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Measures of precision for estimated welfare effects for producers from generic advertising

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  • Nicholas E. Piggott

    (North Carolina State University, Department of Agricultural and, Resource Economics, Box 8109, Raleigh, North Carolina 27695., E-mail: nick_piggott@ncsu.edu)

Abstract

Using a multi-market equilibrium displacement model (EDM) framework, the precision of market parameters (elasticities) measured using econometric methods, can be combined with prior beliefs from economic theory, to calculate how precisely changes in producer welfare from generic advertising are estimated. This EDM approach enables the benefits and costs of simulated small changes in the checkoffs and advertising on producer welfare to be measured. To calculate the associated precision for changes in producer welfare measures, Monte Carlo integration is used, in a Bayesian approach, imposing inequality restrictions from theory, to generate empirical posterior distributions of the changes in producer welfare measures. These empirical distributions can be used to place confidence intervals around the posterior means and to test whether estimates are statistically significantly different from zero. Alternatively, the probability that a welfare measure change is greater than zero can be calculated, which may serve to even be more informative. [EconLit citations: C130; C110; C150]. © 2003 Wiley Periodicals, Inc. Agribusiness 19: 379-391, 2003.

Suggested Citation

  • Nicholas E. Piggott, 2003. "Measures of precision for estimated welfare effects for producers from generic advertising," Agribusiness, John Wiley & Sons, Ltd., vol. 19(3), pages 379-391.
    • Handle: RePEc:wly:agribz:v:19:y:2003:i:3:p:379-391
    DOI: 10.1002/agr.10067
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    References listed on IDEAS

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    2. Christiana E. Hilmer & Matthew T. Holt & Richard C. Bishop, 2010. "Bootstrapping Your Fish or Fishing for Bootstraps? Precision of Welfare Loss Estimates from a Globally Concave Inverse Demand Model of Commercial Fish Landings in the U.S. Great Lakes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 98-112.
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    5. Shewmake, Sharon & Okrent, Abigail & Thabrew, Lanka & Vandenbergh, Michael, 2015. "Predicting consumer demand responses to carbon labels," Ecological Economics, Elsevier, vol. 119(C), pages 168-180.
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    7. Rodriguez, Nestor & Eales, James S., 2015. "Structural Change via Threshold Effects: Estimating U.S. Meat Demand Using Smooth Transition Functions and the Effects of More Women in the Labor Force," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206522, Agricultural and Applied Economics Association.

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