Instrumental variables technique: cigarette price provided better estimate of effects of smoking on SF-12.
暂无分享,去创建一个
[1] W. Garraway,et al. Impact of previously unrecognized benign prostatic hyperplasia on the daily activities of middle-aged and elderly men. , 1993, The British journal of general practice : the journal of the Royal College of General Practitioners.
[2] L Benamghar,et al. Individual characteristics in occupational accidents due to imbalance: a case-control study of the employees of a railway company , 2003, Occupational and environmental medicine.
[3] J M Lepkowski,et al. The social stratification of aging and health. , 1994, Journal of health and social behavior.
[4] M. Mcclellan,et al. The marginal benefits of invasive treatments for acute myocardial infarction: does insurance coverage matter? , 2000, Inquiry : a journal of medical care organization, provision and financing.
[5] D. Blumenthal,et al. Changes in the scope of care provided by primary care physicians. , 1999, The New England journal of medicine.
[6] Jerry A. Hausman,et al. Weak Instruments: Diagnosis and Cures in Empirical Econometrics , 2003 .
[7] J. Newhouse,et al. Econometrics in outcomes research: the use of instrumental variables. , 1998, Annual review of public health.
[8] O. Lundberg,et al. Predictors of Physical Function among the Oldest Old , 1996, Journal of aging and health.
[9] H. Wechsler,et al. Price, Tobacco Control Policies and Smoking Among Young Adults , 1995, Journal of health economics.
[10] M. Berger,et al. Schooling, Self-Selection, and Health , 1989 .
[11] A. Lleras-Muney. The Relationship Between Education and Adult Mortality in the U. S , 2001 .
[12] H. Sugisawa,et al. Transitions in functional status and active life expectancy among older people in Japan. , 1995, The journals of gerontology. Series B, Psychological sciences and social sciences.
[13] Joshua D. Angrist,et al. Split-Sample Instrumental Variables Estimates of the Return to Schooling , 1995 .
[14] Jeffrey M. Wooldridge,et al. Cluster-Sample Methods in Applied Econometrics , 2003 .
[15] E. Hanushek,et al. Handbook of the Economics of Education , 2006 .
[16] R. Kessler,et al. Depression and parental bonding: Cause, consequence, or genetic covariance? , 1994, Genetic epidemiology.
[17] J F Fries,et al. Reducing attrition bias with an instrumental variable in a regression model: results from a panel of rheumatoid arthritis patients. , 1993, Statistics in medicine.
[18] Alan D. Lopez,et al. Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study , 1997, The Lancet.
[19] Douglas Coate,et al. The Effects of Government Regulation on Teenage Smoking , 1981, The Journal of Law and Economics.
[20] R. Martorell,et al. Differential response to early nutrition supplementation: long-term effects on height at adolescence. , 1995, International journal of epidemiology.
[21] K. Harris,et al. Who is the marginal patient? Understanding instrumental variables estimates of treatment effects. , 1998, Health services research.
[22] Peter E. Kennedy. A Guide to Econometrics , 1979 .
[23] I. Vuori,et al. Characteristics of leisure time physical activity associated with decreased risk of premature all-cause and cardiovascular disease mortality in middle-aged men. , 1996, American journal of epidemiology.
[24] M. Weinstein,et al. Effectiveness of chemotherapy for advanced lung cancer in the elderly: instrumental variable and propensity analysis. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[25] Michael Grossman,et al. Education and Nonmarket Outcomes , 2005 .
[26] A. Stuck,et al. Risk factors for functional status decline in community-living elderly people: a systematic literature review. , 1999, Social science & medicine.
[27] D. Richman,et al. Predictors of Self‐Reported Adherence and Plasma HIV Concentrations in Patients on Multidrug Antiretroviral Regimens , 2000, Journal of acquired immune deficiency syndromes.
[28] J. Fries,et al. Tobit, fixed effects, and cohort analyses of the relationship between severity and duration of rheumatoid arthritis. , 1993, Social science & medicine.
[29] E. Moretti,et al. Mother&Apos;S Education and the Intergenerational Transmission of Human Capital: Evidence from College Openings and Longitudinal Data , 2002 .
[30] W. Viscusi,et al. Smoking Status and Public Responses to Ambiguous Scientific Risk Evidence , 1999 .
[31] David A. Jaeger,et al. Problems with Instrumental Variables Estimation when the Correlation between the Instruments and the Endogenous Explanatory Variable is Weak , 1995 .
[32] T. Hu,et al. The demand for cigarettes in California and behavioural risk factors. , 1995, Health economics.
[33] P Kemper,et al. The design of the community tracking study: a longitudinal study of health system change and its effects on people. , 1996, Inquiry : a journal of medical care organization, provision and financing.
[34] L. Callahan,et al. Arthritis and women's health: prevalence, impact, and prevention. , 1996, American journal of preventive medicine.
[35] S. Crystal,et al. Uninsured status and out-of-pocket costs at midlife. , 2000, Health services research.
[36] J. Elefteriades,et al. Procedures for estimating growth rates in thoracic aortic aneurysms. , 1998, Journal of clinical epidemiology.
[37] R. Kane,et al. Effects of using consumer and expert ratings of an activities of daily living scale on predicting functional outcomes of postacute care. , 2001, Journal of clinical epidemiology.
[38] D. Rabin,et al. Posthospitalization home health care use and changes in functional status in a Medicare population. , 2000, Medical care.
[39] T E Keeler,et al. Taxation, regulation, and addiction: a demand function for cigarettes based on time-series evidence. , 1991, Journal of health economics.
[40] B J McNeil,et al. Does more intensive treatment of acute myocardial infarction in the elderly reduce mortality? Analysis using instrumental variables. , 1994, JAMA.
[41] T. Kohlmann,et al. The association between clinical findings on physical examination and self-reported severity in back pain. Results of a population-based study. , 1997, Spine.
[42] J. Mackay,et al. The Tobacco Atlas , 2002 .
[43] J. Lefevre,et al. Reliability and validity of three physical activity questionnaires in Flemish males. , 1998, American journal of epidemiology.
[44] S. Kageyama,et al. Urinary incontinence among community‐dwelling people aged 40 years or older in Japan: Prevalence, risk factors, knowledge and self‐perception , 2000, International journal of urology : official journal of the Japanese Urological Association.
[45] L. Russell,et al. Survival, functional limitations, and self-rated health in the NHANES I Epidemiologic Follow-up Study, 1992. First National Health and Nutrition Examination Survey. , 2000, American journal of epidemiology.
[46] J. Angrist,et al. Journal of Economic Perspectives—Volume 15, Number 4—Fall 2001—Pages 69–85 Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments , 2022 .
[47] M. Ruel,et al. The mediating effect of maternal nutrition knowledge on the association between maternal schooling and child nutritional status in Lesotho. , 1992, American journal of epidemiology.
[48] Jeanne S. Ringel,et al. Can Higher Cigarette Taxes Improve Birth Outcomes? , 1997 .
[49] G. W. Imbens. Sensitivity to Exogeneity Assumptions in Program Evaluation , 2003 .
[50] David Blumenthal,et al. Changes in career satisfaction among primary care and specialist physicians, 1997-2001. , 2003, JAMA.