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      The Consequences of High Cigarette Excise Taxes for Low-Income Smokers

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      PLoS ONE
      Public Library of Science

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          Abstract

          Background

          To illustrate the burden of high cigarette excise taxes on low-income smokers.

          Methodology/Principal Findings

          Using data from the New York and national Adult Tobacco Surveys from 2010–2011, we estimated how smoking prevalence, daily cigarette consumption, and share of annual income spent on cigarettes vary by annual income (less than $30,000; $30,000–$59,999; and more than $60,000). The 2010–2011 sample includes 7,536 adults and 1,294 smokers from New York and 3,777 adults and 748 smokers nationally. Overall, smoking prevalence is lower in New York (16.1%) than nationally (22.2%) and is strongly associated with income in New York and nationally ( P<.001). Smoking prevalence ranges from 12.2% to 33.7% nationally and from 10.1% to 24.3% from the highest to lowest income group. In 2010–2011, the lowest income group spent 23.6% of annual household income on cigarettes in New York (up from 11.6% in 2003–2004) and 14.2% nationally. Daily cigarette consumption is not related to income.

          Conclusions/Significance

          Although high cigarette taxes are an effective method for reducing cigarette smoking, they can impose a significant financial burden on low-income smokers.

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          Most cited references13

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          Working Class Matters: Socioeconomic Disadvantage, Race/Ethnicity, Gender, and Smoking in NHIS 2000

          American Journal of Public Health, 94(2), 269-278
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            Widening socioeconomic inequalities in US life expectancy, 1980-2000.

            This study examines changes in the extent of inequalities in life expectancy at birth and other ages in the United States between 1980 and 2000 by gender and socioeconomic deprivation levels. A factor-based deprivation index consisting of 11 education, occupation, wealth, income distribution, unemployment, poverty, and housing quality indicators was used to define deprivation deciles, which were then linked to the US mortality data at the county-level. Life expectancy estimates were developed by age, gender, and deprivation levels for three 3 year time periods: 1980-82, 1989-91, and 1998-2000. Inequalities in life expectancy were measured by the absolute difference between the least-deprived group and each of the other deprivation deciles. Slope indices of inequality for each gender and time period were calculated by regressing life expectancy estimates on deprivation levels using weighted least squares models. Those in less-deprived groups experienced a longer life expectancy at each age than their counterparts in more-deprived groups. In 1980-82, the overall life expectancy at birth was 2.8 years longer for the least-deprived group than for the most-deprived group (75.8 vs 73.0 years). By 1998-2000, the absolute difference in life expectancy at birth had increased to 4.5 years (79.2 vs 74.7 years). The inequality indices also showed a substantial widening of the deprivation gradient in life expectancy during the study period for both males and females. Between 1980 and 2000, those in higher socioeconomic groups experienced larger gains in life expectancy than those in more-deprived groups, contributing to the widening gap.
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              Cigarette demand: a meta-analysis of elasticities.

              Estimating elasticities of cigarette demand has become commonplace amongst economists and policymakers. Synthesizing the various elasticities into a coherent message is quite challenging, however, as the point estimates are obtained using quite disparate modeling techniques and data. In this study, we perform a meta-analysis to explore factors that influence variations within and across studies. Empirical results suggest that demand specification, data issues, and estimation methodology have varying degrees of influence on reported estimates of price, income, and advertising elasticities. Copyright 2002 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                12 September 2012
                : 7
                : 9
                : e43838
                Affiliations
                [1]Research Triangle Institute (RTI) International, Research Triangle Park, North Carolina, United States of America
                The University of Auckland, New Zealand
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Analyzed the data: KAW. Wrote the paper: MCF JMN KAW.

                Article
                PONE-D-12-14861
                10.1371/journal.pone.0043838
                3440380
                22984447
                5f834f33-0f2e-4923-a572-cbb7aebdd9b9
                Copyright @ 2012

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 23 May 2012
                : 30 July 2012
                Page count
                Pages: 7
                Funding
                Funding for the research was provided by the New York State Department of Health, http://www.health.ny.gov/. The funders had no role in the study design, data collection and analysis.
                Categories
                Research Article
                Medicine
                Non-Clinical Medicine
                Socioeconomic Aspects of Health
                Public Health
                Socioeconomic Aspects of Health
                Tobacco Control
                Pulmonology
                Smoking Related Disorders
                Social and Behavioral Sciences
                Economics
                Public Finance
                Government Spending and Taxation
                Tax Incidence
                Health Economics

                Uncategorized
                Uncategorized

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