ORCID Profile
0000-0002-0435-117X
Current Organisations
JDS Behavior Insights
,
Erasmus University Rotterdam
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Applied Economics not elsewhere classified | Applied Economics | Econometric and Statistical Methods | Marketing Research Methodology | Decision Making | Marketing
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Economics | Marketing | Expanding Knowledge in Commerce, Management, Tourism and Services | Expanding Knowledge in Psychology and Cognitive Sciences | Preference, Behaviour and Welfare |
Related Links
Publications
Experimental analysis of choice
Publisher: Springer Science and Business Media LLC
Date: 10-1994
DOI: 10.1007/BF00999210
Experience as a conditioning effect on choice: Does it matter whether it is exogenous or endogenous?
Publisher: Springer Science and Business Media LLC
Date: 26-11-2020
Antecedents of true brand loyalty
Publisher: Informa UK Limited
Date: 07-2008
The impact of vaccination and patient characteristics on influenza vaccination uptake of elderly people: A discrete choice experiment
Publisher: Elsevier BV
Date: 03-2018
DOI: 10.1016/J.VACCINE.2018.01.054
Abstract: To improve information for patients and to facilitate a vaccination coverage that is in line with the EU and World Health Organization goals, we aimed to quantify how vaccination and patient characteristics impact on influenza vaccination uptake of elderly people. An online discrete choice experiment (DCE) was conducted among 1261 representatives of the Dutch general population aged 60 years or older. In the DCE, we used influenza vaccination scenarios based on five vaccination characteristics: effectiveness, risk of severe side effects, risk of mild side effects, protection duration, and absorption time. A heteroscedastic multinomial logit model was used, taking scale and preference heterogeneity (based on 19 patient characteristics) into account. Vaccination and patient characteristics both contributed to explain influenza vaccination uptake. Assuming a base case respondent and a realistic vaccination scenario, the predicted uptake was 58%. One-way changes in vaccination characteristics and patient characteristics changed this uptake from 46% up to 61% and from 37% up to 95%, respectively. The strongest impact on vaccination uptake was whether the patient had been vaccinated last year, whether s/he had experienced vaccination side effects, and the patient's general attitude towards vaccination. Although vaccination characteristics proved to influence influenza vaccination uptake, certain patient characteristics had an even higher impact on influenza vaccination uptake. Policy makers and general practitioners can use these insights to improve their communication plans and information regarding influenza vaccination for in iduals aged 60 years or older. For instance, physicians should focus more on patients who had experienced side effects due to vaccination in the past, and policy makers should tailor the standard information folder to patients who had been vaccinated last year and to patient who had not.
The habit-driven life: Accounting for inertia in departure time choices for commuting trips
Publisher: Elsevier BV
Date: 03-2020
Categories shape preferences: A model of taste heterogeneity arising from categorization of alternatives
Publisher: Elsevier BV
Date: 12-2014
Determining best‐in‐practice dyadic discrete choice experiments to enable persons with dementia and informal caregivers to participate in health care decision‐making: a feasibility study
Publisher: Wiley
Date: 12-2022
DOI: 10.1002/ALZ.064279
Abstract: Discrete choice experiments (DCEs) are a powerful tool that potentially offer a method to quantify in idual and joint care preferences of persons with dementia and their informal caregivers. DCE studies that have included persons with dementia revealed that choice task complexity is a serious challenge to this population, which can lead to heuristic decision making. This feasibility study aims to determine best‐in‐practice dyadic DCE design to enable both persons with dementia and informal caregivers to participate in health care decision‐making. This study included three DCE rounds: (1) persons with dementia alone, (2) informal caregiver only, and (3) persons with dementia and their informal caregivers in dyads. A flexible DCE design was employed, in which choice task complexity was increased systematically to explore in idual cognitive limitations in DCE decision making. Choice tasks were presented by illustrations and simplified language to decrease cognitive burden on persons with dementia. A think aloud approach of survey administration was used to provide insights into in idual and joint decision‐making processes. The Telephone Interview for Cognitive Status was used for cognitive screening. 15 persons with dementia, 15 informal caregivers, and 14 dyadic discrete choice experiments were conducted. The majority of persons with dementia (53.3%) was able to complete choice tasks including two scenarios characterized by three attributes and completed on average 6.4 (SD 4.1) choice tasks before dropping out. The dyadic DCEs enabled persons with dementia to complete surveys that were somewhat more complex, and on average a higher number of choice tasks (7.9, SD 3.9). In the dyadic DCEs, informal caregivers assisted the person with dementia to understand the choice task, elicited choice motivation, and provided the means to discuss each other’s preferences. Persons with dementia that have a mild to severe cognitive impairment can use discrete choice experiments with low choice task complexity. Dyadic DCEs can enable greater empowerment of the person with dementia while promoting joint decision making. Future work should further explore the mapping of severity of dementia and feasible choice task complexity, to enhance our understanding about designing choice elicitation tasks.
