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Comprehensive in coverage this textbook, written by academics from leading institutions, discusses current developments and debates in modern health economics from an international perspective. Economic models are presented in detail, complemented by real-life explanations and analysis, and discussions of the influence of such theories on policymaking. Offering sound pedagogy and economic rigor, Health Economics focuses on building intuition alongside appropriate mathematical formality, translating technical language into accessible economic narrative. Rather than shying away from intellectual building blocks, students are introduced to technical and theoretical foundations and encouraged to apply these to inform empirical studies and wider policymaking. Health Economics provides: - A broad scope, featuring comparative health policy and empirical examples from around the world to help students relate the principles of health economics to everyday life - Coverage of topical issues such as the obesity epidemic, economic epidemiology, socioeconomic health disparities, and behavioural economics - A rich learning resource, complete with hundreds of exercises to help solidify and extend understanding. This book is designed for advanced undergraduate courses in health economics and policy but may also interest postgraduate students in economics, medicine and health policy. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/health-economics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
Handbook of Industrial Organization Volume 4 highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors. - Part of the renowned Handbooks in Economics series - Chapters are contributed by some of the leading experts in their fields - A source, reference and teaching supplement for industrial organizations or industrial economists
This dissertation consists of four distinct essays. In an essay entitled "Claim Timing and Ex Post Adverse Selection: Evidence from Dental 'Insurance, ' " I explore the impact of strategic timing on insurance market allocations. If people can delay a claim just long enough to buy more insurance coverage in anticipation of it, severe adverse selection may result, and in extreme cases, this can lead to the complete unraveling of an insurance market. I study these forces by analyzing dental treatments and insurance, with the goal of understanding insurance in the market for dental care and also revealing lessons that apply to insurance markets more broadly. Using rich claim-level data from a large firm, my analysis reveals that the strategic delay of treatment and the associated adverse selection may be an important factor in explaining why so few people have dental coverage in the US and why typical dental "insurance" contracts provide so little insurance. More generally, my results suggest that insurance products without contract features designed to limit coverage for strategically delayed costs (e.g., open-enrollment periods, pricing pre-existing conditions) may generate unraveling. An essay entitled "The Hated Property Tax: Salience, Tax Rates, and Tax Revolts" (with Caroline Hoxby), explores the relationship between the salience of the property tax and observed property tax rates. We hypothesize that high salience explains the unpopularity of the property tax, the level of the property tax, and prevalence of property tax revolts. To identify variation in the salience of the property tax over local jurisdictions and over time, we exploit conditionally random variation in tax escrow, a method of paying the property tax that makes it much less salient. We find that areas in which the property tax is less salient are areas in which property taxes are higher and property tax revolts are less likely to occur. In an essay entitled "Private Coverage and Public Costs: Identifying the Effect of Private Supplemental Insurance on Medicare Spending" (with Neale Mahoney), we explore the impact of private supplemental insurance on Medicare spending. Private supplemental insurance to "fill the gaps" of Medicare, known as Medigap, is very popular. We estimate the impact of this supplemental insurance on total medical spending using an instrumental variables strategy that leverages discontinuities in Medigap premiums at state boundaries. Our estimates suggest that Medigap increases medical spending by 57 percent---or about 40 percent more than previous estimates suggest. Back-of-the-envelope calculations indicate that a 20 percent tax on premiums would generate combined revenue and savings of 6.2 percent of Medicare baseline costs. An essay entitled "The Effect of Insurance Coverage on Preventive Care" (with Mark Cullen), explores the effect of insurance coverage on preventive care utilization. Using health insurance claims data from a large company, this paper examines the implementation of an insurance benefit design which differentially increased the marginal price of curative care (non-preventive care) while decreasing the marginal price of prevention. We examine the effect of the differential price change on the use of preventive procedures. We reveal evidence consistent with an important negative cross-price effect; that is, increases in the price of curative care can depress preventive care utilization.
