{"title":"Formative versus reflective attitude measures: Extending the hybrid choice model","authors":"J.M. Rose , A. Borriello , A. Pellegrini","doi":"10.1016/j.jocm.2023.100412","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100412","url":null,"abstract":"<div><p>The inclusion of attitudinal indicator variables within discrete choice models is now largely common practice. Typically, this involves the estimation of multiple indicator multiple cause (MIMIC) type models which are used to construct latent attitudinal variables that are then employed as independent variables within standard discrete choice models. Such models, collectively termed hybrid choice models (HCM) assume a particular causal relationship between the indicator variables, latent construct, and choice. In effect, the underlying assumption of such a model system is that latent variables of interest exist independent of the indicator variables used to measure them, and that the survey items used are reflective in nature insofar as responses to such questions reflect the underlying constructs. In this paper, we describe an alternative form of attitude measure, known as formative measures, where the items themselves are used to create the latent variable rather than the other way around. In addition to making a distinction between formative and reflective attitudinal measures, the paper seeks to describe how the HCM can be adapted to model different types of attitude question formats. Further the paper seeks to act as a catalyst for choice modellers to think more about the quality and validity of attitudinal items capture in survey questionnaires, by placing more emphasis on proper scale development techniques.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"48 ","pages":"Article 100412"},"PeriodicalIF":2.4,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A discrete choice modeling framework of heterogenous decision rules accounting for non-trading behavior","authors":"Evanthia Kazagli , Matthieu de Lapparent","doi":"10.1016/j.jocm.2023.100413","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100413","url":null,"abstract":"<div><p>We present a discrete choice modeling framework with heterogeneous decision rules accounting for non-trading behavior. The proposed approach builds upon the state-of-the-art probabilistic finite mixture models and tackles non-trading behavior while accounting for inertia effects and serial correlation in the SP data, and contextual effects on the probability of an individual employing a specific decision rule. The framework involves three subpopulations of decision-makers, referred to respectively as pure utility-maximizers, utility-maximizers with strong preference for one alternative, and non-traders non-utility-maximizers employing a non-trading heuristic. The second subpopulation is expected to exhibit non-trading behavior, despite making trade-offs consistent with utility maximization. Our goal is to disentangle the two types of manifested non-trading behavior. We assume that the manifestation of non-trading behavior – by otherwise utility-maximizing individuals – may be driven by important <em>context variables</em>. In order to accommodate this assumption in the modeling framework, we define and add a relative advantage (RA) component in the class-membership model. Finally, we apply the framework to a Swiss stated preferences (SP) mode choice case study, and demonstrate the impact of accounting for non-trading behavior on the value of time estimates.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"48 ","pages":"Article 100413"},"PeriodicalIF":2.4,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ainhoa Vega-Bayo , Petr Mariel , Jürgen Meyerhoff , Armando Maria Corsi , Milan Chovan
{"title":"Climate change adaptation preferences of winemakers from the Rioja wine appellation","authors":"Ainhoa Vega-Bayo , Petr Mariel , Jürgen Meyerhoff , Armando Maria Corsi , Milan Chovan","doi":"10.1016/j.jocm.2023.100434","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100434","url":null,"abstract":"<div><p>This paper uses a discrete choice experiment to elicit winemakers' preferences towards climate change adaptation options in the Spanish Rioja region. The experiment includes different potential adaptation strategies such as relocation, the use of various grape clones, the installation of an irrigation system, the construction of vegetative or artificial structures to shade the vines, and oenological adaptations. The results show that the most widely accepted strategy is the installation of irrigation and shading structures. In contrast, the least accepted strategy is relocating, which is a costly and long-term solution. The monetary measures obtained are useful for policymakers because they show how much financial assistance will be required to adapt to climate change and maintain the high-quality wine production of the region. We also investigate the precision that can be expected from choice models with small samples through a simulation study, demonstrating the possibility of recovering true parameter values with small sample sizes using a specific experimental design tailored to the attributes and levels of the study.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"48 ","pages":"Article 100434"},"PeriodicalIF":2.4,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yicong Liu, Patrick Loa, Kaili Wang, Khandker Nurul Habib