Distortions in willingness-to-pay for public goods induced by endemic distrust in institutions
Publisher: Elsevier BV
Date: 06-2021
Walter Spies and Dresden: The Early Formative Years of Bali's Renowned Artist, Author and Tourism Icon
Publisher: Informa UK Limited
Date: 07-2007
Distinguishing taste variation from error structure in discrete choice data
Publisher: Elsevier BV
Date: 2000
Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms
Publisher: Elsevier BV
Date: 06-2023
Jeopardizing brand profitability by misattributing process heterogeneity to preference heterogeneity
Publisher: Elsevier BV
Date: 06-2022
Choice environment, market complexity, and consumer behavior: A theoretical and empirical approach for incorporating decision complexity into models of consumer choice
Publisher: Elsevier BV
Date: 11-2001
Antecedent Volition and Spatial Effects: Can Multiple Goal Pursuit Mitigate Distance Decay?
Publisher: Springer Science and Business Media LLC
Date: 25-04-2019
Brands as signals: A cross-country validation study
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 02-2006
A sequential approach to exploiting the combined strengths of SP and RP data: Application to freight shipper choice
Publisher: Springer Science and Business Media LLC
Date: 05-1994
DOI: 10.1007/BF01098789
Flexible covariance structures for categorical dependent variables through finite mixtures of generalized extreme value models
Publisher: Informa UK Limited
Date: 2003
Using stated preference modeling to forecast the effect of medication attributes on prescriptions of alcoholism medications
Publisher: Elsevier BV
Date: 07-2003
DOI: 10.1046/J.1524-4733.2003.64247.X
Abstract: The objective of this study was to forecast physicians' preferred rate of prescriptions of alcoholism medications given different medications attributes (i.e., efficacy, side effects, compliance, price, mode of administration, method of action). Stated preference modeling was used. Data came from a survey of 1388 physicians specializing in addiction medication (65% response rate). Physicians were given four hypothetical scenarios, each in which they were asked to choose between prescribing one of two hypothetical alcoholism medications with given attributes or prescribing no medication. Prescribing decisions were elastic with respect to the efficacy of the medication (1.35 and 1.65 using two efficacy measures). A 10% increase in the percentage of patients who would remain abstinent on the medication would lead to a 13.5% increase in the percentage of patients prescribed the medication. Prescribing decisions were inelastic with respect of nonserious side effects (-0.24), compliance (0.80), and price (-0.25). The market share of alcoholism medications with extremely favorable characteristics (i.e., 80% abstinence rate, a 95% no heavy drinking rate, a 10% side effect rate, a 80% compliance rate, and a price of US dollars 0.25) was predicted to be 53%, and 47% of the population would not be prescribed a medication to prevent alcoholism. The market share of new medications to treat alcoholism among addiction specialists could surpass the low usage rates of existing medications if those medications have better attributes. However, prescription levels may not reach that expected for treatment of other diseases.
