Exploring Scale Effects of Best/Worst Rank Ordered Choice Data to Estimate Benefits of Tourism in Alpine Grazing Commons

By Riccardo Scarpa, S. Notaro, Jordan J. Louviere, R. Raffaelli. 2011

164 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/c3a059b8b1342052997337004c35d687afa3eb46

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Citations in the corpus

Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay (2014, methodology): “Campbell (2007) and Scarpa et al. (2011) have used panel random effects regression models to determine the factors influencing WTP for the improvement of environmental goods.”
Ordering effects and choice set awareness in repeat-response stated preference studies (2012, unknown): “[11,14,48,49]).”
The impact of attribute preferences on adoption timing: The case of photo-voltaic (PV) solar cells for household electricity generation (2013, methodology): “…provides more information i.e. full rank order of all the options that allows to estimate the 9 model for each household and has less than 30% sample size requirements to obtain same precision as from a multinomial logit model estimated from the most preferred choices (Scarpa et al. 2010).”
Contemporary Guidance for Stated Preference Studies (2017, background): “Recent applications have considered best/worst ranking as an alternative (Marley and Louviere 2005; Flynn 2010; Scarpa et al. 2011).”
Models of best–worst choice and ranking among multiattribute options (profiles) (2012, methodology): “…sets; Flynn et al. (2010) apply the sequential best-worst MNL with the former type of heterogeneity to stated preferences for quality of life, and Scarpa et al. (2011) apply a generalization of the rank order logit (ROL) model with the latter type of heterogeneity to rankings obtained by…”