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Modeling The Demand For Durable Inputs: Distributed Lags And Causality

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  • Mui, H.W.
  • Bradford, Garnett L.
  • Ali, Mukhtar M.

Abstract

Vector-autoregressive-moving-average (VARMA) modeling was used to identify distributed lag relationships among farm tractor derived demand variables and to provide a basis for formally testing the hypothesis that the price of new tractor horsepower is exogeneous to its quantity demanded. Similar causality tests were used for a number of other explanatory variables, including the interest rate, price of diesel fuel, and price of used tractors. Results indicate that several lagged variables are significant causal factors and that the dynamic nature of the demand structure cannot be ignored when explaining tractor demand.

Suggested Citation

  • Mui, H.W. & Bradford, Garnett L. & Ali, Mukhtar M., 1986. "Modeling The Demand For Durable Inputs: Distributed Lags And Causality," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 18(2), pages 1-8, December.
  • Handle: RePEc:ags:sojoae:29794
    DOI: 10.22004/ag.econ.29794
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    References listed on IDEAS

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    1. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    2. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    3. Pierce, David A., 1975. "Forecasting in dynamic models with stochastic regressors," Journal of Econometrics, Elsevier, vol. 3(4), pages 349-374, November.
    4. Heejoon Kang, 1981. "Necessary And Sufficient Conditions For Causality Testing In Multivariate Arma Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 2(2), pages 95-101, March.
    5. Richard C. Barnett & David A. Bessler & Robert L. Thompson, 1983. "The Money Supply and Nominal Agricultural Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(2), pages 303-307.
    6. David A. Bessler & Jon A. Brandt, 1982. "Causality Tests in Livestock Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(1), pages 140-144.
    7. David A. Bessler, 1980. "Aggregated Personalistic Beliefs on Yields of Selected Crops Estimated Using ARIMA Processes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(4), pages 666-674.
    8. Pierce, David A. & Haugh, Larry D., 1977. "Causality in temporal systems : Characterization and a survey," Journal of Econometrics, Elsevier, vol. 5(3), pages 265-293, May.
    9. Hughes, Dean W. & Penson, John B. Jr., 1977. "The Demand For Farm Tractors In The United States," 1977 AAEA-WAEA Joint Meeting, July 31-August 3, San Diego, California 283818, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Larry D. Haugh & David A. Pierce, 1977. "Causality in temporal systems: characterizations and a survey," Special Studies Papers 87, Board of Governors of the Federal Reserve System (U.S.).
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