A structural equation model of latent segmentation and product choice for cross-sectional revealed preference choice data
Publisher: Elsevier BV
Date: 10-1994
The Effect of Choice Set Misspecification on Welfare Measures in Random Utility Models
Publisher: Elsevier BV
Date: 11-2015
Probabilistic choice (models) as a result of balancing multiple goals
Publisher: Elsevier BV
Date: 02-2013
Citizen participation in patient prioritization policy decisions: An empirical and experimental study on patients' characteristics
Publisher: Public Library of Science (PLoS)
Date: 09-05-2012
Behavioral frontiers in choice modeling
Publisher: Springer Science and Business Media LLC
Date: 29-05-2008
Towards Accurate Prediction of Healthcare Choices: The INTERSOCIAL Project
Publisher: Springer Science and Business Media LLC
Date: 26-07-2022
An integrated modelling approach examining the influence of goals, habit and learning on choice using visual attention data
Publisher: Elsevier BV
Date: 09-2020
Preparing for future pandemics: A multi‐national comparison of health and economic trade‐offs
Publisher: Wiley
Date: 15-03-2023
DOI: 10.1002/HEC.4673
Abstract: Government investment in preparing for pandemics has never been more relevant. The COVID‐19 pandemic has stimulated debate regarding the trade‐offs societies are prepared to make between health and economic activity. What is not known is: (1) how much the public in different countries are prepared to pay in forgone GDP to avoid mortality from future pandemics and (2) which health and economic policies the public in different countries want their government to invest in to prepare for and respond to the next pandemic. Using a future‐focused, multi‐national discrete choice experiment, we quantify these trade‐offs and find that the tax‐paying public is prepared to pay $3.92 million USD (Canada), $4.39 million USD (UK), $5.57 million USD (US) and $7.19 million USD (Australia) in forgone GDP per death avoided in the next pandemic. We find the health policies that taxpayers want to invest in before the next pandemic and the economic policies they want activated once the next pandemic hits are relatively consistent across the countries, with some exceptions. Such results can inform economic policy responses and government investment in health policies to reduce the adverse impacts of the next pandemic.
Commentary on econometric modeling strategies for stated preference experiments by David Layton
Publisher: Springer Science and Business Media LLC
Date: 05-2006
Frontiers in modeling discrete choice experiments: a benefit transfer perspective
Publisher: Springer Netherlands
Date: 2015
A discrete choice model implementing gist-based categorization of alternatives, with applications to patient preferences for cancer screening and treatment
Publisher: Elsevier BV
Date: 09-2022
DOI: 10.1016/J.JHEALECO.2022.102674
Abstract: The rational microeconomic decision model is hard-coded into usual econometric specifications such as the Multinomial Logit and Probit models, inter alia. There is a very tight link between utility maximization and the apparatus of welfare theory that underlies economic policy analysis, which creates a tension around the possibility of representing other decision rules. We propose a less restrictive model of choice, built on the concept of gist-based categorization judgments that are assumed to precede (thus, condition) the maximization-driven selection process in decision making. This categorization facilitates decision making by allowing adoption of certain simpler decision rules under appropriate conditions, the drivers of which are endogenously determined. We demonstrate that the proposed model provides better fit than traditional choice models, using cancer screening and treatment choice data from two discrete choice experiments. In addition, we show that the model provides a deeper, more nuanced and insightful perspective on (healthcare) decision making.
Incorporating random constraints in discrete models of choice set generation
Publisher: Elsevier BV
Date: 04-1987
Feature-based attributes and the roles of consumers' perception bias and inference in choice
Publisher: Elsevier BV
Date: 06-2019
Using stated preference and revealed preference modeling to evaluate prescribing decisions
Publisher: Wiley
Date: 06-2004
DOI: 10.1002/HEC.845
Abstract: The use of stated preference analyses to evaluate choice of health care products has been growing in recent years. This paper shows how revealed preference data can be enriched with stated preference data and highlights the relative advantages of revealed and stated preference data. The techniques were applied to a study of determinants of physicians' prescriptions of alcoholism medications. Analyses were conducted on the relationship between physicians' perceptions of existing alcoholism medication attributes and their prescribing rates of those medications. Analyses were also conducted on physicians' decisions to prescribe hypothetical alcoholism medications with varying attributes such as efficacy, side effects, compliance, mode of action, and price. Finally, analyses were conducted on the combined stated and revealed preference data. Joint estimation suggests that parameters from the revealed and stated preference data are equal, up to scale. Joint analyses highlight how stated preference data can be used to estimate parameters for attributes that are not observed in the marketplace, that do not vary in the marketplace, or that are highly collinear with other attributes in actual markets.
