Patricio Salas , Rodrigo De la Fuente , Sebastian Astroza , Juan Antonio Carrasco
{"title":"Analysis of attribute importance in multinomial logit models using Shapley values-based methods","authors":"Patricio Salas , Rodrigo De la Fuente , Sebastian Astroza , Juan Antonio Carrasco","doi":"10.1016/j.jocm.2025.100538","DOIUrl":"10.1016/j.jocm.2025.100538","url":null,"abstract":"<div><div>This paper investigates the use of Shapley values-based methods to determine the importance of attributes in discrete choice models, specifically within a Multinomial Logit (MNL) framework. We extend the Shapley decomposition Shorrocks (2013) method from linear models. Additionally, the SHAP method Lundberg and Lee (2017) idea is applied to assess the impact of attributes on individual-level choice probability predictions. A simulation study demonstrates the effectiveness of these approaches under various experimental conditions, including attributes in several ranges and interaction terms. Finally, an empirical application is conducted using well-known travel mode choice datasets. The simulation results show that Shapley values accurately capture the global importance of attributes on goodness-of-fit. The SHAP method provides transparency in MNL model predictions, clarifying how changes in attribute values influence choice probabilities for each decision-maker. These methods offer a complementary perspective to traditional metrics like elasticities and traditional relative importance analysis Orme(2006). In the empirical application, Shapley decomposition highlights the most relevant attributes, while SHAP values uncover individual-level impacts that might not be apparent through elasticities alone. Global and individual-level analysis offers a more comprehensive understanding of attribute importance. In summary, integrating Shapley values with traditional metrics ensures a robust analysis, aiding practitioners and policymakers in making informed decisions based on broad trends and specific impacts.</div></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"54 ","pages":"Article 100538"},"PeriodicalIF":2.8,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146298","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}
Thomas E. Guerrero B. , Nicolò Avogadro , Raúl Ramos
{"title":"Control Function Approach for Addressing Endogeneity in Transport Models: A Case Study on the London–Amsterdam Route","authors":"Thomas E. Guerrero B. , Nicolò Avogadro , Raúl Ramos","doi":"10.1016/j.jocm.2024.100537","DOIUrl":"10.1016/j.jocm.2024.100537","url":null,"abstract":"<div><div>Endogeneity is a key empirical challenge in transportation modeling, which may lead to inconsistent estimates and biased policy decisions. This paper investigates the sources of endogeneity and focuses on tackling this issue for a discrete choice model analyzing the multimodal London–Amsterdam route, where air transport and high-speed rail (HSR) compete. Contrary to previous literature, we found no evidence of endogeneity in service frequency for the London–Amsterdam market. This could be attributed to market-specific features, such as feeding considerations, slot retention dynamics, and the congestion of the HSR network, which constrains capacity expansion opportunities. Conversely, we observed that fare introduced endogeneity into the model. To address this issue, we applied the control function approach and proposed two novel instruments: the fare for similar markets and the price of power sources. These instruments proved to be effective in correcting for endogeneity by increasing model performance. We also discuss the adverse impact of neglecting endogeneity and estimate price and frequency elasticities, ultimately demonstrating the significance of dealing with endogeneity in ensuring the reliability of results in transportation studies and appropriately informing policy decisions.</div></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"54 ","pages":"Article 100537"},"PeriodicalIF":2.8,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146320","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}
Mirosława Łukawska, Anders Fjendbo Jensen, Filipe Rodrigues
{"title":"Context-aware Bayesian mixed multinomial logit model","authors":"Mirosława Łukawska, Anders Fjendbo Jensen, Filipe Rodrigues","doi":"10.1016/j.jocm.2024.100536","DOIUrl":"10.1016/j.jocm.2024.100536","url":null,"abstract":"<div><div>Traditional choice models often entail the assumption that the preference parameters of the decision-maker are constant throughout time and across different choice situations, which may be too strong for certain choice modelling applications. This paper proposes an effective approach to model systematic, context-dependent heterogeneity, thereby introducing the concept of the context-aware Bayesian mixed multinomial logit model (C-MMNL). In this model, a neural network maps contextual information to interpretable shifts in the preference parameters of each individual in each choice occasion. The proposed model offers several key advantages. First, it supports both continuous and discrete variables, as well as complex non-linear interactions between both types of variables. Secondly, each context specification is considered jointly as a whole by the neural network, rather than each variable being considered independently. Finally, since the neural network parameters are shared across all decision-makers, it can leverage information from other decision-makers to infer the effect of a particular context on a particular decision-maker. Even though the context-aware Bayesian mixed multinomial logit model allows for flexible interactions between attributes, the increase in computational complexity is minor, compared to the mixed multinomial logit model. We illustrate the concept and interpretation of the proposed model in a simulation study. We furthermore present a real-world case study from the travel behaviour domain — a bicycle route choice model, based on a large-scale, crowdsourced dataset of GPS trajectories including 119,448 trips made by 8555 cyclists.</div></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"54 ","pages":"Article 100536"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146713","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}
