The health effects of smoking bans: Evidence from <scp>G</scp>erman hospitalization data

Kvasnicka, Michael; Siedler, Thomas; Ziebarth, Nicolas R.

doi:10.1002/hec.3798

Cited by 20 publications

(12 citation statements)

References 62 publications

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“…The authors note that while their findings are robust to a number of reasonable perturbations, they are smaller than published case studies documenting the experiences of particular communities. Kvasnicka, Siedler and Ziebarth (2018) find reductions in cardiovascular-related hospital admissions, as well as asthma-related hospital admissions, following the rollout of smoking bans in sixteen German federal states over a period of eighteen months using the universe of hospital admissions data from 2000-2008. These authors note that their estimated reductions are driven by changes in warm-weather admissions, which is aligned with periods of greater smoking prevalence and ambient air pollution.…”

Section: The Effect Of Place-based Smoking Bans On Health Outcomesmentioning

confidence: 99%

The Economics of Tobacco Regulation: A Comprehensive Review

DeCicca

Kenkel

Lovenheim

2020

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We gratefully acknowledge funding for this research from the National Institutes of Health, grant number 1R01DA042064-01A1. We thank Anne Burton and Hua Wang for excellent research assistance, and William Kenkel for advice about the neurology of nicotine addiction. Researchers' own analyses calculated (or derived) based in part on data from The Nielsen Company (US), LLC and marketing databases provided through the Nielsen Datasets at the Kilts Center for Marketing Data Center at The University of Chicago Booth School of Business. The conclusions drawn from the Nielsen data are those of the researchers and do not reflect the views of Nielsen. Nielsen is not responsible for, had no role in, and was not involved in analyzing and preparing the results reported herein. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. At least one co-author has disclosed a financial relationship of potential relevance for this research. Further information is available online at http://www.nber.org/papers/w26923.ack NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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Section: The Effect Of Place-based Smoking Bans On Health Outcomesmentioning

confidence: 99%

The Economics of Tobacco Regulation: A Comprehensive Review

DeCicca

Kenkel

Lovenheim

2020

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“…Consider a standard model of compensating differentials. Let p be the job risk that the worker 9 Smokers' poorer health status has been widely documented (Kvasnicka, Siedler, & Ziebarth, 2018 Smoking and Health, 2014;West, 2017). 10 Discrimination due to smoking policies is referred to as "nonsmokers only" employment policies.…”

Section: A Wage Differential Model With Risk Aversionmentioning

confidence: 99%

“…Smokers' poorer health status has been widely documented (Kvasnicka, Siedler, & Ziebarth, ; U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, & Office on Smoking and Health, ; West, ).…”

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confidence: 99%

The Value of a Statistical Life for Risk‐Averse and Risk‐Seeking Individuals

Parada‐Contzen¹

2019

Risk Analysis

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This article estimates the value of a statistical life (VSL) for Chile under the hedonic wage method while accounting for individual risk preferences. Two alternative measures of risk aversion are used. First, risk aversion is directly measured using survey measures of preferences over hypothetical gambles, and second, over observed individual behaviors that may proxy for risk preferences, such as smoking status, are used. I reconcile the results with a theoretical model of economic behavior that predicts how the wage‐risk tradeoff changes as risk aversion differs across individuals. The VSL estimates range between 0.61 and 8.68 million dollars. The results using smoking behavior as a proxy for risk attitudes are consistent with previous findings. However, directly measuring risk aversion corrects the wage‐risk tradeoff estimation bias in the opposite direction. The results are robust to other observed measures of risk aversion such as drinking behavior and stock investments. Results suggest that, consistent with the literature that connects smoking behavior with labor market outcomes, smoking status could be capturing poor health productivity effect in addition to purely risk preferences.

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“…See for instanceEisner et al 1998, Goodman et al 2007, Seo and Torabi 2007, Cesaroni et al 2008, Meyers et al 2009, Shetty et al 2011, and Kvasnicka et al 2018 The primary site of ETS exposure for U.S. children is the home from parents or other adults smoking(Klepeis et al 2001;Yousey 2006), and another common site of exposure is restaurants(Siegel et al 2005). Due to their inability to choose their environment, children in general are also exposed to more ETS than non-smoking adults (USDHHS 2007).…”

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confidence: 99%

Impact of Comprehensive Smoking Bans on the Health of Infants and Children

McGeary¹,

Dave²,

Lipton³

et al. 2020

American Journal of Health Economics

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As evidence of the negative effects of environmental tobacco smoke (ETS) has mounted, an increasingly popular public policy response has been to impose restrictions on smoking through 100% smoke-free bans (comprehensive smoking bans). Yet sparse information exists regarding the impact these smoking bans at the state and local levels have on the health of children and infants. A rationale for expansion of smoke-free laws implicitly presumes that potential public health gains from reducing adult cigarette consumption and declines in adult ETS exposure extend to children. However, if smokers compensate by shifting their consumption of cigarettes from public venues that impose a comprehensive smoking ban to smoking at home, then these policies may have a harmful effect on children and infants. This study provides estimates of how comprehensive smoking bans impact the venue of smoking, and the health of children and infants. Using models that exploit state-and county-level changes to smoking ban legislation over time, estimates suggest that smoking bans have improved the health of both infants and children, mainly through implementation of more comprehensive bans. Further, we find no evidence of displacement among smokers (both smokers with and without children in the household), and actually find that the bans had a positive spillover effect in terms of reducing smoking inside the home-an effect which may further explain the improvement in infant and children's health. Our effect magnitudes imply that expanding comprehensive coverage from 60% (current level) to 100% of the population can prevent between approximately 1,110-1,750 low birthweight births among low-educated mothers, resulting in economic cost savings of about $71-$111 million annually. Health improvements among older children add to these economic benefits.

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The health effects of smoking bans: Evidence from German hospitalization data

Cited by 20 publications

References 62 publications

The Economics of Tobacco Regulation: A Comprehensive Review

The Economics of Tobacco Regulation: A Comprehensive Review

The Value of a Statistical Life for Risk‐Averse and Risk‐Seeking Individuals

Impact of Comprehensive Smoking Bans on the Health of Infants and Children

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