2024
Occupational differences in the effects of retirement on hospitalizations for mental illness among female workers: Evidence from administrative data in China
Wang T, Sun R, Sindelar J, Chen X. Occupational differences in the effects of retirement on hospitalizations for mental illness among female workers: Evidence from administrative data in China. Economics & Human Biology 2024, 53: 101367. PMID: 38340649, PMCID: PMC11060846, DOI: 10.1016/j.ehb.2024.101367.Peer-Reviewed Original ResearchStatutory retirement ageRegression discontinuity designEffect of retirementFemale workersOccupational differencesFuzzy regression discontinuity designHealth care utilizationMental illnessRegression discontinuity design estimatorCare utilizationWhite-collarLife courseRetirement decisionsCategories of schizophreniaRetirement ageDiscontinuity designBlue-collarWorsening mental healthPolicy schemesUrban employeesAdministrative dataRetirementInpatient claims dataDelusional disorderPent-up demand
2023
Responses to Real-World and Hypothetical Menthol Flavor Bans Among US Young Adults Who Smoke Menthol Cigarettes
Tam J, Jimenez-Mendoza E, Buckell J, Sindelar J, Meza R. Responses to Real-World and Hypothetical Menthol Flavor Bans Among US Young Adults Who Smoke Menthol Cigarettes. Nicotine & Tobacco Research 2023, 26: 785-789. PMID: 38147008, PMCID: PMC11109486, DOI: 10.1093/ntr/ntad259.Peer-Reviewed Original ResearchMenthol cigarette banMenthol cigarettesE-cigarettesYoung adultsCigarette banPublic health benefitsYoung adults ages 18Adults ages 18Most respondentsTobacco use behaviorsUS young adultsMenthol banTobacco useCigarette availabilitySmokingDual useAge 18CigarettesCombustible tobaccoHealth benefitsFederal banAdultsFlavour banTobaccoUse behaviorsResponses to Real-World and Hypothetical E-Cigarette Flavor Bans Among US Young Adults Who Use Flavored E-Cigarettes
Tam J, Jimenez-Mendoza E, Buckell J, Sindelar J, Meza R. Responses to Real-World and Hypothetical E-Cigarette Flavor Bans Among US Young Adults Who Use Flavored E-Cigarettes. Nicotine & Tobacco Research 2023, 26: 1113-1117. PMID: 38141252, PMCID: PMC11260892, DOI: 10.1093/ntr/ntad258.Peer-Reviewed Original ResearchE-cigarette availabilityE-cigarettesYoung adultsFlavor restrictionsFlavour banCombustible tobaccoForms of tobaccoYoung adults ages 18Adults ages 18National surveyTobacco use behaviorsFlavored e-cigarettesPublic health consequencesUS young adultsHalf of respondentsCigarette useUnaffected participantsDual useAge 18Health consequencesFirst national surveyTobacco productsHealth harmsNegative public health consequencesFederal ban
2019
Tobacco‐21 laws and young adult smoking: quasi‐experimental evidence
Friedman AS, Buckell J, Sindelar JL. Tobacco‐21 laws and young adult smoking: quasi‐experimental evidence. Addiction 2019, 114: 1816-1823. PMID: 31342591, PMCID: PMC7233410, DOI: 10.1111/add.14653.Peer-Reviewed Original ResearchThe impact of flavors, health risks, secondhand smoke and prices on young adults’ cigarette and e‐cigarette choices: a discrete choice experiment