Rosen and Gayer's Public Finance provides the economic tools necessary to analyze government expenditure and tax policies and, along the way, takes students to the frontiers of current research and policy. While the information presented is cutting edge and reflects the work of economists currently active in the field, the approach makes the text accessible to undergraduates whose only prior exposure to economics is at the introductory level. The authors' years of policy experience have convinced them that modern public finance provides a practical and invaluable framework for thinking about policy issues. The goal is simple: to emphasize the links between sound economics and the analysis of real-world policy problems. Enhancements and key features for this new Global Edition include:New Policy Perspectives introduce relevant and engaging examples of international policy so students can extend their understanding of theory to policymaking across the globe. New Empirical Evidence applications provide students with real-world examples that are relevant to them, from case studies about Sweden and China to global examples that compare experiences between countries. Updated end-of-chapter questions broaden critical thinking, encouraging students to apply their knowledge to international and comparative examples. The results of econometric models are used to help students understand how expenditure and tax policies affect individual behavior and how governments set policies. Integrated theory and analysis: Institutional, theoretical, and empirical material is interwoven to provide students with a clear and coherent view of how government spending and taxation relate to economic theory. Current research is presented alongside discussion of methodological and substantive controversies. The approach is modern, theoretical, and empirical, and shared by most active economists. Institutional and legal settings are described in detail, and the links between economic analysis and current political issues are emphasized. This Global Edition has been adapted to meet the needs of courses outside of the United States and does not align with the instructor and student resources available with the US edition.
Addressing the challenge of covering heath care expenses—while minimizing economic risks. Moral hazard—the tendency to change behavior when the cost of that behavior will be borne by others—is a particularly tricky question when considering health care. Kenneth J. Arrow’s seminal 1963 paper on this topic (included in this volume) was one of the first to explore the implication of moral hazard for health care, and Amy Finkelstein—recognized as one of the world’s foremost experts on the topic—here examines this issue in the context of contemporary American health care policy. Drawing on research from both the original RAND Health Insurance Experiment and her own research, including a 2008 Health Insurance Experiment in Oregon, Finkelstein presents compelling evidence that health insurance does indeed affect medical spending and encourages policy solutions that acknowledge and account for this. The volume also features commentaries and insights from other renowned economists, including an introduction by Joseph P. Newhouse that provides context for the discussion, a commentary from Jonathan Gruber that considers provider-side moral hazard, and reflections from Joseph E. Stiglitz and Kenneth J. Arrow. “Reads like a fireside chat among a group of distinguished, articulate health economists.” —Choice
"Supported by the U.S. Department of Health and Human Services."
Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By complementing the exclusive focus of classical least squares regression on the conditional mean, quantile regression offers a systematic strategy for examining how covariates influence the location, scale and shape of the entire response distribution. This monograph is the first comprehensive treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric. The author has devoted more than 25 years of research to this topic. The methods in the analysis are illustrated with a variety of applications from economics, biology, ecology and finance. The treatment will find its core audiences in econometrics, statistics, and applied mathematics in addition to the disciplines cited above.
A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods. The main focus of this book is to provide the reader with a comprehensive description of the main issues concerning quantile regression; these include basic modeling, geometrical interpretation, estimation and inference for quantile regression, as well as issues on validity of the model, diagnostic tools. Each methodological aspect is explored and followed by applications using real data. Quantile Regression: Presents a complete treatment of quantile regression methods, including, estimation, inference issues and application of methods. Delivers a balance between methodolgy and application Offers an overview of the recent developments in the quantile regression framework and why to use quantile regression in a variety of areas such as economics, finance and computing. Features a supporting website (www.wiley.com/go/quantile_regression) hosting datasets along with R, Stata and SAS software code. Researchers and PhD students in the field of statistics, economics, econometrics, social and environmental science and chemistry will benefit from this book.
In this book leading German econometricians in different fields present survey articles of the most important new methods in econometrics. The book gives an overview of the field and it shows progress made in recent years and remaining problems.
This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.