The Single Index Market Model In Agriculture
This study illustrates the differences in empirical results due to data measurements and estimating procedures when applying the single index market model in agriculture. Gross and net return betas along with systematic and unsystematic risk proportions are estimated and found to be different. The stochastic coefficients model is used to show the difference in beta-risk estimates compared with the traditional fixed coefficients OLS procedure. A third estimating technique, weighted least squares/Prais Winsten method, is also proposed.
Volume (Year): 17 (1988)
Issue (Month): 2 (October)
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- Swamy, P. A. V. B. & Tinsley, P. A., 1980.
"Linear prediction and estimation methods for regression models with stationary stochastic coefficients,"
Journal of Econometrics,
Elsevier, vol. 12(2), pages 103-142, February.
- P.A.V.B. Swamy & P.A. Tinsley, 1976. "Linear prediction and estimation methods for regression models with stationary stochastic coefficients," Special Studies Papers 78, Board of Governors of the Federal Reserve System (U.S.).
- P.A.V.B Swamy & A.B. Kennickell & P. von zur Muehlen, 1986. "Forecasting money demand with econometric models," Special Studies Papers 196, Board of Governors of the Federal Reserve System (U.S.).
- Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, Elsevier.
- Roger K. Conway & Charles B. Hallahan & Richard P. Stillman & Paul T. Prentice, 1990. "Forecasting livestock prices: Fixed and stochastic coefficients estimation comparisons," Agribusiness, John Wiley & Sons, Ltd., vol. 6(1), pages 15-32.
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