A Semiparametric Approach to Analyzing Differentiated Agricultural Products
AbstractWhen consumers have heterogeneous perceptions about product quality, traditional parametric methods may not provide accurate marginal valuation estimates of a productâ€™s characteristics. A quantile regression framework can be used to estimate valuations of product characteristics when quality perceptions are not homogeneous. Semiparametric quantile regressions provide identification and quantification of heterogeneous marginal valuation effects across a conditional price distribution. Using purchase price data from a bull auction, we show that there are nonconstant marginal valuations of bull carcass and growth traits. Improved understanding of product characteristic valuations across differentiated market segments can help producers develop more cost-effective management strategies.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Southern Agricultural Economics Association in its journal Journal of Agricultural and Applied Economics.
Volume (Year): 45 (2013)
Issue (Month): 01 (February)
bull sales; heritable traits; product differentiation; quantile regression; Marketing; Q13; L15; C52; D49;
Find related papers by JEL classification:
- Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
- L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- D49 - Microeconomics - - Market Structure and Pricing - - - Other
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Koenker,Roger, 2005.
Cambridge University Press, number 9780521845731, November.
- Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001.
"Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data,"
Springer, vol. 26(1), pages 7-40.
- Omar Arias & Kevin F. Hallock & Walter Sosa Escudero, 1999. "Individual Heterogeneity in the Returns to Schooling: Instrumental Variables Quantile Regression using Twins Data," Department of Economics, Working Papers 016, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
- Jones, Rodney D. & Turner, Tyler & Dhuyvetter, Kevin C. & Marsh, Thomas L., 2008. "Estimating the Economic Value of Specific Characteristics Associated with Angus Bulls Sold at Auction," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(01), April.
- Dhuyvetter, Kevin C. & Schroeder, Ted C. & Simms, Danny D. & Bolze, Ronald P., Jr. & Geske, Jeremy, 1996. "Determinants Of Purebred Beef Bull Price Differentials," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(02), December.
- Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.