The Economics of Mental Health

描述（由申请人提供）：该计划旨在通过提供广泛（跨越经济学核心学科）和深入（在心理健康经济学和经济分析方法领域内）的学术经验来培养下一代健康和心理健康经济学学者。设计政策，以确保具有成本效益，公平的精神卫生保健在美国人口的异质需求和资源（如保险覆盖范围）需要创造性的，深刻的经济分析。这是在这一领域提供培训的主要理由。该计划提供经济学核心分析工具（微观经济分析和计量经济学）方面的培训，以及健康和心理健康经济学方法、主题和数据方面的专业培训和指导。培训围绕核心研讨会、专业课程、研究和方法技能的发展、专业发展练习、研究伦理培训和指导论文研究进行。该计划的研究领域是健康和心理健康经济学。虽然该计划涵盖了心理健康经济学中广泛的问题和疾病领域，但它将强调反映其教师专业知识的特定主题。核心的科学学科是经济学，重点是微观经济学，

DESCRIPTION (provided by applicant): The proposed program is designed to train the next generation of scholars in health and mental health economics by providing a broad (across the core disciplines of economics) and deep (within the field of mental health economics and the methodologies of economic analysis) academic experience. Designing policies to ensure cost-effective, equitable mental health care in the U.S. population with its heterogeneous needs and resources (e.g. insurance coverage) requires creative, insightful economic analysis. This is the main rationale for providing training in this area. The proposed program provides training in the core analytical tools of economics (microeconomic analysis and econometrics), and specialized training and mentoring in the methods, topics, and data in health and mental health economics. The training is organized around a core seminar, specialized coursework, development of research and methodological skills, professional development exercises, training in research ethics, and mentored dissertation research. The proposed program's research area is the economics of health and mental health. While the program covers a broad set of issues and disease areas in the economics of mental health, it will emphasize particular topics that reflect its faculty's expertise. The core scientific discipline is economics, with focus on microeconomics, econometrics, and health economics. Yet given the interdisciplinary nature of scientific inquiry in mental health, a strong training faculty representing psychiatry, psychology, social work, actuarial sciences, and economics has been assembled. In each academic year we propose to have six predoctoral students in training; they will generally be at different stages of their studies. Virtually all trainees will be at early career stages, typically with 0-2 years of post-baccalaureate work experience; most have baccalaureate training in economics, statistics, mathematics, or public policy.