Flexible Discrete Choice Demand Models Consistent With Utility Maximization: An Application to Health Care Demand

1999 ◽  
Vol 81 (3) ◽  
pp. 680-685 ◽  
Author(s):  
William H. Dow
Author(s):  
Henk Jan Wassenaar ◽  
Wei Chen ◽  
Jie Cheng ◽  
Agus Sudjianto

Our research is motivated by the need for developing a rigorous Decision-Based Design framework and the need for developing an approach to demand modeling that is critical for assessing the profit a product can bring. Even though demand modeling techniques exist in market research, little work exists on product demand modeling that addresses the specific needs of engineering design in particular that facilitates engineering decision-making. Building upon our earlier work on using the discrete choice analysis approach to demand modeling, in this work, we provide detailed guidelines for implementing the discrete choice demand modeling approach in product design. The modeling of a hierarchy of product attributes is introduced to cascade customer desires to specific key customer attributes that can be represented using engineering language. To improve the predictive capability of demand models, we propose to use the Kano method for providing the econometric justification when selecting the shape of the customer utility function. A real (passenger) vehicle engine case study, developed in collaboration with the market research firm J.D. Power & Associates and Ford Motor Company, demonstrates the proposed approaches. The example focuses on demand analysis and does not reach beyond the key customer attribute level. The obtained demand model is shown to be satisfactory through cross validation.


2012 ◽  
pp. 119-130 ◽  
Author(s):  
Shiva Raj Adhikari

Demand describes the quantity of goods or services per unit of time that an individual purchases and consumes given the set of the prices and income of the consumer. The demand models based on continuous choice or discrete choice are popular in the economic literatures. Discrete choice depicts where and what kinds of health services to consume while the continuous choice portrays how much of health services to consume. Specification of the behavioural model and estimation of the parameters of the model that are interrelated tasks in discrete choice model are challenging for the researchers. Health sector data have special features like discrete nature of the data, problems of censoring, integer counts or time duration and several factors complicate attempts to obtain unbiased estimates of the impact of variables that influence demand for health care. The health care data provide wider applications of econometrics models. These models have some advantages in presenting and analyzing the choice behaviour; however, they have some limitations as well. Subsequently, the researchers are continuously interested to find and to apply appropriate models to describe the choice behaviour of the decision makers.DOI: http://dx.doi.org/10.3126/ejdi.v13i0.7215 Economic Journal of Development Issues Vol.13 & 14 2011, pp.119-130


Author(s):  
Peter Zweifel

AbstractThis contribution has three objectives. First, it seeks to justify the use of the economic criterion, “Provision of health care in accordance with the preferences of current and potential patients” for guiding decisions concerning the adoption of costly innovation in health. Next, it proposes the measurement of these preferences in the guise of willingness to pay (WTP) values through Discrete Choice Experiments (DCEs). Third, it purports to examine two popular arguments against accepting lay persons´ preferences, viz. that they are unwilling or unable to express preferences with regard to health and health care, and that their preferences are unstable, depending on the current state of health. Both of these arguments are refuted by the findings of four DCEs designed to measure WTP for attributes of health insurance and of the treatment of diabetes, respectively [Zweifel in J Regul Econ 29(3): 319–332, 2006; MacNeil Vrooman and Zweifel in Eur J Health Econ 12(1): 87–95, 2011; Sennhauser and Zweifel in: Jakovlijevic M (ed.), Health Economics and Policy Challenges in Global Emerging Markets. NOVA Publishers, Hauppauge NY, 2016].


2000 ◽  
Vol 22 (5) ◽  
pp. 47
Author(s):  
Scott MacStruvic ◽  
Gary Montrose

2018 ◽  
Vol 4 (1) ◽  
pp. 26-50 ◽  
Author(s):  
Terence C. Cheng ◽  
Joan Costa-Font ◽  
Nattavudh Powdthavee

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