Using Choice Experiments to Find Double Jeopardy Patterns

2015 ◽  
Vol 57 (5) ◽  
pp. 743-758 ◽  
Author(s):  
Luke Greenacre ◽  
Arry Tanusondjaja ◽  
Steven Dunn ◽  
Bill Page
Keyword(s):  
Discrete Choice ◽  
Choice Experiments ◽  
New Method ◽  
Discrete Choice Experiments ◽  
Alternative Methods ◽  
Small Samples ◽  
Double Jeopardy ◽  
Easy Method ◽  
The Us ◽  
Purchasing Behaviour

Double jeopardy is one of the most important empirical patterns of consumer brand purchase behaviour. It asserts that large brands benefit from having more consumers who are also generally more loyal. Traditional methods for detecting double jeopardy patterns in consumer purchasing behaviour rely heavily on the availability of panel data. Although alternative methods have been proposed, these too require large quantities of data, making them costly to implement for many managers and researchers. This study proposes a new method for detecting double jeopardy patterns that requires only small samples of data. Using the instant coffee market in the US to test this new method, it is shown that repeated discrete choice experiments can produce proximate measures to those used as inputs to double jeopardy calculations. This approach gives researchers an economical and easy method to test whether a market conforms to double jeopardy, allowing them to keep managers informed about the properties of consumer purchase behaviour in their markets.

scholarly journals The comparison of vaccine hesitancy of COVID-19 vaccination in China and the United States

2021 ◽  
Author(s):  
Taoran Liu ◽  
Zonglin He ◽  
Jian Huang ◽  
Ni Yan ◽  
Qian Chen ◽  
...  
Keyword(s):  
United States ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Discrete Choice ◽  
Choice Experiments ◽  
The United States ◽  
Discrete Choice Experiments ◽  
Vaccine Hesitancy ◽  
The Us ◽  
The Cost

AbstractObjectivesTo investigate the differences in vaccine hesitancy and preference of the currently available COVID-19 vaccines between two countries, viz. China and the United States (US).MethodA cross-national survey was conducted in both China and the US, and discrete choice experiments as well as Likert scales were utilized to assess vaccine preference and the underlying factors contributing to the vaccination acceptance. A propensity score matching (PSM) was performed to enable a direct comparison between the two countries.ResultsA total of 9,077 (5,375 and 3,702, respectively, from China and the US) respondents have completed the survey. After propensity score matching, over 82.0% respondents from China positively accept the COVID-19 vaccination, while 72.2% respondents form the US positively accept it. Specifically, only 31.9% of Chinese respondents were recommended by a doctor to have COVID-19 vaccination, while more than half of the US respondents were recommended by a doctor (50.2%), local health board (59.4%), or friends and families (64.8%). The discrete choice experiments revealed that respondents from the US attached the greatest importance to the efficacy of COVID-19 vaccines (44.41%), followed by the cost of vaccination (29.57%), whereas those from China held a different viewpoint that the cost of vaccination covers the largest proportion in their trade-off (30.66%), and efficacy ranked as the second most important attribute (26.34%). Also, respondents from China tend to concerned much more about the adverse effect of vaccination (19.68% vs 6.12%) and have lower perceived severity of being infected with COVID-19.ConclusionWhile the overall acceptance and hesitancy of COVID-19 vaccination in both countries are high, underpinned distinctions between countries are observed. Owing to the differences in COVID-19 incidence rates, cultural backgrounds, and the availability of specific COVID-19 vaccines in two countries, the vaccine rollout strategies should be nation-dependent.

scholarly journals Application of discrete choice experiments to estimate value of life: a national study protocol in Iran

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Negar Mirzaee ◽  
Amirhossein Takian ◽  
Farshad Farzadfar ◽  
Rajabali Daroudi ◽  
Ali Kazemi Karyani ◽  
...  
Keyword(s):  
Discrete Choice ◽  
Premature Death ◽  
Choice Experiments ◽  
Value Of Life ◽  
Discrete Choice Experiments ◽  
National Study ◽  
Middle Income ◽  
Risk Levels ◽  
Survey Interviews ◽  
Economic Perspectives