Conjoint preference elicitation methods in the broader context of random utility theory preference elicitation methods
Publisher: Springer Berlin Heidelberg
Date: 2007
Taking the Shortcut: Simplifying Heuristics in Discrete Choice Experiments
Publisher: Springer Science and Business Media LLC
Date: 02-05-2023
Willingness-to-pay for coastline protection in New South Wales: Beach preservation management and decision making
Publisher: Elsevier BV
Date: 08-2019
Empirical test of a constrained choice discrete model: Mode choice in São Paulo, Brazil
Publisher: Elsevier BV
Date: 04-1987
Decision strategy and structure in households: A groups perspective
Publisher: Springer Science and Business Media LLC
Date: 12-2005
Determinants of recreational activities choice in protected areas
Publisher: MDPI AG
Date: 31-12-2022
DOI: 10.3390/SU14010412
Abstract: Conciliating nature conservation and tourism development is an increasingly important task for authorities in charge of managing protected areas and requires an adequate knowledge of visitors′ preferences and recreational behavior. In this light, we used data collected by means of a choice experiment to investigate recreational preferences at Dolomiti Bellunesi National Park, a protected area located in Northeastern Italy. More specifically, we analyzed the determinants of visitors’ decisions to engage with different activities in the park. This is important information for park managers, as different recreational activities have both different impact on the natural heritage and different capability to generate revenue for nature conservation and for enhancing the quality of life of local communities. The findings of our study suggest that the choice of recreational activities is mainly driven by the features of recreational sites and by visitors’ personal characteristics. Concerning park features, visitors’ choices seem to be mostly driven by features directly related to each activity, such as thematic trails for hiking and climbing routes for rock climbing. Among visitors′ characteristics, we found that both previous experience with the activity and socio-demographic characteristics had a significant effect on activity choice. Overall, the results of our study can help park authorities in developing management plans aimed specifically at attracting a larger number of visitors of a certain type, which is an important tool to foster the more sustainable forms of tourism.
OP55 Health Technology Assessment In Children And Adolescents: Adolescent Preferences For Child Health Utility 9D Health States
Publisher: Cambridge University Press (CUP)
Date: 2017
DOI: 10.1017/S026646231700143X
Abstract: Preference-based measures of health-related quality of life play a key role in the calculation of Quality-Adjusted Life Years (QALYs) for Health Technology Assessment (HTA). The Child Health Utility 9D (CHU9D) is a new preference-based instrument designed specifically for application in children and adolescents (aged 7 to 17 years). This study aimed to compare Chinese and Australian adolescent population preferences for CHU9D health states using profile case best worst scaling (BWS) methods. Fifty CHU9D health states (blocked into five survey versions) were generated for valuation using a fractional factorial design. Study participants were recruited through an online panel company in Australia, and through primary and secondary schools in China. A latent class modelling framework was adopted for econometric analysis. A total of 1,982 respondents (51 percent female) in Australia and 902 respondents (43 percent female) in China provided useable survey responses. Latent class analysis indicated the existence of preference heterogeneity for both population groups. In the Australian s le, respondents in Class I placed the most importance on the mental health dimensions of the CHU9D (for ex le, Worried and Annoyed) and the least importance on daily activities (for ex le, Activities, Daily routine, Sleep), whilst respondents in Class II placed equal weights on all attributes. In the Chinese s le, respondents in Class I placed the most importance on the Activities dimension of the CHU9D and the least importance on the Annoyed dimension, whist Class II placed the most importance on the Schoolwork dimension and the least importance on Pain. This study has provided important cross-country insights into the use of profile case BWS methods to elicit health state preferences with young people for application in HTA in children and adolescents. The differential latent classes identified between Australia and China highlights the necessity to derive country-specific adolescent scoring algorithms for the CHU9D instrument for application in HTA.
Choosing how best to choose: Antecedent Volition and decision process representation in discrete choice models
Publisher: Elsevier BV
Date: 12-2015
The Role of Attribute Screening and Choice Set Formation in Health Discrete Choice Experiments: Modeling the Impact of Benefit and Risk Attributes
Publisher: Elsevier BV
Date: 08-2022
DOI: 10.1016/J.JVAL.2022.02.005
Abstract: This study aimed to demonstrate the econometric modeling of benefit/risk-based choice set formation (CSF) within health-related discrete choice experiments. In 4 different case studies, first, a trade-off model was fitted building on this, a screening model was fitted and finally, a full CSF model was estimated. This final model allows for attributes to be used first to screen out alternatives from choice tasks before respondents' trade-off attributes and make a choice among feasible alternatives. Educational level and health literacy of respondents were accounted for in all models. Model fit in terms of log likelihood, pseudo-R Choice modelers should pay close attention to noncompensatory respondent behavior when they include benefit or risk attributes in their discrete choice experiment. Further studies should investigate why and when respondents undertake screening behavior. Screening behavior in choice data analysis is always a possibility, so researchers should explore extensions of econometric models to reflect noncompensatory behavior. Assuming that benefit and risk attributes will only affect trade-off behavior is likely to lead to biased conclusions about benefit or risk-based behavior.
