Journal of Choice Modelling最新文献_第10页

Heterogeneity in choice experiment data: A Bayesian investigation 选择实验数据的异质性：贝叶斯研究

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-03-01 DOI: 10.1016/j.jocm.2022.100398

Lendie Follett , Brian Vander Naald

{"title":"Heterogeneity in choice experiment data: A Bayesian investigation","authors":"Lendie Follett , Brian Vander Naald","doi":"10.1016/j.jocm.2022.100398","DOIUrl":"https://doi.org/10.1016/j.jocm.2022.100398","url":null,"abstract":"<div><p>Discrete mixture (DM) models recognize the presence of heterogeneity across individuals in a given population. In the context of a public land use discrete choice experiment, we use DM models to allow for respondent behavior to probabilistically mix over multiple competing process heuristics. We pairwise combine the Random Utility Model (RUM), Contextual Concavity Model (CCM), and Random Regret Minimization (RRM) heuristic into three DM models, in which the probability of an individual adhering to a particular heuristic is modeled as a function of sociodemographic characteristics. We present a comprehensive Bayesian analysis for which we explicitly describe prior selection, inferential procedures, and model comparison metrics. We use a fully Bayesian information criterion to rank the models. We find evidence that responses are best modeled using random regret. After accounting for preference heterogeneity, the DM models estimate two latent groups of decision makers. For the DM models, we develop a novel algorithm to calculate posterior-weighted willingness to pay estimates for improvements in different public park amenities in Polk County, Iowa.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"46 ","pages":"Article 100398"},"PeriodicalIF":2.4,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50198177","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}

引用次数: 1

A control-function correction for endogeneity in random coefficients models: The case of choice-based recommender systems 随机系数模型内生性的控制函数校正：基于选择的推荐系统

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-03-01 DOI: 10.1016/j.jocm.2022.100399

Mazen Danaf , C. Angelo Guevara , Moshe Ben-Akiva

{"title":"A control-function correction for endogeneity in random coefficients models: The case of choice-based recommender systems","authors":"Mazen Danaf , C. Angelo Guevara , Moshe Ben-Akiva","doi":"10.1016/j.jocm.2022.100399","DOIUrl":"https://doi.org/10.1016/j.jocm.2022.100399","url":null,"abstract":"<div><p>Applications of discrete choice models in personalization are becoming increasingly popular among researchers and practitioners. However, in such systems, when users are presented with successive menus (or choice situations), the alternatives and attributes in each menu depend on the choices made by the user in the previous menus. This gives rise to endogeneity which can result in inconsistent estimates. Our companion paper, Danaf et al. (2020), showed that the estimates are only consistent when the entire choice history of each user is included in estimation. However, this might not be feasible because of computational constraints or data availability. In this paper, we present a control-function (CF) correction for the cases where the choice history cannot be included in estimation. Our method uses the attributes of <strong>non-personalized</strong> attributes as instruments, and applies the CF correction by including interactions between the explanatory variables and the first stage residuals. Estimation can be done either sequentially or simultaneously, however, the latter is more efficient (if the model reflects the true data generating process). This method is able to recover the population means of the distributed coefficients, especially with a long choice history. The variances are underestimated, because part of the inter-consumer variability is explained by the residuals, which are included in the systematic utility. However, the population variances can be computed from the estimation results. The modified utility equations (which include the residuals) can be used in forecasting and model application, and provide superior fit and predictions.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"46 ","pages":"Article 100399"},"PeriodicalIF":2.4,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50198668","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}

引用次数: 0

R packages and tutorial for case 1 best–worst scaling 案例1最佳-最差缩放的R包和教程

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-03-01 DOI: 10.1016/j.jocm.2022.100394

Hideo Aizaki , James Fogarty

引用次数: 6

Real payment priming to reduce potential hypothetical bias 真实支付启动，以减少潜在的假设偏见

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2022-12-01 DOI: 10.1016/j.jocm.2022.100383

Qi Jiang , Jerrod Penn , Wuyang Hu

引用次数: 1

Seen but not considered? Awareness and consideration in choice analysis 看到了却不考虑?选择分析中的意识和考虑

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2022-12-01 DOI: 10.1016/j.jocm.2022.100375

