The Empirical Impact on Day by Day Smoking of Workplace Bans

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Abstract

Abstract This paper addresses the effectiveness of workplace bans in reducing smoking, and how that reduction is distributed over the full seven-day week. Some empirical evidence supports the substitution of smoking from the workplace to the home or the weekend in the presence of workplace bans. But the evidence is not uniform. Whether smoking at home before and after work, or at the weekend, increases or decreases depends on the smoker’s aversion to within- or between-day consumption variance. We estimate the effects using the Canadian Tobacco Use Monitoring Surveys (CTUMS). Both full and partial bans are found to reduce consumption significantly in all seven days of a week. We use a variety of tests to address self-selection into the smoking environment and find that our results are robust. The distinction between full and partial bans may provide an explanation for the wide range of existing estimates for the numerical impact of bans. JEL classifications: I12, I18.
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The Empirical Impact on Day by Day Smoking of Workplace Bans | 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 The Empirical Impact on Day by Day Smoking of Workplace Bans Charles de Bartolome, Ian Irvine, Hai Nguyen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9452353/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 This paper addresses the effectiveness of workplace bans in reducing smoking, and how that reduction is distributed over the full seven-day week. Some empirical evidence supports the substitution of smoking from the workplace to the home or the weekend in the presence of workplace bans. But the evidence is not uniform. Whether smoking at home before and after work, or at the weekend, increases or decreases depends on the smoker’s aversion to within- or between-day consumption variance. We estimate the effects using the Canadian Tobacco Use Monitoring Surveys (CTUMS). Both full and partial bans are found to reduce consumption significantly in all seven days of a week. We use a variety of tests to address self-selection into the smoking environment and find that our results are robust. The distinction between full and partial bans may provide an explanation for the wide range of existing estimates for the numerical impact of bans. JEL classifications: I12, I18. Smoking bans addiction shift of smoking variance aversion Full Text Additional Declarations No competing interests reported. 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. 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