Software

Petr Mariel, David Hoyos, Jürgen Meyerhoff, Mikolaj Czajkowski, Thijs Dekker (), Klaus Glenk, Jette Bredahl Jacobsen (), Ulf Liebe (), Søren Olsen, Julian Sagebiel () and Mara Thiene ()
Additional contact information
Thijs Dekker: University of Leeds
Jette Bredahl Jacobsen: University of Copenhagen
Ulf Liebe: University of Warwick
Julian Sagebiel: Swedish University of Agricultural Sciences
Mara Thiene: University of Padua

Chapter Chapter 9 in Environmental Valuation with Discrete Choice Experiments, 2021, pp 125-129 from Springer

Abstract: 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.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spbchp:978-3-030-62669-3_9

Ordering information: This item can be ordered from
http://www.springer.com/9783030626693

DOI: 10.1007/978-3-030-62669-3_9

Access Statistics for this chapter

More chapters in SpringerBriefs in Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().