Advances in random utility models report of the workshop on advances in random utility models duke invitational symposium on choice modeling behavior

Horowitz, Joel L.; Bolduc, Denis; Divakar, Suresh; Geweke, John; Gönül, Füsun F.; Hajivassiliou, Vassilis A.; Koppelman, Frank S.; Keane, Michael P.; Matzkin, Rosa L.; Rossi, Peter E.; Ruud, Paul A.

doi:10.1007/bf00999207

Cited by 26 publications

(23 citation statements)

References 25 publications

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“…The theoretical foundations of DCE are grounded in random utility theory [36], which assumes that people generally choose the option that provides them with the highest level of utility and that any amount of deviation from that choice can be explained by random factors. Following the theory, a random utility model (RUM) aims at modelling the choices of individuals among discrete sets of alternatives [36], [37]. In its simplest form, a DCE presents individuals with two alternative scenarios (e.g., health and/or quality of life states), each containing a number of attributes, between which individuals are asked to choose their preferred scenario.…”

Section: Discrete Choice Experiments With Durationmentioning

confidence: 99%

Valuing the AD-5D Dementia Utility Instrument: An Estimation of a General Population Tariff

et al. 2020

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Section: Discrete Choice Experiments With Durationmentioning

confidence: 99%

Valuing the AD-5D Dementia Utility Instrument: An Estimation of a General Population Tariff

et al. 2020

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“…For examples, see the special issue of the Journal of Econometrics (1993, v. 58, July, p. 1-274) and Marketing Letters (1994, v. 5Ϻ4, p. 335-350). However, all empirical studies are limited to a binary response variable, and even many theoretical developments tend to focus on binary response models, as described in Horowitz et al (1994). (c) Semiparametric II: While correct specification of a random component is important for consistent estimation of systematic utility, response shape of systematic utility could suggest interesting behavioral implications.…”

Section: Model Forms For Choice Probabilitiesmentioning

confidence: 99%

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et al. 1997

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This paper introduces new forms, sampling and estimation approaches for discrete choice models. The new models include behavioral specifications of latent class choice models, multinomial probit, hybrid logit, and non-parametric methods. Recent contributions also include new specialized choice based sample designs that permit greater efficiency in data collection. Finally, the paper describes recent developments in the use of simulation methods for model estimation. These developments are designed to allow the applications of discrete choice models to a wider variety of discrete choice problems.

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“…Utility assigned to each alternative is determined by several attributes or characteristics, and since an individual's direct utility cannot be measured; their choices can be observed [ 24 ]. The utility of an alternative in this case depends on the attributes of the alternative as well as the individual whereby some are observable while others are unobservable to the analyst [ 25 ]. The observed attributes are represented as explanatory variables (deterministic component) while the unobserved attributes are treated as random variables (stochastic component) in the utility function [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Willingness to Pay for Hexanal Technology among Banana Farmers in Meru County, Kenya

Kahwai

Mburu

Oulu

et al. 2021

International Journal of Food Science

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From the perspective of food categories, fresh produce are the leading sources of food loss and waste globally. Their highly perishable nature shortens their shelf-lives leading to high postharvest losses if not properly handled. Currently, these losses are estimated at sixty-six percent based on total weight. Reduction of these losses will ensure constant supply of food along the supply chain as well as economic empowerment of the rural poor. Hexanal which is a naturally occurring compound has been developed as an intervention to prolong shelf-life of delicate tropical fruits such as bananas while also maintaining their quality. However, empirical evidence is still required on the usefulness of hexanal to farmers. It is envisaged that such evidence would inform scaling up of the technology in Kenya. This study assessed willingness to pay for hexanal and the factors influencing WTP amounts among banana farmers in Meru County, Kenya. Primary data was collected from 130 respondents who were grouped into aware and not aware of Hexanal. Results indicate that farmers who are aware of hexanal had a higher mean WTP Ksh 466.47 (US $4.66) compared to those not aware Ksh 331.86 (US $3.32). Factors such as age and income influenced the WTP amounts between subsamples. The major key policy implication of the study is the importance of stakeholders investing in the dissemination of information on hexanal among farmers to enhance uptake.

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Advances in random utility models report of the workshop on advances in random utility models duke invitational symposium on choice modeling behavior

Cited by 26 publications

References 25 publications

Valuing the AD-5D Dementia Utility Instrument: An Estimation of a General Population Tariff

Valuing the AD-5D Dementia Utility Instrument: An Estimation of a General Population Tariff

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Willingness to Pay for Hexanal Technology among Banana Farmers in Meru County, Kenya

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