IDEAS home Printed from https://ideas.repec.org/h/spr/spbchp/978-3-030-62669-3_5.html
   My bibliography  Save this book chapter

Econometric Modelling: Basics

In: Environmental Valuation with Discrete Choice Experiments

Author

Listed:
  • Petr Mariel

    (University of the Basque Country, UPV/EHU)

  • David Hoyos

    (University of the Basque Country, UPV/EHU)

  • Jürgen Meyerhoff

    (Technische Universität Berlin)

  • Mikolaj Czajkowski

    (University of Warsaw)

  • Thijs Dekker

    (University of Leeds)

  • Klaus Glenk

    (Department of Rural Economy, Environment and Society)

  • Jette Bredahl Jacobsen

    (University of Copenhagen)

  • Ulf Liebe

    (University of Warwick)

  • Søren Bøye Olsen

    (University of Copenhagen)

  • Julian Sagebiel

    (Swedish University of Agricultural Sciences)

  • Mara Thiene

    (University of Padua)

Abstract

This chapter addresses basic topics related to choice data analysis. It starts by describing the coding of attribute levels and choosing the functional form of the attributes in the utility function. Next, it focuses on econometric models with special attention devoted to the random parameter mixed logit model. In this context, the chapter compares different coefficient distributions to be used, addresses specifics of the cost attribute coefficient and it pays attention to potential correlations between random coefficients. Finally, topics related to the estimation procedure such as assuring its convergence or random draws are discussed.

Suggested Citation

  • Petr Mariel & David Hoyos & Jürgen Meyerhoff & Mikolaj Czajkowski & Thijs Dekker & Klaus Glenk & Jette Bredahl Jacobsen & Ulf Liebe & Søren Bøye Olsen & Julian Sagebiel & Mara Thiene, 2021. "Econometric Modelling: Basics," SpringerBriefs in Economics, in: Environmental Valuation with Discrete Choice Experiments, chapter 0, pages 61-81, Springer.
    • Handle: RePEc:spr:spbchp:978-3-030-62669-3_5
    DOI: 10.1007/978-3-030-62669-3_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Kassie, Girma T. & Abdulai, Awudu & Haile, Aynalem & Yitayih, Mulugeta & Asnake, Woinishet & Rischkowsky, Barbara, 2023. "Understanding pastoralists’ preferences for goat traits: Application of all-levels and end-point choice experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).

    More about this item

    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:spr:spbchp:978-3-030-62669-3_5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.