Anna Kristina Edenbrandt , Carl-Johan Lagerkvist , Malte Lüken , Jacob L. Orquin

{"title":"Seen but not considered? Awareness and consideration in choice analysis","authors":"Anna Kristina Edenbrandt , Carl-Johan Lagerkvist , Malte Lüken , Jacob L. Orquin","doi":"10.1016/j.jocm.2022.100375","DOIUrl":"10.1016/j.jocm.2022.100375","url":null,"abstract":"<div><p>Consideration set formation (CSF) is a two-stage decision process in which people first select a subset of products to consider and then evaluate and choose from the selected subset of products. CSF models typically use stated consideration or infer it from choice data probabilistically. This study explores CSF by means of eye-tracking and evaluates how measures of visual consideration compare to stated consideration. We develop a model of CSF behavior, where stated and visual consideration are embedded in the specification of the utility function. We propose three different measures of visual consideration and show that one third of respondents (∼34%) use CSF behavior and that stated consideration diverges substantially from visual consideration. Surprisingly, many product types stated as not considered receive <em>more</em> visual attention, not less. Our findings suggest that stated consideration may be in part a measure of preferences rather than of consideration, implying concerns with endogeneity when including stated consideration data in choice models. Accounting for CSF in discrete choice analysis increases our understanding of the decision process, and can target concerns with biased estimates when analyzing data from two-stage decision processes.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"45 ","pages":"Article 100375"},"PeriodicalIF":2.4,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S175553452200032X/pdfft?md5=d0e46aa7f24f406d90fd1066fb2d9f10&pid=1-s2.0-S175553452200032X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84267003","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}

引用次数: 2

Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral 使用Choquet积分对COVID-19疫苗偏好进行陈述选择分析

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2022-12-01 DOI: 10.1016/j.jocm.2022.100385

Rico Krueger , Ricardo A. Daziano

引用次数: 0

Decision Field Theory: Equivalence with probit models and guidance for identifiability 决策场理论:与probit模型的等价性和可辨识性的指导

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2022-12-01 DOI: 10.1016/j.jocm.2022.100358

Teodóra Szép, Sander van Cranenburgh, Caspar G. Chorus

{"title":"Decision Field Theory: Equivalence with probit models and guidance for identifiability","authors":"Teodóra Szép, Sander van Cranenburgh, Caspar G. Chorus","doi":"10.1016/j.jocm.2022.100358","DOIUrl":"10.1016/j.jocm.2022.100358","url":null,"abstract":"<div><p>We examine identifiability and distinguishability in Decision Field Theory (DFT) models and highlight pitfalls and how to avoid them. In the past literature, the models’ parameters have been put forward as being able to capture the psychological processes in a decision maker’s mind during deliberation. DFT models have been widely used to analyse human decision making behaviour, and many empirical applications in the choice modelling domain rely solely on data concerning the observed final choice. This raises the question if such data are rich enough to allow for the identification of the model’s parameters. Insight into identifiability and distinguishability is crucial as it allows the researcher to determine which behavioural and psychological conclusions can or cannot be drawn from the estimated DFT model and how a DFT model can be specified in such a way that resulting parameters have meaningful interpretations. In this paper, we address this issue. To do this, we first show which specifications of DFT are equivalent to conventional probit models. Then, building on this equivalence result, we apply established analytical methods to highlight and explain the identification and distinguishability issues that arise when estimating DFT models on conventional choice data. We find evidence that some of the DFT models’ special cases suffer from identifiability issues. Our results warrant caution when DFT models are used to infer psychological processes and human behaviour from conventional choice data, and they help researchers choose the correct specification of DFT models.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"45 ","pages":"Article 100358"},"PeriodicalIF":2.4,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755534522000161/pdfft?md5=0dae72f33f6af8de04230e882196343c&pid=1-s2.0-S1755534522000161-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72374149","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}

引用次数: 0

Preference reversal: Analysis using construal level theory that incorporates discounting 偏好反转:使用包含贴现的解释水平理论进行分析

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2022-12-01 DOI: 10.1016/j.jocm.2022.100384

Makoto Abe , Mitsuru Kaneko

{"title":"Preference reversal: Analysis using construal level theory that incorporates discounting","authors":"Makoto Abe , Mitsuru Kaneko","doi":"10.1016/j.jocm.2022.100384","DOIUrl":"10.1016/j.jocm.2022.100384","url":null,"abstract":"<div><p>According to the behavioral decision theory, time discounting is often used to explain preference reversals. However, the discounting theory fails to explain some types of preference reversals. Furthermore, preference reversals are limited to those along the time axis (i.e., temporal distance). To extend our knowledge of preference reversals in various choice contexts, this study constructs an analytical framework that combines the time discounting notion of behavioral decision theory and construal level theory developed in social psychology. We put forward three propositions for discounting: magnitude effect (the higher the construal level, the smaller the discounting rate), sign effect (the discounting rate is smaller for losses than for gains), and generalization of distance (discounting applies not only to temporal distance but also to psychological distances such as social distance). These propositions were validated in two studies. In Study 1, we conducted a series of three experiments on a lottery choice task using two samples of respondents (i.e., students and a web panel). In Study 2, we estimated the discounting rates of the higher and lower construal levels by employing multiple intertemporal choice tasks. While many choices involve trade-offs among attributes, the effects of changes in psychological distances are not clear. However, by identifying whether these attributes evoke high or low construal levels and whether the aspects are related to gains or losses, our approach greatly facilitates the analysis of how evaluation and preference are affected by psychological distance, and consequently, that of preference reversal behavior.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"45 ","pages":"Article 100384"},"PeriodicalIF":2.4,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90970378","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}

