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Dynamic modeling of interregional economic activity: An application to the Spanish labour market

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Papers in Regional Science

Abstract

This paper focuses on the dynamic relations between Spain's principal regional labor markets. An economic base mechanism, some of whose assumptions are redefined, is postulated as the essential behavior hypothesis. The bifurcation hypothesis is resolved having regard to the necessary condition of cointegration between the basic sector and the regional aggregate, using series with quarterly periodicity in this case. The identified bases, which need not coincide in each region, allow a dynamic inter-regional model to be built using vector autoregression with an error correction mechanism. The results are a step towards the spatial disaggregation of Spain's labor market and reveal singular dynamic relationships.

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References

  • Akaike, H., 1973. Information theory and an extension of the maximum likelihood principle. In2nd. International symposium of information theory, eds. B. N. Petrov and F. Csaki, pp. 267–281. Budapest: Acadmiai Kiado.

    Google Scholar 

  • Akaike, H., 1974. A new look at the statistical model identification.IEEE Transactions on Automatic Control, AC-19: 716–723.

    Article  Google Scholar 

  • Banerjee, A., Dolado, J., Galbraith, J.W. and Hendry, D.F., 1993.Co-integration, error correction, and the econometric analysis of non-stationary data. Oxford: Oxford University Press.

    Google Scholar 

  • Bealieu, J.J. and Miron, J.A., 1993. Seasonal unit roots in aggregate U.S. data.Journal of Econometrics, 55: 305–328.

    Article  Google Scholar 

  • Bond, D., 1990. Dynamic regional multipliers and the economic base: An application of applied econometric techniques.Papers of the Regional Science Association, 69: 21–30.

    Article  Google Scholar 

  • Box, G.E.P. and Jenkins, G.M., 1970.Time series analysis: forecasting and control. San Francisco: Holden-Day.

    Google Scholar 

  • Brown, S.J., Coulson, N.E. and Engle, R.F., 1992. On the determination of regional base and regional base multipliers.Regional Science and Urban Economics, 22: 619–635.

    Article  Google Scholar 

  • Charemza, W.W. and Deadman, D.F., 1992.Econometric practice. general to specific modeling, cointegration and vector autoregression. Aldershot: Edward Elgar Publishing.

    Google Scholar 

  • Dickey, D.A., Hasza, D.P. and Fuller, W.A., 1984. Testing for a unit root in seasonal time series.Journal of the American Statistical Association, 79: 355–367.

    Article  Google Scholar 

  • Dickey, D.A. and Pantula, S.G., 1987. Determining the order of differencing in autoregressive processes.Journal of Business and Economic Statistics, 15: 455–461.

    Article  Google Scholar 

  • Engle, R.F. and Granger, C.W.J., 1987. Co-integration and error correction: Representation, estimation and testing.Econometrica, 55: 251–276.

    Google Scholar 

  • Engle, R.F., Granger, C.W.J. and Hallman, J.J., 1988. Merging short and long-run forecasts. An application of seasonal cointegration to monthly electricity sales forecasting.Journal of Econometrics, 40: 45–62.

    Article  Google Scholar 

  • Engle, R.F., Granger, C.W.J., Hylleberg, S. and Lee, H.S., 1993. Seasonal cointegration. The Japanese consumption function.Journal of Econometrics, 55: 275–298.

    Article  Google Scholar 

  • Engle, R.F. and Yoo, B.S., 1987. Forecasting and testing in cointegrated systems.Journal of Econometrics, 35: 143–159.

    Article  Google Scholar 

  • Fuller, W., 1976.Introduction to statistical time series. New York: Wiley and Sons.

    Google Scholar 

  • Gonzalo, J., 1994. Five alternative methods of estimating long-run equilibrium relationships.Journal of Econometrics, 60: 203–233.

    Article  Google Scholar 

  • Granger, C.W.J., 1969. Investigating causal relations by econometric models and cross-spectral methods.Econometrica, 37: 424–438.

    Google Scholar 

  • Granger, C.W.J., 1980. Testing for causality: A personal viewpoint.Journal of Economic Dynamics and Control, 2: 329–352.

    Article  Google Scholar 

  • Granger, C.W.J., 1988. Some recent developments in a concept of causality.Journal of Econometrics, 39: 199–211.

    Article  Google Scholar 

  • Granger, C.W.J. and Newbold, P., 1974. Spurious regressions in econometrics.Journal of Econometrics, 26: 1045–1066.

    Google Scholar 

  • Hylleberg, S., Engle, R.F., Granger, C.W.J., and Yoo, B.S., 1990. Seasonal integration and cointegration.Journal of Econometrics, 44: 215–238.

    Article  Google Scholar 

  • Ilmakunnas, P., 1990. Testing the order of differencing in quarterly data: An illustration of the testing sequence.Oxford Bulletin of Economics and Statistics, 52: 79–88.

    Article  Google Scholar 

  • Isserman, A., 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., 1988. Statistical analysis of cointegration vectors.Journal of Economic Dynamics and Control, 12: 231–254.

    Article  Google Scholar 

  • Johansen, S. and Juselius, K., 1990. Maximum likelihood estimation and inference on cointegration-with applications to the demand for money.Oxford Bulletin of Economics and Statistics, 52: 169–210.

    Article  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 

  • Lesage, J.P., 1990. Forecasting metropolitan employment using an export-base error-correction model.Journal of Regional Science, 30: 307–323.

    Google Scholar 

  • Lesage, J.P., 1993. Modeling dynamic interindustry regional growth in the presence of structural shifts and outliers.Journal of Regional Science, 33: 365–385.

    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.

    Article  Google Scholar 

  • Lopez, E., 1994. Disparidades económicas y homogeneidad en el crecimiento regional. Un enfoque basado en la población ocupada (1977–1992). Unpublished Ph.D. dissertation, Department of Econometrics, University of Barcelona.

  • Lütkepohl, H., 1991.Introduction to multiple time series analysis. Berlin: Springer Verlag.

    Google Scholar 

  • Merrifield, J., 1987. A neoclassical anatomy of the economic base multiplier.Journal of Regional Science, 27: 283–294.

    Google Scholar 

  • Merrifield, J., 1990. A practical note on the neoclassical economic base marginal multiplier.Journal of Regional Science, 30: 123–127.

    Google Scholar 

  • Osborn, D.R., Chui, A.P.L., Smith, J.P. and Birchenhall, C.R., 1988. Seasonality and the order of integration for consumption.Oxford Bulletin of Economics and Statistics, 50: 361–378.

    Article  Google Scholar 

  • Osterwald-Lenum, M., 1992. A note with fractiles of the asymptotic distribution of the maximum likelihood cointegration rank test statistics: Four cases.Oxford Bulletin of Economics and Statistics, 54: 461–472.

    Google Scholar 

  • Richardson, H., 1985. Input-output and economic base multipliers: Looking backward and forward.Journal of Regional Science, 25: 607–661.

    Google Scholar 

  • Schwarz, G., 1978. Estimating the dimension of a model.Annals of Statistics, 6: 461–464.

    Google Scholar 

  • Stock, J.H., 1987. Asymptotic properties of least squares estimators of cointegration vectors.Econometrica, 55: 1035–1056.

    Google Scholar 

  • Toda, H.Y. and Phillips, P.C.B., 1993. Vector Autoregressions and Causality.Econometrica, 61: 1367–1393.

    Google Scholar 

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Mur, J., Trivez, F.J. Dynamic modeling of interregional economic activity: An application to the Spanish labour market. Papers in Regional Science 75, 463–481 (1996). https://doi.org/10.1007/BF02412290

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