2019
DOI: 10.3386/w25936
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Losing Insurance and Psychiatric Hospitalizations

Abstract: Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Founda… Show more

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Cited by 7 publications
(7 citation statements)
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“…Finally, we note that our data sources are not representative at the level of treatment for all traditional cigarette tax changes and ecigarette tax adoptions that occurred during our study period. For example, some of the policy changes we leverage occurred at the sub-state level (city or county) and our data sources are not representative at that level, which can lead to empirical issues (Maclean, Tello-Trillo, and Webber 2019). We believe that our ability to combine two large data sources may mitigate this issue, but acknowledge that ideally we would have access to data that is representative at the level of treatment for all included localities.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Finally, we note that our data sources are not representative at the level of treatment for all traditional cigarette tax changes and ecigarette tax adoptions that occurred during our study period. For example, some of the policy changes we leverage occurred at the sub-state level (city or county) and our data sources are not representative at that level, which can lead to empirical issues (Maclean, Tello-Trillo, and Webber 2019). We believe that our ability to combine two large data sources may mitigate this issue, but acknowledge that ideally we would have access to data that is representative at the level of treatment for all included localities.…”
Section: Discussionmentioning
confidence: 99%
“…We combine these two data sources to maximize data on e-cigarette use, which have only recently been added to national surveys. We note that combing data sets in this manner is not uncommon within economics (Maclean, Tello-Trillo, and Webber 2019, Webber 2016, Farber et al 2018, Altonji, Kahn, and Speer 2016, Miller 2012. The BRFSS surveys over 400,000 adults annually and the NHIS surveys approximately 33,000 adults annually as part of its adult sample, which is the module in which e-cigarette information is queried.…”
Section: Datamentioning
confidence: 99%
“…They also find a 75% increase in uninsured hospitalizations originating from the ED. Maclean et al (2019) study the effects of the TennCare disenrollment on mental health hospitalizations; they do not find evidence of changes in the number of mental health related hospitalizations but do find evidence of a slight decrease in substance-use related hospitalizations. There are other papers that studied the TennCare disenrollment that focus on labor market outcomes (Garthwaite et al, 2014) and financial health (Argys et al, 2020).…”
Section: Literature Reviewmentioning
confidence: 95%
“…This paper belongs to an emerging literature on studying disenrollments globally (Mestres et al, 2018) and locally (Halliday et al, 2019). Studies of the TennCare disenrollment have focused on employment (DeLeire, 2019;Garthwaite et al, 2014), financial outcomes (Argys et al, 2020;Garthwaite et al, 2018), health-care access (DeLeire, 2019;Tarazi et al, 2017), mental health (Maclean et al, 2019), and hospitalizations (Ghosh & Simon, 2015). This paper is the first to use the National Health Interview Survey (NHIS) and to look at outcomes of preventative care, self-reported health and ED utilization.…”
Section: Introductionmentioning
confidence: 99%
“… A potential concern is that small state‐level cell sizes could lead to biased estimates (Maclean, Tello‐Trillo, and Webber 2019). Average cell sizes for most outcomes are >50 and are consistently large for substance use outcomes.…”
mentioning
confidence: 99%