B. 1976. “The Distributed Lag Between Metropolitan Area Employment and Population Growth.” Journal of Regional Science 16: 195–212.Google Scholar
Osterwald-Lenum, M. (1992) “A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics,” Oxford Bulletin of Economics and Statistics 54: 461–572.Google Scholar
North, D.C. 1955. “Location Theory and Regional Economic Growth.” Journal of Political Economy 63: 243–258.Google Scholar
Richardson, H.W. 1985. “Input-Output and Economic Base Multipliers: Looking Backward and Forward.” Journal of Regional Science 25: 607–661.Google Scholar