Construction of experimental designs for mixed logit models allowing for correlation across choice observations

Bliemer, Michiel C.J.; Rose, John M.

doi:10.1016/j.trb.2009.12.004

Cited by 254 publications

(148 citation statements)

References 37 publications

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“…A fractional factorial design was used in the pilot, which allows us to estimate the priors, while efficient designs were used for the final experiment. The D error was used as the measure of efficiency (Huber & Zwerina, 1996;Bliemer & Rose, 2010, 2011 and calculated as D z ¡ error D det .V 1 .X; b// 1 6 H where H is the number of parameters to be estimated, Xis the experimental design, and b is the vector of parameter values (a priori), which can be equal to zero for those attributes whose prior is unknown. In the efficient design, coefficients are generic across alternatives.…”

Section: Data Collectionmentioning

confidence: 99%

Does habitual behavior affect the choice of alternative fuel vehicles?

Valeri

Cherchi

2016

International Journal of Sustainable Transportation

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Because of the recent improvements in the electrification process of cars, several types of alternative fuel vehicles are appearing in the car market. However, these new engine technologies are not easily penetrating the market around the world and the conventional ones are still the leaders. A vast literature has explored the reasons for such low market penetration, due mainly to car's features. Using a hybrid choice model approach, in this research we study if, and to which extent, habitual car use influences individual propensity to buy a specific type of engine technology. We found significant latent habitual effect on choices of type of car engine. This effect is important only for some of the car alternatives considered in the study. In particular, habitual car users prefer to buy a new car with liquefied petroleum gas and compressed natural gas types of engine technology instead of a conventional one. The importance of taking into account this latent construct is demonstrated also with the results of the simulated elasticity measures. In fact, the exclusion of latent habitual effect significantly underestimates the elasticity of diesel and hybrid cars and overestimates the elasticity of liquefied petroleum gas car.

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Section: Data Collectionmentioning

confidence: 99%

Does habitual behavior affect the choice of alternative fuel vehicles?

Valeri

Cherchi

2016

International Journal of Sustainable Transportation

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“…Bayesian efficient designs allow specifying the parameters as random variables, providing greater flexibility and reducing the risk of inefficiency (Bliemer and Rose 2010).…”

Section: Experimental Designmentioning

confidence: 99%

Are Blackout Days Free of Charge?: Valuation of Individual Preferences for Improved Electricity Services

Mori¹,

Alberto²

2017

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work is licensed under a Creative Commons IGO 3.0 AttributionNonCommercial-NoDerivatives (CC-IGO BY-NC-ND 3.0 IGO) license (http://creativecommons.org/licenses/by-nc-nd/3.0/igo/ legalcode) and may be reproduced with attribution to the IDB and for any non-commercial purpose, as provided below. No derivative work is allowed.Any dispute related to the use of the works of the IDB that cannot be settled amicably shall be submitted to arbitration pursuant to the UNCITRAL rules. The use of the IDB's name for any purpose other than for attribution, and the use of IDB's logo shall be subject to a separate written license agreement between the IDB and the user and is not authorized as part of this CC-IGO license.Following a peer review process, and with previous written consent by the Inter-American Development Bank (IDB), a revised version of this work may also be reproduced in any academic journal, including those indexed by the American Economic Association's EconLit, provided that the IDB is credited and that the author(s) receive no income from the publication. Therefore, the restriction to receive income from such publication shall only extend to the publication's author(s). With regard to such restriction, in case of any inconsistency between the Creative Commons IGO 3.0 Attribution-NonCommercial-NoDerivatives license and these statements, the latter shall prevail.Note that link provided above includes additional terms and conditions of the license.The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the Inter-American Development Bank, its Board of Directors, or the countries they represent.

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“…Instead, we opt for the cross-sectional multinomial logit model with Bayesian priors to generate our design. While this seems like a large departure from a panel mixed logit model, numerous case studies and simulations show that there is only a slight loss in efficiency, and the performance of cross-sectional multinomial logit is better than cross-sectional mixed logit if the true model is panel mixed logit (Bliemer and Rose, 2010). 29…”

Section: Scenarios I and Iimentioning

confidence: 99%

Thought for Food: Understanding Educational Disparities in Food Consumption

Koç

Kippersluis

2015

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractHigher educated individuals are healthier and live longer than their lower educated peers.One reason is that lower educated individuals engage more in unhealthy behaviours including consumption of a poor diet, but it is not clear why they do so. In this paper we develop an economic theory of unhealthy food choice, and use a Discrete Choice Experiment to discriminate between the theoretical parameters. Differences in health knowledge appear to be responsible for the greatest part of the education disparity in diet. However, when faced with the most explicit health information regarding diet, lower educated individuals still state choices that imply a lower concern for negative health consequences. This is consistent with a theoretical prediction that part of the education differences across health behaviours is driven by the "marginal value of health" rising with education.

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Construction of experimental designs for mixed logit models allowing for correlation across choice observations

Cited by 254 publications

References 37 publications

Does habitual behavior affect the choice of alternative fuel vehicles?

Does habitual behavior affect the choice of alternative fuel vehicles?

Are Blackout Days Free of Charge?: Valuation of Individual Preferences for Improved Electricity Services

Thought for Food: Understanding Educational Disparities in Food Consumption

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