On the use of flexible mixing distributions in WTP space: An induced value choice experiment

Claudia Bazzani, Marco A. Palma, Rodolfo M. Nayga, Jr

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

In this study, we use data from an induced value choice experiment to compare estimates from mixed logit models in willingness to pay (WTP) space using different parameter distributional assumptions. Specifically, we test differences in WTP estimates when using flexible parameter mixing distributions (i.e. Legendre polynomials, step functions and splines) and conventional parameter distributions (normal and lognormal). Similar WTP estimates are obtained. However, we observe that WTP estimates are statistically different from the induced value when conventional distributions are assumed, but they are not when more flexible distributions are assumed. This suggests that flexible distributions can provide more reliable WTP estimates.

Original languageEnglish
JournalAustralian Journal of Agricultural and Resource Economics
DOIs
Publication statusAccepted/In press - 2018 Jan 1

Fingerprint

willingness to pay
Normal Distribution
Logistic Models
logit analysis
Willingness-to-pay
Choice experiment
testing

Keywords

  • Flexible mixing distribution
  • Induced value choice experiment
  • Normal distribution
  • WTP space

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Economics and Econometrics

Cite this

On the use of flexible mixing distributions in WTP space : An induced value choice experiment. / Bazzani, Claudia; Palma, Marco A.; Nayga, Jr, Rodolfo M.

In: Australian Journal of Agricultural and Resource Economics, 01.01.2018.

Research output: Contribution to journalArticle

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