Journal of Choice Modelling最新文献_第9页

Do choice tasks and rating scales elicit the same judgments? 选择任务和评分量表是否会引发相同的判断？

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-12-01 Epub Date: 2023-08-31 DOI: 10.1016/j.jocm.2023.100437

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":"2023-12-01","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}

引用次数: 0

Cube model: Predictions and account for best–worst choice situations with three choice alternatives 立方体模型：预测并说明三种选择方案的最佳-最差选择情况

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-12-01 Epub Date: 2023-09-20 DOI: 10.1016/j.jocm.2023.100448

Adele Diederich , Keivan Mallahi-Karai

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 Epub Date: 2023-05-19 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

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 Epub Date: 2023-07-15 DOI: 10.1016/j.jocm.2023.100432

Gianfranco Piras , Mauricio Sarrias

引用次数: 0

A cross-sectional exploration of labor supply, gender, and household wealth in urban China 中国城市劳动力供给、性别和家庭财富的横断面调查

IF 2.4 3区经济学

Journal of Choice Modelling Pub Date : 2023-09-01 Epub Date: 2023-07-24 DOI: 10.1016/j.jocm.2023.100433

Xuehui Han , Tao Zhang , John K. Dagsvik , Yuan Cheng

{"title":"A cross-sectional exploration of labor supply, gender, and household wealth in urban China","authors":"Xuehui Han , Tao Zhang , John K. Dagsvik , Yuan Cheng","doi":"10.1016/j.jocm.2023.100433","DOIUrl":"https://doi.org/10.1016/j.jocm.2023.100433","url":null,"abstract":"<div><p>We propose a modeling framework that uses only cross-sectional data to disentangle labor supply and demand choices simultaneously. This modeling framework extends the labor-market analytical toolkits to adapt to environments where data are limited, flexibility in working hours is lacking, or structural changes are present, as is the case in most emerging and low-income countries. We showcase our model by using the 2011 China Household Finance<span> Survey to decipher labor market choices in urban China. We find that the main discrepancies in labor supply between males and females are driven by the number and age of children, the lower utility of working rather than fewer job opportunities for females, and larger impacts of education and work experience on females’ job opportunities. Household wealth in the form of ‘cash inflow’ incentivizes individuals not to work, while wealth in the form of ‘stock’ induces higher utility to work for both males and females. The interpretation of empirical findings hinges on particular assumptions that might be disputed.</span></p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"48 ","pages":"Article 100433"},"PeriodicalIF":2.4,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181200","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

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 Epub Date: 2023-07-15 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 Epub Date: 2023-06-10 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 Epub Date: 2023-07-17 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 Epub Date: 2023-07-24 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 Epub Date: 2023-07-13 DOI: 10.1016/j.jocm.2023.100429

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

引用次数: 0