IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v280y2020i1p365-382.html
   My bibliography  Save this article

Are solar panels commodities? A Bayesian hierarchical approach to detecting quality differences and asymmetric information

Author

Listed:
  • Mauritzen, Johannes

Abstract

Solar panels should not be considered commodities. Considerable quality differences, as measured directly by degradation of production over time, are found between manufacturers. I test two implications from the theory of asymmetric information of quality and find: (1) Solar power systems with high-information third-party owners display higher quality than host-owned systems. (2) Furthermore, with a 85% probability, the price of solar panels that are owned by high-information owners are more highly correlated to quality. Methodologically, the article demonstrates a novel application of Bayesian hierarchical regression models that are increasingly popular in operations research and the decision sciences.

Suggested Citation

  • Mauritzen, Johannes, 2020. "Are solar panels commodities? A Bayesian hierarchical approach to detecting quality differences and asymmetric information," European Journal of Operational Research, Elsevier, vol. 280(1), pages 365-382.
  • Handle: RePEc:eee:ejores:v:280:y:2020:i:1:p:365-382
    DOI: 10.1016/j.ejor.2019.07.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221719305624
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2019.07.001?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Sommerfeldt, Nelson & Lemoine, Ida & Madani, Hatef, 2022. "Hide and seek: The supply and demand of information for household solar photovoltaic investment," Energy Policy, Elsevier, vol. 161(C).
    2. Magni, Carlo Alberto & Marchioni, Andrea & Baschieri, Davide, 2022. "Impact of financing and payout policy on the economic profitability of solar photovoltaic plants," International Journal of Production Economics, Elsevier, vol. 244(C).

    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:eee:ejores:v:280:y:2020:i:1:p:365-382. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.