Buckell J, Sindelar JL. The impact of flavors, health risks, secondhand smoke and prices on young adults’ cigarette and e‐cigarette choices: a discrete choice experiment. Addiction 2019, 114: 1427-1435. PMID: 30866132, PMCID: PMC6639008, DOI: 10.1111/add.14610.Peer-Reviewed Original ResearchConceptsE-cigarettesHealth harmsYoung adultsSmoking groupNational Health Interview SurveySecondhand smoke risksHealth Interview SurveyShort-term health risksHealth risksSecondhand smokeSmoking typesYoung adults' preferencesDiscrete choice experimentCigarettesInterview SurveySmoke risksAdultsOnline discrete choice experimentCensus regionRiskCigarette pricesImpact of flavourCandy flavorsGroupHealthPatterns of Youth Cigarette Experimentation and Onset of Habitual Smoking
Friedman AS, Buckell J, Sindelar JL. Patterns of Youth Cigarette Experimentation and Onset of Habitual Smoking. American Journal Of Preventive Medicine 2019, 56: 803-810. PMID: 31005466, PMCID: PMC6594175, DOI: 10.1016/j.amepre.2019.02.009.Peer-Reviewed Original Research
2018
TO “VAPE” OR SMOKE? EXPERIMENTAL EVIDENCE ON ADULT SMOKERS
Marti J, Buckell J, Maclean JC, Sindelar J. TO “VAPE” OR SMOKE? EXPERIMENTAL EVIDENCE ON ADULT SMOKERS. Economic Inquiry 2018, 57: 705-725. PMID: 30559550, PMCID: PMC6294299, DOI: 10.1111/ecin.12693.Peer-Reviewed Original ResearchShould flavours be banned in cigarettes and e-cigarettes? Evidence on adult smokers and recent quitters from a discrete choice experiment
Buckell J, Marti J, Sindelar JL. Should flavours be banned in cigarettes and e-cigarettes? Evidence on adult smokers and recent quitters from a discrete choice experiment. Tobacco Control 2018, 28: 168-175. PMID: 29807947, PMCID: PMC6261708, DOI: 10.1136/tobaccocontrol-2017-054165.Peer-Reviewed Original ResearchDiscrete choice experimentChoice of cigarettesChoice experimentSubstantial preference heterogeneityPolicy-relevant estimatesLogit choice modelPreference heterogeneityChoice modelChoice setsFlavour banFlavoured e-cigarettesMenthol cigarettesPreferencesChoiceStatus quoBanHigher educationPricesHealth impactsImpactTobacco productsDemandPotential health impactsQuoHarmful waysImmigration and Access to Fringe Benefits: Evidence from the Tobacco Use Supplements
Maclean J, Webber D, Sindelar J. Immigration and Access to Fringe Benefits: Evidence from the Tobacco Use Supplements. Industrial Relations A Journal Of Economy And Society 2018, 57: 235-259. DOI: 10.1111/irel.12205.Peer-Reviewed Original ResearchWhat factors predict the passage of state‐level e‐cigarette regulations?
Maclean JC, Oney M, Marti J, Sindelar J. What factors predict the passage of state‐level e‐cigarette regulations? Health Economics 2018, 27: 897-907. PMID: 29468781, PMCID: PMC5882548, DOI: 10.1002/hec.3642.Peer-Reviewed Original Research
2016
Exploring Explanations for the Female-Male Earnings Difference Among Registered Nurses in the United States.
