IDEAS home Printed from https://ideas.repec.org/a/ags/sojoae/29794.html
   My bibliography  Save this article

Modeling The Demand For Durable Inputs: Distributed Lags And Causality

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/29794/files/18020273.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.29794?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. 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.).
    7. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    8. 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.
    9. Pierce, David A., 1975. "Forecasting in dynamic models with stochastic regressors," Journal of Econometrics, Elsevier, vol. 3(4), pages 349-374, November.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dufour, Jean-Marie & Pelletier, Denis & Renault, Eric, 2006. "Short run and long run causality in time series: inference," Journal of Econometrics, Elsevier, vol. 132(2), pages 337-362, June.
    2. Nidhal Mgadmi & Houssem Rachdi & Hichem Saidi & Khaled Guesmi, 2019. "On the Instability of Tunisian Money Demand: Some Empirical Issues with Structural Breaks," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(1), pages 153-165, March.
    3. Yazdanpanah, Ahmad, 1994. "The impact of oil price on food security in the Algeria, Iran, and Saudi Arabia: cointegration, vector-error correction model, dynamics, and causality analysis," ISU General Staff Papers 1994010108000011661, Iowa State University, Department of Economics.
    4. Uri, Noel D., 1999. "Energy and the use of conservation tillage in US agriculture," Energy Policy, Elsevier, vol. 27(5), pages 299-306, May.
    5. Tsai, Grace Yueh-Hsiang, 1989. "A dynamic model of the U.S. cotton market with rational expectations," ISU General Staff Papers 1989010108000012168, Iowa State University, Department of Economics.
    6. Bai, Zhidong & Wong, Wing-Keung & Zhang, Bingzhi, 2010. "Multivariate linear and nonlinear causality tests," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(1), pages 5-17.
    7. Samarjit Das, 2003. "Modelling money, price and output in India: a vector autoregressive and moving average (VARMA) approach," Applied Economics, Taylor & Francis Journals, vol. 35(10), pages 1219-1225.
    8. Marc Hallin & Abdessamad Saidi, 2005. "Testing Non‐Correlation and Non‐Causality between Multivariate ARMA Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(1), pages 83-105, January.
    9. Utku Utkulu & Durmus Özdemir, 2005. "Does Trade Liberalization Cause a Long Run Economic Growth in Turkey," Economic Change and Restructuring, Springer, vol. 37(3), pages 245-266, September.
    10. Abdurrahman Korkmaz & Mustafa Erhan Bilman, 2017. "The S-curve Behaviour of the Trade Balance," Foreign Trade Review, , vol. 52(1), pages 1-14, February.
    11. Phipps, Tim, 1982. "Farmland Prices and the Return to Land: An Application of Causality Testing," 1982 Annual Meeting, August 1-4, Logan, Utah 279162, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. S. Gurcan Gulen, 1996. "Is OPEC a Cartel? Evidence from Cointegration and Causality Tests," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 43-57.
    13. Allan Fels & Tran Van Hoa, 1981. "Causal Relationships in Australian Wage Inflation and Minimum Award Rates," The Economic Record, The Economic Society of Australia, vol. 57(1), pages 23-34, March.
    14. Lawrence S. Mayer & Steven S. Carroll, 1988. "Measures of Dependence for Cross-Lagged Panel Models," Sociological Methods & Research, , vol. 17(1), pages 93-120, August.
    15. Han, Heejoon & Linton, Oliver & Oka, Tatsushi & Whang, Yoon-Jae, 2016. "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series," Journal of Econometrics, Elsevier, vol. 193(1), pages 251-270.
    16. Langley, Suchada Vichitakul, 1982. "The formation of price expectations: a case study of the soybean market," ISU General Staff Papers 198201010800009358, Iowa State University, Department of Economics.
    17. Andrea Silvestrini & David Veredas, 2008. "Temporal Aggregation Of Univariate And Multivariate Time Series Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 22(3), pages 458-497, July.
    18. McCrorie, J. Roderick & Chambers, Marcus J., 2006. "Granger causality and the sampling of economic processes," Journal of Econometrics, Elsevier, vol. 132(2), pages 311-336, June.
    19. Cheng Hsiao, 1977. "Money And Income, Causality Detection," NBER Working Papers 0167, National Bureau of Economic Research, Inc.
    20. R. Jeffery Green & Gary R. Albrecht, 1979. "Testing for Causality in Regional Econometric Models," International Regional Science Review, , vol. 4(2), pages 155-164, December.

    More about this item

    Keywords

    Demand and Price Analysis;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:sojoae:29794. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.