IDEAS home Printed from https://ideas.repec.org/p/ags/saeatm/35149.html
   My bibliography  Save this paper

Credence Goods: A Labeling Problem?

Author

Listed:
  • Renck, Ashley Wood

Abstract

The marketing of credence goods has the potential to increase revenue of agricultural producers. However, process attributes must be related to consumers effectively. This paper examines labeling issues of credence goods. Literature related to credence goods and process attributes is reviewed and the potential for labeled agricultural products is explored.

Suggested Citation

  • Renck, Ashley Wood, 2003. "Credence Goods: A Labeling Problem?," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35149, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saeatm:35149
    DOI: 10.22004/ag.econ.35149
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/35149/files/sp03re03.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.35149?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bosch, Darrell J. & Zhu, Minkang & Kornegay, Ervin T., 1997. "Economic Returns From Reducing Poultry Litter Phosphorus With Microbial Phytase," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 29(2), pages 1-12, December.
    2. Pollak, Robert A & Wales, Terence J, 1978. "Estimation of Complete Demand Systems from Household Budget Data: The Linear and Quadratic Expenditure Systems," American Economic Review, American Economic Association, vol. 68(3), pages 348-359, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bett, H.K. & Peters, K.J. & Nwankwo, U.M. & Bokelmann, W., 2013. "Estimating consumer preferences and willingness to pay for the underutilised indigenous chicken products," Food Policy, Elsevier, vol. 41(C), pages 218-225.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:spo:wpmain:info:hdl:2441/vbu6kd1s68o6r34k5bcm3iopv is not listed on IDEAS
    2. Chern, Wen S. & Lee, Hwang Jaw, 1989. "Nonparametric and Parametric Analyses of Demand for Food at Home and Away from Home," 1989 Annual Meeting, July 30-August 2, Baton Rouge, Louisiana 270706, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Hildenbrand, Werner & Kneip, Alois, 2005. "Aggregate behavior and microdata," Games and Economic Behavior, Elsevier, vol. 50(1), pages 3-27, January.
    4. Mora, Juan, 1994. "Semiparametric testing of non-nested models: an application to Engel Curves specification," DES - Working Papers. Statistics and Econometrics. WS 3953, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Frank T. Denton & Dean C. Mountain, 2016. "Biases in consumer elasticities based on micro and aggregate data: an integrated framework and empirical evaluation," Empirical Economics, Springer, vol. 50(2), pages 531-560, March.
    6. Toshinobu Matsuda, 2006. "A trigonometric flexible consumer demand system," Canadian Journal of Economics, Canadian Economics Association, vol. 39(1), pages 145-162, February.
    7. Bopape, Lesiba, 2006. "Heterogeneity of Household Food Expenditure Patterns in South Africa," 2006 Annual meeting, July 23-26, Long Beach, CA 21300, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Kockelman, Kara Maria, 2001. "A model for time- and budget-constrained activity demand analysis," Transportation Research Part B: Methodological, Elsevier, vol. 35(3), pages 255-269, March.
    9. Chung, Ching-Fan, 2001. "Modelling demand systems with demographic effects based on the modifying function approach," Economics Letters, Elsevier, vol. 73(3), pages 269-274, December.
    10. Feng, Xudong & Chern, Wen S., 2000. "Demand For Healthy Food In The United States," 2000 Annual meeting, July 30-August 2, Tampa, FL 21857, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Andres Silva & Lindsey M. Higgins & Mohamud Hussein, 2015. "An Evaluation of the Effect of Child-Directed Television Food Advertising Regulation in the United Kingdom," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 583-600, December.
    12. Gozalo, Pedro L., 1997. "Nonparametric bootstrap analysis with applications to demographic effects in demand functions," Journal of Econometrics, Elsevier, vol. 81(2), pages 357-393, December.
    13. C. Andrea Bollino & Federico Perali & Nicola Rossi, 2000. "Linear household technologies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(3), pages 275-287.
    14. Fang, Cheng & Beghin, John C., 2002. "Urban Demand for Edible Oils and Fats in China: Evidence from Household Survey Data," Journal of Comparative Economics, Elsevier, vol. 30(4), pages 732-753, December.
    15. Hadrich, Joleen C. & Wolf, Christopher A. & Black, J. Roy & Harsh, Stephen B., 2008. "Incorporating Environmentally Compliant Manure Nutrient Disposal Costs into Least-Cost Livestock Ration Formulation," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(1), pages 1-14, April.
    16. Echeverría, Lucía & Berges, Miriam, 2013. "Estimación de escalas de equivalencia asociadas a un mínimo nivel de bienestar," Nülan. Deposited Documents 1894, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    17. Arthur Lewbel & Samuel Norris & Krishna Pendakur & Xi Qu, 2022. "Consumption peer effects and utility needs in India," Quantitative Economics, Econometric Society, vol. 13(3), pages 1257-1295, July.
    18. Silva, Andres & Dharmasena, Senarath, 2013. "Modeling Seasonal Unit Roots as a Simple Empirical Method to Handle Autocorrelation in Demand Systems: Evidence from UK Expenditure Data," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149928, Agricultural and Applied Economics Association.
    19. Del Oro Sáez, C.P. & Riobóo Almanzor, J.Mª & Rodríguez Rey, M., 2000. "Estimación de curvas de Engel: un enfoque no paramétrico y su aplicación al caso gallego," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 16, pages 37-61, Diciembre.
    20. Aaberge, Rolf & Eika, Lasse & Langørgen, Audun & Mogstad, Magne, 2019. "Local governments, in-kind transfers, and economic inequality," Journal of Public Economics, Elsevier, vol. 180(C).
    21. Kenneth W. Clements & Marc Jim M. Mariano & George Verikios, 2020. "Estimating The Linear Expenditure System With Cross-Sectional Data," Economics Discussion / Working Papers 20-18, The University of Western Australia, Department of Economics.

    More about this item

    Keywords

    Marketing;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:saeatm:35149. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.