Perceptions versus objective measures of environmental quality in combined revealed and stated preference models of environmental valuation
Publisher: Elsevier BV
Date: 1997
Modelling online job search and choices of dentists in the Australian job market: Staged sequential DCEs and FIML econometric methods
Publisher: Elsevier BV
Date: 09-2022
Individuals’ Decisions in the Presence of Multiple Goals
Publisher: Springer Science and Business Media LLC
Date: 11-05-2017
The influence of task complexity on consumer choice: A latent class model of decision strategy switching
Publisher: Oxford University Press (OUP)
Date: 06-2001
DOI: 10.1086/321952
A joint best–worst scaling and stated choice model considering observed and unobserved heterogeneity: An application to residential location choice
Publisher: Elsevier BV
Date: 09-2015
The Information-Economics Perspective on Brand Equity
Publisher: Now Publishers
Date: 2016
DOI: 10.1561/1700000041
Brand effects on choice and choice set formation under uncertainty
Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
Date: 09-2007
Abstract: This paper examines the effects of brand credibility, a central concept in information economics–based approaches to brand effects and brand equity, on consumer choice and choice set formation. We investigate the mechanisms through which credibility effects materialize, namely, through perceived quality, perceived risk, and information costs saved. The credibility of a brand as a signal is defined as the believability of the product position information contained in a brand, which depends on consumer perceptions of the willingness and ability of firms to deliver what they have promised. The choice set is defined as the collection of brands that have a nonzero probability of being chosen among those actually available for choice in a given context. Furthermore, we study the impact of brand credibility on the variance of the stochastic component of utility. Not only do choice model parameters capture the impact of systematic utility differences on choice probabilities, but also the magnitude of this systematic impact is moderated by the relative importance of the stochastic utility component in preference. We term this moderation phenomenon preference discrimination, which we conceptualize as the decision makers' capacity to effectively discriminate between products' utilities in choice situations. We estimate a discrete choice model of brand choice set formation and preference discrimination on experimental data in two categories—juice and personal computers—and find strong evidence for brand credibility effects and differential mechanisms through which brand credibility's impact materializes on brand choice conditional on choice set, choice set formation, and preference discrimination.
The effects of brand credibility on customer loyalty
Publisher: Elsevier BV
Date: 05-2008
A non-compensatory choice model incorporating attribute cutoffs
Publisher: Elsevier BV
Date: 11-2001
Choice models based on mixed discrete/continuous PDFs
Publisher: Elsevier BV
Date: 08-2009
Using repeated cross-sectional travel surveys to enhance forecasting robustness: Accounting for changing mode preferences
Publisher: Elsevier BV
Date: 09-2014
Choice set formation for outdoor destinations: The role of motivations and preference discrimination in site selection for the management of public expenditures on protected areas
Publisher: Elsevier BV
Date: 2017
Goal-based models for discrete choice analysis
Publisher: Elsevier BV
Date: 07-2017
Brand credibility, brand consideration, and choice
Publisher: Oxford University Press (OUP)
Date: 06-2004
DOI: 10.1086/383434
Not just noise: A goal pursuit interpretation of stochastic choice.
Publisher: American Psychological Association (APA)
Date: 10-2018
DOI: 10.1037/DEC0000077
Choice Set Formation in Residential Mobility and Its Implications For Segregation Dynamics
Publisher: Duke University Press
Date: 21-08-2019
DOI: 10.1007/S13524-019-00810-5
Abstract: We develop and estimate a statistical model of neighborhood choice that draws on insights from cognitive science and decision theory as well as qualitative studies of housing search. The model allows for a sequential decision process and the possibility that people consider a small and selective subset of all potential destinations. When combined with data from the Los Angeles Family and Neighborhood Survey, our model reveals that affordability constraints and households’ tendency toward short-distance moves lead blacks and Hispanics to have racially stratified choice sets in which their own group is disproportionately represented. We use an agent-based model to assess how racially stratified choice sets contribute to segregation outcomes. Our results show that cognitive decision strategies can lify patterns of segregation and inequality.
