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Software

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 describes and compares suitable software for the analysis of basic and advanced discrete choice models. Software packages are classified into proprietary and non-proprietary, according to the operating system required and modelling capabilities. Abilities of both selected commercial (Stata, SAS and Latent Gold, e.g.) and open-source packages (Biogeme and R-libraries) are considered. Finally, some user-written estimation packages for Gauss, Matlab, R and Stata are presented.

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. "Software," SpringerBriefs in Economics, in: Environmental Valuation with Discrete Choice Experiments, chapter 0, pages 125-129, Springer.
    • Handle: RePEc:spr:spbchp:978-3-030-62669-3_9
    DOI: 10.1007/978-3-030-62669-3_9
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