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References4
Newest
Published on Oct 1, 2009in Health Economics, Policy and Law1.96
Jordan J. Louviere78
Estimated H-index: 78
(UTS: University of Technology, Sydney),
Emily Lancsar21
Estimated H-index: 21
(Newcastle University)
Compared to many applied areas of economics, health economics has a strong tradition in eliciting and using stated preferences (SP) in policy analysis. Discrete choice experiments (DCEs) are one SP method increasingly used in this area. Literature on DCEs in health and more generally has grown rapidly since the mid-1990s. Applications of DCEs in health have come a long way, but to date few have been ‘best practice’, in part because ‘best practice’ has been somewhat of a moving target. The purpos...
Published on Aug 1, 2008in Journal of Consumer Research4.70
Jordan J. Louviere78
Estimated H-index: 78
(UTS: University of Technology, Sydney),
Towhidul Islam23
Estimated H-index: 23
(U of G: University of Guelph)
+ 2 AuthorsLeonie Burgess16
Estimated H-index: 16
(UTS: University of Technology, Sydney)
In discrete choice experiments, design decisions are crucial for determining data quality and costs. While high statistical efficiency designs are desirable, they may come at a price if they increase the cognitive burden for respondents. We address this problem by designing 44 experiments that systematically vary numbers of attributes and attribute level differences. Our results for two product categories suggest that respondents systematically are less consistent in answering choice questions a...
Published on Dec 1, 1983in Journal of Consumer Research4.70
Jordan J. Louviere78
Estimated H-index: 78
,
David A. Heshner76
Estimated H-index: 76
An approach is developed to forecast participation in unique events with long gestation periods. Experimental observations of choice are derived for conjoint measurement type multiattribute alternatives that describe possible event configurations. The choice data are analyzed by means of discrete choice econometric models. A multinomial logit choice model is applied to forecast the choice of attendance at various types of international expositions. The empirical work was part of the planning eff...
Published on Nov 1, 1983in Journal of Marketing Research4.20
Jordan J. Louviere78
Estimated H-index: 78
(UI: University of Iowa),
George G. Woodworth34
Estimated H-index: 34
(UI: University of Iowa)
The authors integrate concepts in conjoint analysis and discrete choice theory in econometrics to develop a new approach to the design and analysis of controlled consumer choice or resource allocation experiments. The article is concerned with estimating the parameters of conjoint-type functions from discrete choice or allocation data. Emphasis is placed on the multinomial logit model and aggregate choice or allocation data to illustrate the concepts in a series of empirical examples ranging fro...
Cited By7
Newest
Published on Dec 1, 2015in Human Resources for Health2.55
Gisselle Gallego14
Estimated H-index: 14
(University of Western Sydney),
Angela Dew16
Estimated H-index: 16
(UNSW: University of New South Wales)
+ 5 AuthorsCraig Veitch18
Estimated H-index: 18
(USYD: University of Sydney)
Introduction The uneven distribution of allied health professionals (AHPs) in rural and remote Australia and other countries is well documented. In Australia, like elsewhere, service delivery to rural and remote communities is complicated because relatively small numbers of clients are dispersed over large geographic areas. This uneven distribution of AHPs impacts significantly on the provision of services particularly in areas of special need such as mental health, aged care and disability serv...
Roselinde Kessels12
Estimated H-index: 12
(University of Antwerp),
Bradley Jones23
Estimated H-index: 23
(SAS: SAS Institute),
Peter Goos26
Estimated H-index: 26
(Katholieke Universiteit Leuven)
In many discrete choice experiments set up for product innovation, the number of attributes is large, which results in a substantial cognitive burden for the respondents. To reduce the cognitive burden in such cases, Green suggested in the early '70s the use of partial profiles that vary only the levels of a subset of the attributes. In this paper, we present two new methods for constructing Bayesian D-optimal partial profile designs for estimating main-effects models. They involve alternative g...
Published on Aug 1, 2014in Medical Decision Making2.79
Richard Norman22
Estimated H-index: 22
(UTS: University of Technology, Sydney),
Rosalie Viney24
Estimated H-index: 24
+ 5 AuthorsDeborah J. Street24
Estimated H-index: 24
Background. SF-6D utility weights are conventionally produced using a standard gamble (SG). SG-derived weights consistently demonstrate a floor effect not observed with other elicitation techniques. Recent advances in discrete choice methods have allowed estimation of utility weights. The objective was to produce Australian utility weights for the SF-6D and to explore the application of discrete choice experiment (DCE) methods in this context. We hypothesized that weights derived using this meth...
Published on Jul 1, 2014in Food Quality and Preference3.68
Marcos Domínguez-Torreiro4
Estimated H-index: 4
(Counterintelligence Field Activity)
Abstract In this paper we empirically validate the hypothesis of context independent preferences in choice experiments under different experimental design approaches. Two alternative paradigms for constructing designs are analysed in this study under a simple Multinomial Logit (MNL) framework: optimal orthogonal in the differences (OOD) and D-efficient (EFD) designs. Once having taken into account potential differences in scale (inversely proportional to the variance of the random term in random...
Gisselle Gallego6
Estimated H-index: 6
(Johns Hopkins University),
John F. P. Bridges27
Estimated H-index: 27
(Johns Hopkins University)
+ 2 AuthorsLouis Niessen29
Estimated H-index: 29
(Johns Hopkins University)
There is a growing need for efficient procedures for identification of emerging technologies by horizon scanning systems. We demonstrate the value of best-worst scaling (BWS) in exploring clinicians' views on emerging technologies that will impact outcomes in hepatocellular carcinoma (HCC) in the next 5 to 10 years.
Roselinde Kessels12
Estimated H-index: 12
(University of Antwerp),
Peter Goos26
Estimated H-index: 26
(University of Antwerp)
+ 1 AuthorsMartina Vandebroek19
Estimated H-index: 19
(Katholieke Universiteit Leuven)
Published on Jan 1, 2011in Journal of choice modelling1.91
Roselinde Kessels12
Estimated H-index: 12
(University of Antwerp),
Bradley Jones23
Estimated H-index: 23
(SAS: SAS Institute),
Peter Goos26
Estimated H-index: 26
(University of Antwerp)
In a discrete choice experiment, each respondent chooses the best product or service sequentially from many groups or choice sets of alternative goods. The alternatives are described by levels of a set of predefined attributes and are also referred to as profiles. Respondents often find it difficult to trade off prospective goods when every attribute of the offering changes in each comparison. Especially in studies involving many attributes, respondents get overloaded by the complexity of the ch...