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An Analysis Of Experiment Station Funding Decisions

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  • White, Fred C.
  • Araji, A.A.

Abstract

The decision-making process by which academic departments within an experiment station allocate funds among commodities is examined. The decision to conduct research on some commodities and not on others introduces a problem of censored dependent variables. In order to overcome this problem, a simultaneous equations model with selectivity was used; it was applied to data from the Idaho Experiment Station. The results indicated a simultaneous relationship between research funding levels and expected benefits. Marginal products of one dollar in research investment were $53.80 for applied research, and $8.49 for maintenance research.

Suggested Citation

  • White, Fred C. & Araji, A.A., 1990. "An Analysis Of Experiment Station Funding Decisions," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(2), pages 1-9, December.
    • Handle: RePEc:ags:wjagec:32065
    DOI: 10.22004/ag.econ.32065
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    References listed on IDEAS

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    1. A. A. Araji & R. J. Sim & R. L. Gardner, 1978. "Returns to Agricultural Research and Extension Programs: An Ex-Ante Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(5), pages 964-968.
    2. Lyu, Syu-Jyun Larry & White, Fred C. & Lu, Yao-Chi, 1984. "Estimating Effects of Agricultural Research and Extension Expenditures on Productivity: A Translog Production Function Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 16(2), pages 1-8, December.
    3. Wallace E. Huffman & John A. Miranowski, 1981. "An Economic Analysis of Expenditures on Agricultural Experiment Station Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 104-118.
    4. Lyu, Syu-Jyun Larry & White, Fred C. & Lu, Yao-Chi, 1984. "Estimating Effects Of Agricultural Research And Extension Expenditures On Productivity: A Translog Production Function Approach," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(2), pages 1-8, December.
    5. Lee, Lung-fei & Maddala, G S & Trost, R P, 1980. "Asymptotic Covariance Matrices of Two-Stage Probit and Two-Stage Tobit Methods for Simultaneous Equations Models with Selectivity," Econometrica, Econometric Society, vol. 48(2), pages 491-503, March.
    6. Kenny, Lawrence W, et al, 1979. "Returns to College Education: An Investigation of Self-Selection Bias Based on the Project Talent Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(3), pages 775-789, October.
    7. R. Blaine Roberts & G.S. Maddala & Gregory Enholm, 1978. "Determinants of the Requested Rate of Return and the Rate of Return Granted in a Formal Regulatory Process," Bell Journal of Economics, The RAND Corporation, vol. 9(2), pages 611-621, Autumn.
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    Cited by:

    1. Musser, Wesley N. & Abler, David G., 1991. "An Analysis Of Allocation Of Lisa Research And Extension Funding," 1991 Annual Meeting, August 4-7, Manhattan, Kansas 271073, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Abler, David G. & Musser, Wesley N., 1995. "The Allocation of LISA Research and Extension Funding," Agricultural and Resource Economics Review, Cambridge University Press, vol. 24(1), pages 15-24, April.

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