{"title":"Theory-driven or data-driven? Modelling ride-sourcing mode choices using integrated choice and latent variable model and multi-task learning deep neural networks","authors":"Yicong Liu, Patrick Loa, Kaili Wang, Khandker Nurul Habib","doi":"10.1016/j.jocm.2023.100431","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100431","url":null,"abstract":"<div><p><span>Ride-sourcing services have had a disruptive impact on urban mobility. However, the perceived risk of contracting the COVID-19 virus while using these services has negatively affected people's willingness to travel by this mode. Therefore, it is essential to understand the factors influencing ride-sourcing usage during and after the pandemic. This study utilized data collected through stated preference experiments to model mode choice decisions during and after the pandemic. The study applied both theory-driven integrated choice and latent variable (ICLV) models and data-driven multi-task learning (MTL) deep </span>neural network<span> framework. The study found that the MTL models achieved the highest prediction accuracies. Additionally, econometric information was derived from both ICLV and MTL models. The marginal effects of level-of-service (LOS) variables were largely agreed between the ICLV and MTL models. However, only the latent variables from the ICLV models presented meaningful behavioural interpretations. The study found that individuals who believed there was greater risk associated with ride-sourcing during the pandemic were less likely to use these services. The ICLV model interpretations also indicate that the perceived safety of using ride-sourcing services is higher during the post-pandemic period compared to during the pandemic period. This finding provides reassurance regarding the recovery and growth of ride-sourcing usage in the post-pandemic era.</span></p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"48 ","pages":"Article 100431"},"PeriodicalIF":2.4,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reducing sample size requirements by extending discrete choice experiments to indifference elicitation","authors":"Ambuj Sriwastava, Peter Reichert","doi":"10.1016/j.jocm.2023.100426","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100426","url":null,"abstract":"<div><p>Discrete choice (DC) methods provide a convenient approach for preference elicitation and they lead to unbiased estimates of preference model parameters if the parameterization of the value function allows for a good description of the preferences. On the other hand, indifference elicitation (IE) has been suggested as a direct trade-off estimator for preference elicitation in decision analysis decades ago, but has not found widespread application in statistical analysis frameworks as for discrete choice methods. We develop a hierarchical, probabilistic model for IE that allows us to do Bayesian inference similar to DC methods. A case study with synthetically generated data allows us to investigate potential bias and to estimate parameter uncertainty over a wide range of numbers of replies and elicitation uncertainties for both DC and IE. Through an empirical case study with laboratory-scale choice and indifference experiments, we investigate the feasibility of the approach and the excess time needed for indifference replies. Our results demonstrate (i) the absence of bias of the suggested methodology, (ii) a reduction in the uncertainty of estimated parameters by about a factor of three or a reduction of the required number of replies to achieve a similar accuracy as with DC by about a factor of ten, (iii) the feasibility of the approach, and (iv) a median increase in time needed for indifference reply of about a factor of three. If the set of respondents is small, the higher elicitation effort may be worth to achieve a reasonable accuracy in estimated value function parameters.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"48 ","pages":"Article 100426"},"PeriodicalIF":2.4,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Quentin F. Gronau, Murray S. Bennett, Scott D. Brown, Guy E. Hawkins, Ami Eidels
{"title":"Do choice tasks and rating scales elicit the same judgments?","authors":"Quentin F. Gronau, Murray S. Bennett, Scott D. Brown, Guy E. Hawkins, Ami Eidels","doi":"10.1016/j.jocm.2023.100437","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100437","url":null,"abstract":"<div><p>Discrete choice (DCE) and rating scale experiments (RSE) are commonly applied procedures for eliciting preference judgments in a plethora of applied settings such as consumer choices, health care, and transport economics. An almost universal assumption is that actual “ground truth” preferences do not depend on which elicitation procedure is used. It is usually not possible to test this assumption, because typical studies feature response options for which there is no objectively correct response. To make progress on testing this assumption, we conducted a perceptual discrimination experiment where response options varied on a single attribute – stimulus saturation level – with a known objectively correct response. We had the same participants complete both a choice task (CT) and rating scale (RS) version of the experiment, allowing a direct examination of the assumption of a common representation. Our CT featured many characteristics that define a DCE, however, in order to have a known objectively correct response, it also differed in a few important ways. To test the assumption of a common representation, we developed a cognitive model with a response mechanism for both CT and RS. This enabled us to compare a model version that featured one shared latent stimulus representation across CT and RS versus a version which featured separate representations. Our results support the assumption that a single internal state supports both CT and RS responses, and also suggest that the CT method might provide more sensitive measurement of internal states than the RS method.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"49 ","pages":"Article 100437"},"PeriodicalIF":2.4,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50176911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Preferences for online grocery shopping during the COVID-19 pandemic — the role of fear-related attitudes","authors":"Wiktor Budziński , Ricardo Daziano","doi":"10.1016/j.jocm.2023.100416","DOIUrl":"10.1016/j.jocm.2023.100416","url":null,"abstract":"<div><p>In this study, we employ a choice experiment to analyze New York City residents’ preferences for online grocery shopping at the beginning of the COVID-19 pandemic. We employ a latent class specification to identify three market segments and estimate consumers’ willingness to pay for a variety of attributes of online grocery services related to the quality of the stock, delivery characteristics, and the cost of the online order. We characterize consumers in each segment by their observed characteristics as well as fear-related latent variables. On the one hand, we find that individuals who are actively protecting themselves against COVID-19 have a higher willingness to pay for almost all attributes. On the other hand, consumers who avoid crowds have a lower willingness to pay, but they assign relatively higher importance to no-contact delivery.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"47 ","pages":"Article 100416"},"PeriodicalIF":2.4,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170399/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9551578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chiara Calastri , Marek Giergiczny , Andreas Zedrosser , Stephane Hess
