Journal of Choice Modelling最新文献_第6页

One or two-step? Evaluating GMM efficiency for spatial binary probit models 一步还是两步？空间二元probit模型的GMM效率评估

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-09-01 DOI: 10.1016/j.jocm.2023.100432

Gianfranco Piras , Mauricio Sarrias

引用次数: 0

How to ask twenty questions and win: Machine learning tools for assessing preferences from small samples of willingness-to-pay prices 如何提出20个问题并获胜：从支付价格意愿的小样本中评估偏好的机器学习工具

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-09-01 DOI: 10.1016/j.jocm.2023.100418

Konstantina Sokratous, Anderson K. Fitch, Peter D. Kvam

{"title":"How to ask twenty questions and win: Machine learning tools for assessing preferences from small samples of willingness-to-pay prices","authors":"Konstantina Sokratous, Anderson K. Fitch, Peter D. Kvam","doi":"10.1016/j.jocm.2023.100418","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100418","url":null,"abstract":"<div><p>Subjective value has long been measured using binary choice experiments, yet responses like willingness-to-pay prices can be an effective and efficient way to assess individual differences risk preferences and value. Tony Marley’s work illustrated that dynamic, stochastic models permit meaningful inferences about cognition from process-level data on paradigms beyond binary choice, yet many of these models remain difficult to use because their likelihoods must be approximated from simulation. In this paper, we develop and test an approach that uses deep neural networks<span> to estimate the parameters of otherwise-intractable behavioral models. Once trained, these networks allow for accurate and instantaneous parameter estimation. We compare different network architectures and show that they accurately recover true risk preferences related to utility, response caution, anchoring, and non-decision processes. To illustrate the usefulness of the approach, it was then applied to estimate model parameters for a large, demographically representative sample of U.S. participants who completed a 20-question pricing task — an estimation task that is not feasible with previous methods. The results illustrate the utility of machine-learning approaches for fitting cognitive and economic models, providing efficient methods for quantifying meaningful differences in risk preferences from sparse data.</span></p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"48 ","pages":"Article 100418"},"PeriodicalIF":2.4,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181605","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

Integrating a choice experiment into an agent-based model to simulate climate-change induced migration: The case of the Mekong River Delta, Vietnam 将选择实验整合到基于代理的模型中，以模拟气候变化引发的移民：以越南湄公河三角洲为例

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-09-01 DOI: 10.1016/j.jocm.2023.100428

Tra Thi Trinh , Alistair Munro

{"title":"Integrating a choice experiment into an agent-based model to simulate climate-change induced migration: The case of the Mekong River Delta, Vietnam","authors":"Tra Thi Trinh , Alistair Munro","doi":"10.1016/j.jocm.2023.100428","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100428","url":null,"abstract":"<div><p>Forecasting the future impact of climate change on migration is difficult, for many reasons, including the interactive and dynamic nature of many decisions and the heterogeneity of behavior. One popular solution, agent-based models (ABM) cope well with dynamics and heterogeneity, but often lack rigorous foundations in terms of individual behavior. Moreover, given limited exposure to actual climate change, it can be a challenge to build adequate behavioral models of migration choice based on historical data. To tackle this issue, we build an ABM of future migration using a bespoke choice experiment (CE) designed to examine intention to migrate among farmers living in the Vietnamese Mekong Delta (VMD). In the CE, respondents are asked to make migration choices for scenarios constructed using six attributes: drought intensity, flood frequency, income gain from migration, migration networks, neighbors' choice, and crop choice restriction. The simulation runs to 2050 and is based on two scenarios of future global emissions of greenhouse gases—Representative Concentration Pathway (RCP) 4.5 and RCP8.5. The results suggest potentially high levels of migration as a result of climate change and the particular importance of positive feedback from pre-existing migration and neighbor's choices. The results also suggest that crop-restriction regulations have a significant impact on migration for coastal provinces of VMD. Finally, we find that migration drivers vary significantly across provinces, which suggests the policymakers point to targeted action for each province. In summary, the study demonstrates how integrating CE into ABM can foster the predictive modeling of climate-induced migration.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"48 ","pages":"Article 100428"},"PeriodicalIF":2.4,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181608","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

NP4VTT: A new software for estimating the value of travel time with nonparametric models NP4VTT:一种用非参数模型估计旅行时间值的新软件

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-09-01 DOI: 10.1016/j.jocm.2023.100427

José Ignacio Hernández, Sander van Cranenburgh

{"title":"NP4VTT: A new software for estimating the value of travel time with nonparametric models","authors":"José Ignacio Hernández, Sander van Cranenburgh","doi":"10.1016/j.jocm.2023.100427","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100427","url":null,"abstract":"<div><p>Two-attribute-two-alternative stated choice experiments are widely used to infer the Value-of-Travel-Time (VTT) distribution. Two-attribute-two-alternative stated choice experiments have the advantage that their data can be analysed using nonparametric models, which allow for the inference of the VTT distribution without having to impose assumptions on its shape. However, a software package that enables researchers to estimate nonparametric models promptly is currently lacking. As a result, nonparametric models are underused. This paper aims to fill this software void. It presents NP4VTT, a Python package that enables researchers to estimate and compare nonparametric models in a fast and convenient way. It comprises five nonparametric models for estimating the VTT distribution from data coming from two-attribute-two-alternative stated choice experiments. We illustrate the use of NP4VTT by applying it to the Norwegian 2009 VTT data. We hope this software package will help researchers studying the VTT make more informed decisions concerning the shape of the VTT distribution and encourages the use and development of nonparametric models for choice behaviour analyses.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"48 ","pages":"Article 100427"},"PeriodicalIF":2.4,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181199","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

Preference estimation from point allocation experiments 基于点分配实验的偏好估计

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-09-01 DOI: 10.1016/j.jocm.2023.100430

Marion Collewet , Paul Koster

引用次数: 0

A randomized group approach to identifying label effects 识别标签效应的随机分组方法

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-09-01 DOI: 10.1016/j.jocm.2023.100435

Brandon R. McFadden , Jayson L. Lusk , Adam Pollack , Joy N. Rumble , Kathryn A. Stofer , Kevin M. Folta

引用次数: 0

Consumer preferences for country of origin labeling: Bridging the gap between research estimates and real-world behavior 消费者对原产国标签的偏好：缩小研究估计与现实世界行为之间的差距

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-09-01 DOI: 10.1016/j.jocm.2023.100429

Bachir Kassas , Xiang Cao , Zhifeng Gao , Lisa A. House , Zhengfei Guan

引用次数: 0

Formative versus reflective attitude measures: Extending the hybrid choice model 形成性与反思性态度测量：扩展混合选择模型

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-09-01 DOI: 10.1016/j.jocm.2023.100412

J.M. Rose , A. Borriello , A. Pellegrini

{"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}

引用次数: 0

A discrete choice modeling framework of heterogenous decision rules accounting for non-trading behavior 考虑非交易行为的异质决策规则的离散选择建模框架

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-09-01 DOI: 10.1016/j.jocm.2023.100413

Evanthia Kazagli , Matthieu de Lapparent

{"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}

引用次数: 0

Theory-driven or data-driven? Modelling ride-sourcing mode choices using integrated choice and latent variable model and multi-task learning deep neural networks 理论驱动还是数据驱动？使用集成选择和潜变量模型以及多任务学习深度神经网络对拼车模式选择进行建模

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-09-01 DOI: 10.1016/j.jocm.2023.100431

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}

引用次数: 1