Muench U, Busch SH, Sindelar J, Buerhaus PI. Exploring Explanations for the Female-Male Earnings Difference Among Registered Nurses in the United States. Nursing Economics 2016, 34: 214-23. PMID: 29975036.Peer-Reviewed Original Research
2015
Smaller Cigarette Pack as a Commitment to Smoke Less? Insights from Behavioral Economics
Marti J, Sindelar J. Smaller Cigarette Pack as a Commitment to Smoke Less? Insights from Behavioral Economics. PLOS ONE 2015, 10: e0137520. PMID: 26356844, PMCID: PMC4565702, DOI: 10.1371/journal.pone.0137520.Peer-Reviewed Original ResearchSalary Differences Between Male and Female Registered Nurses in the United States
Muench U, Sindelar J, Busch SH, Buerhaus PI. Salary Differences Between Male and Female Registered Nurses in the United States. JAMA 2015, 313: 1265-1267. PMID: 25803350, DOI: 10.1001/jama.2015.1487.Peer-Reviewed Original Research
2014
An evaluation of the FDA's analysis of the costs and benefits of the graphic warning label regulation
Chaloupka FJ, Warner KE, Acemoğlu D, Gruber J, Laux F, Max W, Newhouse J, Schelling T, Sindelar J. An evaluation of the FDA's analysis of the costs and benefits of the graphic warning label regulation. Tobacco Control 2014, 24: 112. PMID: 25550419, PMCID: PMC4345832, DOI: 10.1136/tobaccocontrol-2014-052022.Peer-Reviewed Original ResearchConceptsEconomic impact analysisSound economic analysisNet economic benefitsImpact analysisProminent economistsSignificant regulatory actionsEconomic analysisDrug Administration's regulatory authorityNet benefitEconomic benefitsTobacco productsGraphic warning labelsRegulatory authoritiesLabel regulationsCostTobacco product regulationRegulatory actionProduct regulationEconomistsAuthoritiesBenefitsFuture analysesRulesControl ActJurisdictions
2013
Financial versus health motivation to quit smoking: A randomized field study
Sindelar JL, O'Malley SS. Financial versus health motivation to quit smoking: A randomized field study. Preventive Medicine 2013, 59: 1-4. PMID: 24139975, PMCID: PMC4869074, DOI: 10.1016/j.ypmed.2013.10.008.Peer-Reviewed Original ResearchIs research in substance abuse undervalued?
Sindelar JL, Strombotne KL. Is research in substance abuse undervalued? Addiction 2013, 109: 3-4. PMID: 24118168, DOI: 10.1111/add.12334.Peer-Reviewed Original ResearchRewarding Healthy Food Choices in SNAP: Behavioral Economic Applications
RICHARDS MR, SINDELAR JL. Rewarding Healthy Food Choices in SNAP: Behavioral Economic Applications. Milbank Quarterly 2013, 91: 395-412. PMID: 23758515, PMCID: PMC3696202, DOI: 10.1111/milq.12017.Peer-Reviewed Original ResearchConceptsSupplemental Nutrition Assistance ProgramBehavioural economics applicationsSNAP benefitsBehavioral economic insightsLow-income individualsEffective policy responsesNutrition Assistance ProgramSNAP fundsBehavioral economicsEconomic insightsAlternative policiesPolicy responsesEconomic applicationsLow-income populationsAdditional incentivesBehavioral impedimentsHealthy food purchasesAdministrative capacitySNAP recipientsAssistance programsFood purchasesHealthy purchasesShopping patternsNew delivery optionsPurchase
2012
Smaller cigarette pack size as a self-control device
Sindelar J. Smaller cigarette pack size as a self-control device. Journal Of Substance Use And Addiction Treatment 2012, 43: e9. DOI: 10.1016/j.jsat.2012.08.055.Peer-Reviewed Original ResearchEconomics of addiction
Sindelar J. Economics of addiction. Journal Of Substance Use And Addiction Treatment 2012, 43: e9. DOI: 10.1016/j.jsat.2012.08.054.Peer-Reviewed Original ResearchSmoke-free policies in drinking venues predict transitions in alcohol use disorders in a longitudinal U.S. sample
Young-Wolff KC, Hyland AJ, Desai R, Sindelar J, Pilver CE, McKee SA. Smoke-free policies in drinking venues predict transitions in alcohol use disorders in a longitudinal U.S. sample. Drug And Alcohol Dependence 2012, 128: 214-221. PMID: 22999418, PMCID: PMC4052952, DOI: 10.1016/j.drugalcdep.2012.08.028.Peer-Reviewed Original ResearchConceptsAlcohol use disorderSmoke-free legislationSmoke-free policiesAUD remissionUse disordersLikelihood of AUDWave IIndoor public venuesLongitudinal U.S. sampleTobacco-related diseasesYounger age groupsNational Epidemiological SurveySmoke-free barsPublic health benefitsAUD onsetHigh comorbidityProtective effectCurrent drinkersTobacco useEpidemiological surveyAge groupsLogistic regressionRelated conditionsHeavy drinkingLower likelihood