ENBIS Spring Meeting 2018

4 – 6 June 2018; Florence, Italy Abstract submission: 17 November 2017 – 20 April 2018

Designing and conducting discrete choice experiments with the R-package idefix

5 June 2018, 12:20 – 12:45

Abstract

Submitted by
Martina Vandebroek
Authors
Martina Vandebroek (KU Leuven), Frits Traets (KU Leuven)
Abstract
Discrete choice experiments are widely used in a broad area of research fields to capture the preference structure of respondents. The design of such experiments will determine to a large extent the accuracy with which the preference parameters can be estimated. This presentation presents a new R-package, called idefix, which enables users to generate optimal designs for discrete choice experiments based on the multinomial logit model. In addition, the package provides the necessary tools to set up online surveys with the possibility of making use of the individual adaptive sequential Bayesian design approach for estimating the mixed logit model. After data collection the package can be used to transform the data into the necessary format in order to use existing estimation software in R.

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