Efficient stated choice experiments for estimating nested logit models

By Michiel C. J. Bliemer, John M. Rose, David A. Hensher. 2009

177 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Marketing

View Paper: https://www.semanticscholar.org/paper/4be5538229eddf676bd0d32c0cde96fc1ab640c2

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Citations in the corpus

The state of the art of environmental valuation with discrete choice experiments (2010, background): “(Bliemer et al., 2009).”
Experimental design influences on stated choice outputs: An empirical study in air travel choice (2009, methodology): “Further theoretical advancements in the field of experimental designs have been made since including, but not limited to work undertaken by Bliemer et al. (2009), Burgess and Street (2003), Ferrini and Scarpa (2006), Kanninen (2002), Kessels et al. (2006), Sándor and Wedel (2001, 2002, 2005), Rose…”
Providing quantified evidence to policy makers for promoting bike-sharing in heavily air-polluted cities: A mode choice model and policy simulation for Taiyuan-China (2018, methodology): “Although this is not as advanced as several later proposed designs, such as D-optimal design and D-efficient design (Bliemer et al., 2009; Rose and Bliemer, 2009; Bliemer and Rose, 2010), this project adopted the traditional orthogonal design due to time, cost and availability of advanced data…”
Drivers’ parking location choice under uncertain parking availability and search times: A stated preference experiment (2015, methodology): “information on the estimates (priors) the experiment design would yield more information (Rose et al., 2008;160 Bliemer et al., 2009).”
Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force. (2013, methodology): “[30] and Bliemer and Rose [44] also extended the efficient-design framework to include designs for nested-logit and panel mixed multinomial-logit models.”