{"title":"New misspecification tests for multinomial logit models","authors":"Dennis Fok, Richard Paap","doi":"10.1016/j.jocm.2024.100531","DOIUrl":"10.1016/j.jocm.2024.100531","url":null,"abstract":"<div><div>Multinomial Logit [MNL] models are misspecified when the Independence of Irrelevant Assumption [IIA] does not hold. In this paper we compare existing tests for IIA with two newly proposed tests. Both new tests use that, when MNL is the true model, preferences across pairs of alternatives can be described by independent binary logit models. The first test compares Composite Likelihood parameter estimates based on pairs of alternatives with standard Maximum Likelihood estimates using a Hausman (1978) test. The second is a test for overidentification in a GMM framework using more pairs than necessary. A detailed Monte Carlo study shows that the GMM test is in general superior with respect to the performance under the null and under the alternative hypothesis. An empirical illustration demonstrates the practical usefulness of the tests.</div></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"54 ","pages":"Article 100531"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146674","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}
{"title":"Location choice of residential housing supply: An application of the multiple discrete-continuous extreme value (MDCEV) model","authors":"Yu Zhang, Eric J. Miller","doi":"10.1016/j.jocm.2024.100535","DOIUrl":"10.1016/j.jocm.2024.100535","url":null,"abstract":"<div><div>The supply location of residential housing is the result of multiple, simultaneous decisions by housing developers. This choice situation can be characterized by the discretionary choice of locations for the housing projects and the amount of housing units to be built at the given locations. Within this context, the modelling of residential housing supply locations, or the allocation of predicted housing supply over space, is a discrete-continuous process. In this paper, we apply a multiple discrete continuous extreme value (MDCEV) model to simultaneously model the location choice and amount of housing supply. The empirical study is conducted in the city of Toronto with a pooled model, and four separated models for each structure type. The prediction results indicate reasonable fits. The developed model can be used to generate housing supply at a given period over space in an urban microsimulation system and serves as a valuable tool for policymakers, urban planners, and researchers in the field of housing supply and urban systems.</div></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"54 ","pages":"Article 100535"},"PeriodicalIF":2.8,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146672","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}
Yaoming Liang , Ruiqi Chen , Senbin Zhang , Hongfu Liu , Li Han
{"title":"Social finance in emerging markets: Insights into Chinese individual investor preferences with broader implications","authors":"Yaoming Liang , Ruiqi Chen , Senbin Zhang , Hongfu Liu , Li Han","doi":"10.1016/j.jocm.2024.100534","DOIUrl":"10.1016/j.jocm.2024.100534","url":null,"abstract":"<div><div>Social finance, which integrates social impact with financial returns, is increasingly recognized as a catalyst for sustainable socio-economic development. This study presents an empirical analysis of Chinese individual investors' preferences for social finance products, using a customized choice experiment. The results reveal a strong investor preference for products with high annualized returns, short investment tenures, a focus on the healthcare sector, government backing, and flexible redemption options. By applying latent class analysis, we identify three distinct investor segments: Flexible Savers, Holistic Benefit Assessors, and Economic Return Seekers. The study also examines how demographic characteristics such as age, education, income, risk tolerance, philanthropic involvement, and awareness of social finance are associated with distinct investor segments. The findings suggest that future efforts should focus on designing social finance products that align with the diverse needs of these investor segments, thereby enhancing the appeal and effectiveness of social finance initiatives. Such tailored strategies could play a pivotal role in mobilizing private capital for social finance, maximizing its potential to drive sustainable socio-economic progress in emerging markets.</div></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"54 ","pages":"Article 100534"},"PeriodicalIF":2.8,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146673","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":"Latent class choice models with an error structure: Investigating potential unobserved associations between latent segmentation and behavior generation","authors":"Sung Hoo Kim , Patricia L. Mokhtarian","doi":"10.1016/j.jocm.2024.100519","DOIUrl":"10.1016/j.jocm.2024.100519","url":null,"abstract":"<div><div>Latent class choice modeling has gained great popularity in the transportation and choice modeling communities across the years. However, discussion of principles associated with the specification of the class membership model has barely appeared in the literature. Related to this issue, this study questions whether one of the basic assumptions of latent class choice modeling, that of independence between latent segmentation and the behavior generation process, is tenable. We formulate latent class choice models where the unobserved influences on latent segmentation and