Application of a Mixed Logit Model with Explicitly Correlated Coefficients for Best‒Worst Scaling Case 1 Data: A Case Study of Preferences for Job Opportunities in Rural Indonesia

Application of a Mixed Logit Model with Explicitly Correlated Coefficients for Best‒Worst Scaling Case 1 Data: A Case Study of Preferences for Job Opportunities in Rural Indonesia | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Application of a Mixed Logit Model with Explicitly Correlated Coefficients for Best‒Worst Scaling Case 1 Data: A Case Study of Preferences for Job Opportunities in Rural Indonesia Satoru Komatsu, Taro Ohdoko, Yayu Isyana D. Pongoliu, Masayuki Sakakibara This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5897268/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Best‒worst scaling (BWS), which is housed under the category of stated preference methods, elicits respondents to select their top choice and their least favorite choice from choice sets. Mixed logit models have been frequently applied for estimating preferences. This study starts with a discussion of the estimation procedures of BWS and shows the necessity of applying a mixed logit model with correlated parameters to account for taste correlation and scale heterogeneity. As a case study, this study investigates latent preferences for new job opportunities in Indonesia, where the release of mercury (Hg) and its components into the atmosphere has had serious impacts on human health. The estimation results indicate that the most highly valued attribute for job opportunities is the provision of employment opportunities for society, followed by the frequency of salary payments and improvements in the environmental quality of the region. The estimation results also reveal that there is a significant degree of preference uncertainty in the choice of options in the middle-evaluated options. The research emphasizes that careful explanations are required to determine whether the choice sets provide reasonable policy menus for respondents or whether the middle-ranked attributes can be guided by the presence of other attributes. Environmental Economics Psychology Full Text Additional Declarations The authors declare no competing interests. Let me declare that we received written permission from all participants to participate in the survey and that the answers are used only for research purposes. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5897268","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":409691353,"identity":"56e350e1-3ca8-44a3-9f4b-c3fbc93b575d","order_by":0,"name":"Satoru Komatsu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9UlEQVRIiWNgGAWjYBADAyhtA8SMjQfwK2aGa2FsYGBIA9MkaTkM5uHVIt9+/uDjyjYGY36xw88f/mw7b7e2/TDQlhqbaJx+OJPMbHi2jcFMcnaaYTNv2+3kbWcSgVqOpeU24NLCkMwm2djGYGNwO8GwmRGoxewAUAtjw2GcWuT7H8O0pH9s/Nl2Ltns/EP8WhhuQGwxM7idY9jA23bAzuwGAVsMbjw2Nmw4J2EsOTuncDbPueQEsxtAWxLw+EW+P/Hhw4YyG8N+6fQNH3+U2dmbnU9/+OBDjQ1uh0GABJyVCFaZgF85KrAnRfEoGAWjYBSMDAAAAZxhPBFfqzEAAAAASUVORK5CYII=","orcid":"","institution":"Nagasaki University","correspondingAuthor":true,"prefix":"","firstName":"Satoru","middleName":"","lastName":"Komatsu","suffix":""},{"id":409691354,"identity":"a9b050e3-8f59-47e8-96fb-b14becdb2f70","order_by":1,"name":"Taro Ohdoko","email":"","orcid":"","institution":"Dokkyo University","correspondingAuthor":false,"prefix":"","firstName":"Taro","middleName":"","lastName":"Ohdoko","suffix":""},{"id":409691355,"identity":"cd26c4a5-bcc0-4f76-b49a-d63313bb9840","order_by":2,"name":"Yayu Isyana D. 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