Abstract Background Global concerns regarding the significant burden of non-communicable diseases and injuries (NCDIs) exist from both public health and economic perspectives. Our research focuses on the reduction of fatal risks due to NCDIs and the citizens’ preferences about health programs and intervention to reduce premature death due to NCDIs. Governments and health authorities need reliable evidence and information to prioritize the interests of their citizens. One crucial piece of evidence to justify the resources spent on NCDIs is the value derived from the interventions on prevention and NCDIs control. This concept is usually called “Value of Statistical Life” (VSL), meaning the monetary value that individuals place on changes in the risk levels of life- threatening events. To the best of our knowledge, for the first time, our study will estimate the statistical value of life for selected interventions for the prevention and control of NCDIs at both national and sub-national levels in the context of Iran. This paper reports the development of a national protocol through Discrete Choice Experiments (DCEs) method. Methods and designs Our study comprises several stages: (a) a literature review to identify the attributes and levels of the prevention programs and Willingness to Pay (WTP) for reducing the NCDI’s fatal risks; (b) experimental design to assessing, prioritizing, and finalizing the identified attributes and levels; (c) instrumental design to conduct face-to-face structured survey interviews of 3180 respondents aged 18–69 across the entire country; (d) statistical analysis to estimate the results through the Mixed Multinomial logit (MMNL) model. Discussion We anticipate that our findings will help build a stronger empirical basis for monetizing the value of small changes in selected fatality risks. It paves the way for other national or vast VSL estimates for NCDIs, as well as other major causes of morbidity and mortality in the context of Iran, and perhaps other low and middle-income countries (LMICs).

scholarly journals The Impact of Environmental Sustainability Labels on Willingness-to-Pay for Foods: A Systematic Review and Meta-Analysis of Discrete Choice Experiments

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2677
Author(s):  
Anastasios Bastounis ◽  
John Buckell ◽  
Jamie Hartmann-Boyce ◽  
Brian Cook ◽  
Sarah King ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Discrete Choice ◽  
Environmental Sustainability ◽  
Purchasing Power Parity ◽  
Meta Analysis ◽  
Choice Experiments ◽  
Discrete Choice Experiments ◽  
Environmental Damage ◽  
Environmentally Sustainable ◽  
The Impact

Food production is a major contributor to environmental damage. More environmentally sustainable foods could incur higher costs for consumers. In this review, we explore whether consumers are willing to pay (WTP) more for foods with environmental sustainability labels (‘ecolabels’). Six electronic databases were searched for experiments on consumers’ willingness to pay for ecolabelled food. Monetary values were converted to Purchasing Power Parity dollars and adjusted for country-specific inflation. Studies were meta-analysed and effect sizes with confidence intervals were calculated for the whole sample and for pre-specified subgroups defined as meat-dairy, seafood, and fruits-vegetables-nuts. Meta-regressions tested the role of label attributes and demographic characteristics on participants’ WTP. Forty-three discrete choice experiments (DCEs) with 41,777 participants were eligible for inclusion. Thirty-five DCEs (n = 35,725) had usable data for the meta-analysis. Participants were willing to pay a premium of 3.79 PPP$/kg (95%CI 2.7, 4.89, p ≤ 0.001) for ecolabelled foods. WTP was higher for organic labels compared to other labels. Women and people with lower levels of education expressed higher WTP. Ecolabels may increase consumers’ willingness to pay more for environmentally sustainable products and could be part of a strategy to encourage a transition to more sustainable diets.

scholarly journals How Should Discrete Choice Experiments with Duration Choice Sets Be Presented for the Valuation of Health States?

2017 ◽  
Vol 38 (3) ◽  
pp. 306-318 ◽  
Author(s):  
Brendan Mulhern ◽  
Richard Norman ◽  
Koonal Shah ◽  
Nick Bansback ◽  
Louise Longworth ◽  
...  
Keyword(s):  
Discrete Choice ◽  
Choice Experiments ◽  
Discrete Choice Experiments ◽  
Health States ◽  
Choice Sets

scholarly journals Using discrete choice experiments to define patient preferences for outcomes in trials

Trials ◽  
2013 ◽  
Vol 14 (S1) ◽  
Author(s):  
Emily Fargher ◽  
Dyfrig Hughes ◽  
Adele Ring ◽  
Ann Jacoby ◽  
Margaret Rawnsley ◽  
...  
Keyword(s):  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiments ◽  
Discrete Choice Experiments
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