behavior generation are correlated, by introducing an error structure reflecting that supposition. The proposed method is applied to two empirical settings. In the first application, the dependent variable is an ordinal variable measuring willingness to share autonomous vehicle rides with strangers. In the second application, the dependent variable is a binary indicator of whether a person has used ridehailing services for social purposes. In both applications, error correlations were statistically significant, indicating that the segmentation and behavior generation processes are jointly determined. Although goodness of fits and parameter estimates per se are similar to those of the standard latent class choice models for these particular applications, allowing an error structure leads to a subtle change in model implications. In particular, our scenario analyses, which present marginal effects, illustrate the value of the proposed model for considering jointness arising from correlated errors, in contrast to standard latent class models. Lastly, we propose several avenues for future research.</div></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"53 ","pages":"Article 100519"},"PeriodicalIF":2.8,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142722159","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}
Ruth Quainoo , Gregory Howard , Vasundhara Gaur , Corey Lang
{"title":"Model choice and framing effects: Do discrete choice modeling decisions affect loss aversion estimates?","authors":"Ruth Quainoo , Gregory Howard , Vasundhara Gaur , Corey Lang","doi":"10.1016/j.jocm.2024.100524","DOIUrl":"10.1016/j.jocm.2024.100524","url":null,"abstract":"<div><div>This paper examines whether the presence and magnitude of estimated loss aversion (LA) in a discrete choice experiment is a function of modeling choice. The experiment examined preferences for utility-scale solar energy siting based on a series of installation attributes and changes in household electric bill (the payment vehicle, which can increase or decrease relative to the status-quo). We employ multiple discrete choice modeling approaches and show that, across all models, the implications of accounting for loss aversion are qualitatively similar and match theoretical predictions. Despite this similarity, when comparing results across models we find that model choice has substantial impacts on estimated loss aversion. Specifically, different models estimate loss/gain ratios below two and in excess of six for the same data set. Thus, the consequences of framing decisions, which are an important aspect of nonmarket valuation, are not just the provenance of survey and choice experiment design but may also be heavily influenced by empirical model choice.</div></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"53 ","pages":"Article 100524"},"PeriodicalIF":2.8,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698677","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}
Louis de Grange , Felipe González , Matthieu Marechal , Rodrigo Troncoso
{"title":"A consistent moment equations for binary probit models with endogenous variables using instrumental variables","authors":"Louis de Grange , Felipe González , Matthieu Marechal , Rodrigo Troncoso","doi":"10.1016/j.jocm.2024.100523","DOIUrl":"10.1016/j.jocm.2024.100523","url":null,"abstract":"<div><div>A methodology is developed for obtaining consistent moment estimators of the parameters in probit models that include both exogenous and endogenous variables. The approach is based on the use of instrumental variables in the formulation of moment conditions in order to solve a system of equations from which the consistent estimators are derived. The moment conditions also enable the correlations between the endogenous variables and the error terms to be estimated. Comparisons with uncorrected maximum likelihood and Heckman's classic two-stage method using simulated data demonstrate that the proposed method generates consistent estimators with relatively smaller mean square errors. We also apply our method to a real data case, confirming the good estimation properties of our new approach.</div></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"53 ","pages":"Article 100523"},"PeriodicalIF":2.8,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698678","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":"Transformation-based flexible error structures for choice modeling","authors":"Chandra R. Bhat","doi":"10.1016/j.jocm.2024.100522","DOIUrl":"10.1016/j.jocm.2024.100522","url":null,"abstract":"<div><div>In this paper, we propose a reverse Yeo-Johnson (YJ) transformation to accommodate flexible skewed and fat-tailed specifications of stochastic terms in multivariate choice models. Essentially, we specify a YJ transformation of the univariate error terms to a univariate symmetric distribution, and then tie the resulting transformed univariate symmetric terms into a convenient symmetric multivariate distribution. In this paper, we use a normal distribution for the transformed univariate symmetric terms and bring these together using a multivariate normal distribution. In this way, the original non-normal error terms become reverse YJ-transformed. The use of such a flexible parametric distribution lends additional robustness to the maximum likelihood (ML) estimator. The proposed approach can be applied to a number of different univariate and multivariate mixed modeling choice structures. In a demonstration application, in the current paper, the proposed model is applied to investigate the effect of urban living on walking frequency, considering the choice of urban living as being endogenous to walking frequency.</div></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"53 ","pages":"Article 100522"},"PeriodicalIF":2.8,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540135","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}