Instrumental Variables Iv
Mostrando 1-5 de 5 artigos, teses e dissertações.
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1. A indústria siderúrgica brasileira : um estudo econométrico
A dissertação traz um breve resumo da história da siderurgia no Brasil, e comentários sobre o que vem ocorrendo no setor no mundo. A dissertação busca contribuir com a estimação de demanda para mercados oligopolizados, utilizando como proxie o mercado siderúrgico brasileiro. O objetivo, portanto, é estimar as variáveis econômicas que impactam o c
Publicado em: 2007
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2. Who is the marginal patient? Understanding instrumental variables estimates of treatment effects.
OBJECTIVE: To clarify the issues of generalizability arising from the use of instrumental variable (IV) methods to estimate treatment effects in nonexperimental medical outcome studies. DATA SOURCE: We generate Monte Carlo data designed to resemble typical data sets where detailed health status information is unavailable and the treatment assignment process
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3. Do longer postpartum stays reduce newborn readmissions? Analysis using instrumental variables.
OBJECTIVE: To determine the effect of postpartum length of stay on newborn readmission. DATA SOURCES: Secondary data set consisting of newborns born in Washington state in 1989 and 1990. The data set contains information about the characteristics of the newborn and its parents, physician, hospital, and insurance status. STUDY DESIGN: Analysis of the effect o
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4. Expectations among the elderly about nursing home entry.
OBJECTIVE: To assess whether the covariates that explain expectations of nursing home entry are consistent with the characteristics of those who enter nursing homes. DATA SOURCES: Waves 1 and 2 of the Assets and Health Dynamics Among the Oldest Old (AHEAD) survey. STUDY DESIGN: We model expectations about nursing home entry as a function of expectations abou
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5. Does physician specialty affect the survival of elderly patients with myocardial infarction?
OBJECTIVE: To determine the effect of treatment by a cardiologist on mortality of elderly patients with acute myocardial infarction (AMI, heart attack), accounting for both measured confounding using risk-adjustment techniques and residual unmeasured confounding with instrumental variables (IV) methods. DATA SOURCES/STUDY SETTING: Medical chart data and long