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Combining Cross-Section and Time-Series Information on Demand Relationships for Substitute Goods

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  • R. A. Holmes

Abstract

This study deals with the problem of pooling cross-section and time-series results in the estimation of demand functions when the appropriate endogenous variable differs in the two analyses. An iterative estimation procedure which incorporates a necessary distinction between quantity and quality elasticities of demand is developed and tested. This procedure addresses the estimation problems arising from differences between the cross-section and time-series models and data, and provides a partial test of the model specification.

Suggested Citation

  • R. A. Holmes, 1968. "Combining Cross-Section and Time-Series Information on Demand Relationships for Substitute Goods," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 50(1), pages 56-65.
    • Handle: RePEc:oup:ajagec:v:50:y:1968:i:1:p:56-65.
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    File URL: http://hdl.handle.net/10.2307/1237871
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    Cited by:

    1. Lu, Yao-Chi, 1975. "Measuring Productivity Change In U.S. Agriculture," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 7(2), pages 1-7, December.

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