引用次数: 0

The value of consideration data in a discrete choice experiment 离散选择实验中对价数据的价值

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2022-12-01 DOI: 10.1016/j.jocm.2022.100374

Samson Yaekob Assele , Michel Meulders , Martina Vandebroek

{"title":"The value of consideration data in a discrete choice experiment","authors":"Samson Yaekob Assele , Michel Meulders , Martina Vandebroek","doi":"10.1016/j.jocm.2022.100374","DOIUrl":"10.1016/j.jocm.2022.100374","url":null,"abstract":"<div><p>In stated preference surveys, data regarding the considered alternatives is sometimes collected prior to the preferred alternative. When the chosen alternative is not in the stated consideration set, the consideration data is inconsistent with the choice data. Several modeling approaches have been used in such situations. Some researchers ignore the consideration data and assume all alternatives are considered. Others only use the consistent choice data and delete the inconsistent observations. The most intricate methods use a latent consideration set formation approach in modeling the choice process. We extend the latent consideration set formation model to incorporate the stated consideration data but allow for inconsistencies in consideration and choice data, and allow for individual-level heterogeneity in the consideration and the choice process. We compare the recovery of the mean population preference parameters of our model with the existing approaches through simulation. The results show that if there is a similar effect of the attributes in both the consideration phase and the choice phase, the mixed logit model is not outperformed by the two-stage models. In contrast, when there is a sufficiently different effect of attributes in the consideration and the choice phase, two-stage models can recover the mean population preference parameters better than the mixed logit model. Furthermore, we can conclude that having stated consideration data barely improves the recovery of the mean preference parameters compared to a latent consideration set choice model that only uses choice data. Finally, we illustrate the models using empirical data about preferences for mobile phones.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"45 ","pages":"Article 100374"},"PeriodicalIF":2.4,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755534522000318/pdfft?md5=708c73d2db9e5d7c46fc6c515bbd2f03&pid=1-s2.0-S1755534522000318-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83781584","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}

引用次数: 1

Modelling online job search and choices of dentists in the Australian job market: Staged sequential DCEs and FIML econometric methods 模拟在线求职和选择牙医在澳大利亚就业市场:阶段顺序dce和FIML计量经济学方法

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2022-09-01 DOI: 10.1016/j.jocm.2022.100372

Elisabeth Huynh , Joffre Swait , Emily Lancsar

{"title":"Modelling online job search and choices of dentists in the Australian job market: Staged sequential DCEs and FIML econometric methods","authors":"Elisabeth Huynh , Joffre Swait , Emily Lancsar","doi":"10.1016/j.jocm.2022.100372","DOIUrl":"https://doi.org/10.1016/j.jocm.2022.100372","url":null,"abstract":"<div><p>Workforce participation decisions involve multiple stages: search, screening and offer evaluation. Standard econometric practice focusses on these stages in isolation. We conceptualize the focal behaviours as separate sequential decision stages, and provide a stated preference measurement framework for online job search and choice with a behaviourally consistent modelling approach. We demonstrate this approach in an empirical application of 275 dentists who completed an online survey including two Discrete Choice Experiments: the first mimicked an online job search site in which dentists decided which jobs they would apply to and the second presented dentists with a job offer which they accepted or rejected. Modelling these tasks requires a two-stage econometric model that incorporates the likelihood of application (first stage) into the job offer choice (second stage). The model detects differences in preferences (hence behaviours) across stages, facilitating the differentiation of policy aimed at search and job choice behaviours. Job screening occurs during search and the marginal propensity to apply for a job-type differs from the offer stage. We suggest that the approach presented provides a valuable way to investigate how dentists particularly, and perhaps the health workforce more generally, respond at different stages of workforce participation decisions and discuss practical implications.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"44 ","pages":"Article 100372"},"PeriodicalIF":2.4,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S175553452200029X/pdfft?md5=052dad804a4cd291242f3064540c2818&pid=1-s2.0-S175553452200029X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91639956","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}

引用次数: 0