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Business Sector Production in the Short and Long Run in Israel

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  • Michael Beenstock

Abstract

Engle-Granger representation theory is used to estimate the secular and cyclical determinants of business output in Israel during 1960–1988. The specification of the secular production function is based on the technique of cointegration, while the cyclical, or short-term, production function is specified in terms of an error correction model. In the preferred model of the secular production function returns to scale are slightly increasing and the productivity of Palestinian workers is approximately 40 percent of Israeli workers. In the short-term production function total factor productivity is pro-cyclical. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • Michael Beenstock, 1997. "Business Sector Production in the Short and Long Run in Israel," Journal of Productivity Analysis, Springer, vol. 8(1), pages 53-69, March.
    • Handle: RePEc:kap:jproda:v:8:y:1997:i:1:p:53-69
    DOI: 10.1023/A:1007724414825
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    References listed on IDEAS

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    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    3. 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.
    4. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393.
    5. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.
    6. Evans, Michael K, 1970. "An Econometric Model of the Israeli Economy, 1952-65," Econometrica, Econometric Society, vol. 38(5), pages 624-660, September.
    7. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    8. Salkever, David S., 1976. "The use of dummy variables to compute predictions, prediction errors, and confidence intervals," Journal of Econometrics, Elsevier, vol. 4(4), pages 393-397, November.
    9. Michael Bruno & Jeffrey D. Sachs, 1985. "Economics of Worldwide Stagflation," NBER Books, National Bureau of Economic Research, Inc, number brun85-1, January.
    10. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    11. Hakkio, Craig S. & Rush, Mark, 1991. "Cointegration: how short is the long run?," Journal of International Money and Finance, Elsevier, vol. 10(4), pages 571-581, December.
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    Cited by:

    1. Beenstock, Michael & Azoulay, Eddy & Offenbacher, Akiva & Sulla, Olga, 2003. "A macroeconometric model with oligopolistic banks: monetary control, inflation and growth in Israel," Economic Modelling, Elsevier, vol. 20(3), pages 455-486, May.
    2. Gad Allon & Michael Beenstock & Steven Hackman & Ury Passy & Alexander Shapiro, 2007. "Nonparametric estimation of concave production technologies by entropic methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 795-816.

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