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Assessing the impacts of stochastic trend in crop acreage supply response model

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Listed:
  • Murali Adhikari
  • Krishna Paudel
  • Jack Houston
  • James Bukenya

Abstract

This paper demonstrates the need to revisit the way a technical change has been incorporated in a crop acreage supply response model. Three different versions of technological change were introduced and compared: no trend, deterministic trend, and stochastic trend. The results confirm the need to treat a technology variable as a stochastic trend for better results in crop acreage supply response model specifications.

Suggested Citation

  • Murali Adhikari & Krishna Paudel & Jack Houston & James Bukenya, 2008. "Assessing the impacts of stochastic trend in crop acreage supply response model," Applied Economics, Taylor & Francis Journals, vol. 40(3), pages 295-302.
    • Handle: RePEc:taf:applec:v:40:y:2008:i:3:p:295-302
    DOI: 10.1080/00036840500461881
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    References listed on IDEAS

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    7. James K. Whittaker & Robert L. Bancroft, 1979. "Corn Acreage Response-Function Estimation with Pooled Time-Series and Cross-Sectional Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(3), pages 551-553.
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    Cited by:

    1. Shepherd, Ben, 2006. "Estimating Price Elasticities of Supply for Cotton: A Structural Time-Series Approach," MPRA Paper 1252, University Library of Munich, Germany.

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