Choice and temporal welfare impacts: Incorporating history into discrete choice models
Publisher: Elsevier BV
Date: 2004
Discussion of Alleviating the constant stochastic variance assumption in decision research: Theory, measurement, and experimental test
Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
Date: 2010
Abstract: We discuss the Salisbury and Feinberg paper [Salisbury, L. C., F. M. Feinberg. 2010. Alleviating the constant stochastic variance assumption in decision research: Theory, measurement, and experimental test. Marketing Sci. 29(1) 1–17], setting their contribution in the historical context of the wider literature on the role of error variability in discrete choice models. We discuss the seminal nature of their contribution and suggest that the paper should be required reading for current and future Ph.D. students.
The equalization price: A measure of consumer-perceived brand equity
Publisher: Elsevier BV
Date: 03-1993
Capturing Context-Sensitive Information Usage in Choice Models via Mixtures of Information Archetypes
Publisher: SAGE Publications
Date: 10-2016
DOI: 10.1509/JMR.12.0518
Abstract: The authors offer a new conceptualization and operational model of consumer choice that allows context-sensitive information usage and preference heterogeneity to be separately and simultaneously captured, thus transforming the axiom of full information use into a testable hypothesis. A key contribution of the proposed framework is the integration of two previously disjointed and often antagonistic research paradigms: (1) the economic rationality perspective, which assumes stable preferences and full information usage, and (2) the psychological bounded-rationality perspective, which allows context-sensitive preferences and information selectivity. The authors demonstrate that the two paradigms can and do coexist in the same decision-making space, even at the level of in idual consumer choices. The proposed information archetype mixture model is tested in four studies that span different product categories and levels of task complexity. The findings have ramifications for choice modeling theory and implementation, beyond the disciplinary boundaries of marketing to applied economics and choice-focused social sciences.
Social Cooperation in the Context of Integrated Private and Common Land Management
Publisher: Springer Science and Business Media LLC
Date: 25-11-2019
Channels for search and purchase: Does mobile Internet matter?
Publisher: Elsevier BV
Date: 11-2017
Comment on current issues and a 'wish list' for conjoint analysis
Publisher: Wiley
Date: 07-2005
DOI: 10.1002/ASMB.563
National identity predicts public health support during a global pandemic
Publisher: Springer Science and Business Media LLC
Date: 26-01-2022
DOI: 10.1038/S41467-021-27668-9
Abstract: Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national s les. Study 2 ( N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic ( r = −0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics.
Identifying the impact of social influences in health-related discrete choice experiments
Publisher: Public Library of Science (PLoS)
Date: 19-10-2022
DOI: 10.1371/JOURNAL.PONE.0276141
Abstract: Several disciplines, among them health, sociology, and economics, provide strong evidence that social context is important to in idual choices. It is therefore surprising that relatively little research has been focused on integrating the effect of social influence into choice models, especially given the importance of such choices in healthcare. This study developed and empirically tested a choice model that accounts for social network influences in a discrete choice experiment (DCE). We focused on maternal choices for childhood vaccination in Australia, and used an econometric choice model that explicitly 1) incorporated vaccine schedule characteristics, benefits and costs, and 2) represented up to ten different identifiable key influencer types (e.g., partner, parents, friends, healthcare professionals, inter alia ), allowing for the attribution of directional importance of each influencer on the gravid woman’s decision to adhere to or reject childhood vaccination. Pregnant women (N = 604) aged 18 years and older recruited from an online panel completed a survey, including a DCE and questions about key influencers. A two-class ordered latent class model was conducted to analyse the DCE data, which assumes that the underlying latent driver (in our case the WHO vaccine hesitancy scale) is ordered, to give a practical interpretation of the meaning of the classes. When the choice model considered both childhood vaccination attributes and key influencers, a very high model fit was reached. The impact of key influencers on maternal choice for childhood vaccination was massive compared to the impact of childhood vaccination attributes. The marginal impact differed between key influencers. Our DCE study showed that the maternal decision for childhood vaccination was essentially almost completely socially driven, suggesting that the potential impact of social network influences can and should be considered in health-related DCEs, particular those where there are likely to be strong underlying social norms dictating decision maker behaviour.