{"title":"Modelling activity patterns of wild animals - An application of the multiple discrete-continuous extreme value (MDCEV) model","authors":"Chiara Calastri , Marek Giergiczny , Andreas Zedrosser , Stephane Hess","doi":"10.1016/j.jocm.2023.100415","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100415","url":null,"abstract":"<div><p>Advanced econometric models used in the field of transport or marketing are becoming increasingly sophisticated and able to capture complex decision making and outcomes. In this paper, we apply state-of-the-art discrete-continuous choice models to the field of Ecology, in particular to model activity engagement of the population of Swedish Brown bears. Using data from GPS collars that track wild animals over time, we estimate a Multiple Discrete-Continuous Extreme Value (MDCEV) model to understand activity engagement and duration as a function of both bear characteristics and other external factors. We show that the methodology is not only suitable to address this aim, but also allows us to produce insights into the connection between the animal's age and gender and activity engagement as well as the links with climate variables (temperature and precipitation) and human activity (hunting).</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"47 ","pages":"Article 100415"},"PeriodicalIF":2.4,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50170521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shobhit Saxena , Chandra R. Bhat , Abdul Rawoof Pinjari
{"title":"Separation-based parameterization strategies for estimation of restricted covariance matrices in multivariate model systems","authors":"Shobhit Saxena , Chandra R. Bhat , Abdul Rawoof Pinjari","doi":"10.1016/j.jocm.2023.100411","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100411","url":null,"abstract":"<div><p>Many multivariate model systems involve the estimation of a covariance matrix that must be positive-definite. A common strategy to ensure positive definiteness of the covariance matrix is through the use of a Cholesky parameterization of the covariance matrix. However, several model systems require imposing restrictions on the elements of the covariance elements. For instance, modelling systems may require fixing some (or all) of the diagonal elements in the covariance matrix to unity due to identification considerations. However, imposing such restrictions using the traditional Cholesky decomposition approach is not feasible and requires the additional parameterization of the Cholesky elements.</p><p>In this paper, we explore a separation-based strategy with spherical parameterization of the Cholesky matrix to impose restrictions on the covariance matrix. Importantly, using this separation-based parameterization strategy, we also explore the possibility of restricting some covariance (or correlation) terms to zero. The effectiveness of the proposed strategy is assessed through extensive simulation experiments. The results from the simulation experiments highlight better performance of the separation-based strategy in terms of recovery of model parameters – particularly those in the covariance matrix, than the traditional Cholesky parameterization approach. Finally, the proposed strategy is implemented in a joint multivariate binary probit ordered probit model system to analyze the usage (and the extent of use) of non-private modes of transportation in Bengaluru, India. In doing so, the proposed strategy is implemented to restrict several correlations to zero, thus avoiding the estimation of a profligate correlation matrix and substantially easing the estimation process.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"47 ","pages":"Article 100411"},"PeriodicalIF":2.4,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50170524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yusun Kim, Carson Reeling, Nicole J.O. Widmar, John G. Lee
{"title":"Estimating a model of forward-looking behavior with discrete choice experiments: The case of lifetime hunting license demand","authors":"Yusun Kim, Carson Reeling, Nicole J.O. Widmar, John G. Lee","doi":"10.1016/j.jocm.2023.100414","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100414","url":null,"abstract":"<div><p>Sales of deer licenses, one of the most important revenue sources for wildlife management at the Indiana Department of Natural Resources<span> (IDNR), have been declining for a decade. To increase its revenue, the IDNR is considering introducing a new lifetime deer license for sale. This license would allow hunters to harvest deer (and possibly other species) each year for the rest of their lives in exchange for a relatively large up-front fee. The forward-looking nature of the decision to buy a lifetime license means hunters' choice behavior is necessarily dynamic. Prior work estimates preferences for long-lived, durable goods<span> using standard discrete choice experiments underpinned by static models. We derive a dynamic discrete choice model of lifetime license purchases. Our model informs the design of a novel, dynamic discrete choice experiment, generating data that allows us to consistently estimate individuals’ forward-looking preferences for lifetime hunting licenses. We use our model to estimate the price of lifetime licenses that maximizes IDNR revenues.</span></span></p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"47 ","pages":"Article 100414"},"PeriodicalIF":2.4,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50170523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}