Discrete choice experiment methods

Discrete choice experiments are some of the most popular tools to elicit non-market values - values the public may hold for environmental goods that are not revealed through markets. We have a number of projects advancing methods to analyse data from discrete choice experiments, check out some of our projects below.

 

Integrated Choice Experiments

To accurately capture how the public values marine area management, we need valuation approaches that can accommodate the complexity of environmental systems and human interaction with them. Integrated choice experiments more closely mimic individual's decision-making behaviour when goods are complex and unfamiliar. We demonstrate how these methods can be used to capture public values for the marine environment.

 

Problems caused by choice inconsistency

We present novel insight into a non-novel conclusion: interpretation of models that account for heterogeneity in error variance (scale) can be misleading if researchers do not appreciate the implications of reported parameter estimates being conflated with scale effects. We are currently conducting a review of how researcher's using Best-Worst Scaling methods test for and present results describing heterogeneity in error variance.

Selected collaborators

Michael Burton, University of Western Australia

Marit Kragt, University of Western Australia

 

Selected publications

Integrated Choice Experiments

Davis, KJ, M Burton, A Rogers, A Spencer-Cotton & R Pandit. 2019. Eliciting Public Values for Management of Complex Marine Systems: An Integrated Choice Experiment. Marine Resource Economics, 34, 1-21. DOI 10.1086/701303.

 

Error variance

Davis, KJ, M Burton & ME Kragt. 2019. Scale Heterogeneity and Its Implications for Discrete Choice Analysis. Land Economics, 95, 353-368. DOI: 10.3368/le.95.3.353

**This work recently won the Quality of Research Discovery Award from the Australasian Agricultural & Resource Economics Society - check it out open access for the month of February at Land Economics