Separating generalizable from source-specific preference heterogeneity in the fusion of revealed and stated preferences
Publisher: Elsevier BV
Date: 09-2021
Are food choices really habitual? Integrating habits, variety-seeking, and compensatory choice in a utility-maximizing framework
Publisher: Wiley
Date: 16-10-2013
DOI: 10.1093/AJAE/AAS078
“Whose plan is it?” understanding how the goal pursuit of consumers and carers influence choices in the australian disability sector
Publisher: Elsevier BV
Date: 09-2021
A comparison of stated preference methods for environmental valuation
Publisher: Elsevier BV
Date: 09-1996
Reconceptualising the External Validity of Discrete Choice Experiments
Publisher: Springer Science and Business Media LLC
Date: 12-06-2014
DOI: 10.1007/S40273-014-0181-7
Abstract: External validity is a crucial but under-researched topic when considering using discrete choice experiment (DCE) results to inform decision making in clinical, commercial or policy contexts. We present the theory and tests traditionally used to explore external validity that focus on a comparison of final outcomes and review how this traditional definition has been empirically tested in health economics and other sectors (such as transport, environment and marketing) in which DCE methods are applied. While an important component, we argue that the investigation of external validity should be much broader than a comparison of final outcomes. In doing so, we introduce a new and more comprehensive conceptualisation of external validity, closely linked to process validity, that moves us from the simple characterisation of a model as being or not being externally valid on the basis of predictive performance, to the concept that external validity should be an objective pursued from the initial conceptualisation and design of any DCE. We discuss how such a broader definition of external validity can be fruitfully used and suggest innovative ways in which it can be explored in practice.
Context Dependence and Aggregation in Disaggregate Choice Analysis
Publisher: Springer Science and Business Media LLC
Date: 08-2002
The impact of brand credibility on consumer price sensitivity
Publisher: Elsevier BV
Date: 03-2002
Perceptions versus Objective Measures of Environmental Quality in Combined Revealed and Stated Preference Models of Environmental Valuation
Publisher: Edward Elgar Publishing
Date: 28-05-2003
The effects of temporal consistency of sales promotions and availability on consumer choice behavior
Publisher: SAGE Publications
Date: 08-2002
DOI: 10.1509/JMKR.39.3.304.19106
Abstract: The importance of consistency of the marketing mix is widely regarded as a key marketing principle. Consistency is commonly understood to apply among marketing mix elements, but it also involves a temporal dimension: Marketing messages and, more generally, marketing mix strategies should achieve some degree of consistency over time. In this article, the authors focus on a particular aspect of marketing mix consistency over time in the context of frequently purchased packaged consumer goods: They investigate the impact of temporal consistency on store promotions, as well as the availability of the product on the shelf, on consumer product evaluations (utilities) and choices. In this specific context, temporal (in)consistency captures the degree of variability of prices, displays, and features, as well as availability over time, for a stockkeeping unit. The authors find that sales promotion mix consistency over time affects both consumer utility mean and scale and thus consumers’ choices and brand shares. Lack of sales promotion mix consistency is generally deleterious to consumer brand evaluations through (1) decreases to average valuations and (2) decreases in scale, both of which can lead to decreases in market share.
Psychological indicators of innovation adoption: Cross-classification based on need for cognition and need for change
Publisher: Crossref
Date: 2002
Choice set generation within the generalized extreme value family of discrete choice models
Publisher: Elsevier BV
Date: 08-2001
Related Organisations
Massachusetts Institute Of Technology
Location: United States of America
Related Funding Activities
Improving Choice Models: Multiple Goal Pursuit And Multi-stage Decision Processes
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End Date: 2016
Funder: Australian Research Council
View Funded ActivityChoice Foundations: Diagnostic Tools For Individual-level Model Development
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End Date: 2020
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP140103966
Start Date: 06-2014
End Date: 12-2017
Amount: $680,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP180101070
Start Date: 05-2018
End Date: 10-2018
Amount: $437,510.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP120200571
Start Date: 12-2012
End Date: 12-2015
Amount: $140,000.00
Funder: Australian Research Council
View Funded Activity