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Data Visualization and Health Econometrics focuses on the principles and practice of data visualization and statistical graphics and how these can enhance empirical analysis of health care costs and outcomes, especially for skewed and heavy-tailed distributions. The scope of this review is limited to non-normal but continuous outcomes such as health care costs and biomarkers. The methods and applications used here are limited to cross sectional data.
Recent Developments in Health Econometrics highlights recent developments in health econometrics, especially in areas of empirical health economics, where Professor Andrew Jones has contributed so significantly.
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Health Economics: An International Perspective is the only textbook to provide a truly international, comparative treatment of health economics. Offering an analysis of health systems across borders, the fourth edition of this key text has been updated and revised to take account of changes in a host of countries. This edition features an expanded introduction, providing better grounding for many of the examples that come in subsequent chapters and making it easier for non-health care experts to see the links between the theory, the examples and the health care system components. It also boasts a restructured format, dividing the book into two broad sections: the first focuses on ideas and principles, along with evidence on their applications in the health sector, whereas the second focuses on introducing core tools and techniques used in applied health economics research. Further updates to this edition include: two new chapters on applied econometrics; a new chapter on equity, focusing on equity in access to health care, paying particular attention to how access and need for health care are defined and measured in applied research; a new chapter on emerging issues for health systems that are emanating from a series of global transitions both within (e.g. demographic change, epidemiological change, the global resolution on universal health coverage) and without the health sector (e.g. economic transitions). Throughout the text, examples and illustrations are taken from a wide range of settings and world regions, providing a unique overview of the performance of different health systems.
This volume covers a wide range of existing and emerging topics in applied health economics, including behavioural economics, medical care risk, social insurance, discrete choice models, cost-effectiveness analysis, health and immigration, and more.
Health Econometrics Using Stataby Partha Deb, Edward C. Norton, and Willard G. Manning provides an excellent overview of the methods used to analyze data on healthcare expenditure and use. Aimed at researchers, graduate students, and practitioners, this book introduces readers to widely used methods, shows them how to perform these methods in Stata, and illustrates how to interpret the results. Each method is discussed in the context of an example using an extract from the Medical Expenditure Panel Survey. After the overview chapters, the book provides excellent introductions to a series of topics aimed specifically at those analyzing healthcare expenditure and use data. The basic topics of linear regression, the generalized linear model, and log and Box-Cox models are covered with a tight focus on the problems presented by these data. Using this foundation, the authors cover the more advanced topics of models for continuous outcome with mass points, count models, and models for heterogeneous effects. Finally, they discuss endogeneity and how to address inference questions using data from complex surveys. The authors use their formidable experience to guide readers toward useful methods and away from less recommended ones. Their discussion of "health econometric myths" and the chapter presenting a framework for approaching health econometric estimation problems are especially useful for this aspect. , count models, and models for heterogeneous effects. Finally, they discuss endogeneity and how to address inference questions using data from complex surveys. The authors use their formidable experience to guide readers toward useful methods and away from less recommended ones. Their discussion of "health econometric myths" and the chapter presenting a framework for approaching health econometric estimation problems are especially useful for this aspect.
This book contains a collection of works showcasing the latest research into global health economics conducted by leading experts in the field from the Centre for Health Economics (CHE) at the University of York and other partner research institutions. Each chapter focuses upon an important topic in global health economics and a number of separate research projects. The discussion delves into health care policy evaluation; economic evaluation; econometric and other analytic methods; health equity and universal health coverage; consideration of cost-effectiveness thresholds and opportunity costs in the health sector; health system challenges and possible solutions; and others. Case study examples from a variety of low- and middle-income countries (LMIC) settings are also showcased in the final part of this volume.The research presented seeks to contribute toward increasing understanding on how health policy can be enhanced to improve the welfare of LMIC populations. It is strongly recommended for public health policymakers and analysts in low- and middle-income country settings and those affiliated to international health organizations and donor organizations.
The first edition of Applied Health Economics did an expert job of showing how the availability of large scale data sets and the rapid advancement of advanced econometric techniques can help health economists and health professionals make sense of information better than ever before. This second edition has been revised and updated throughout and includes a new chapter on the description and modelling of individual health care costs, thus broadening the book’s readership to those working on risk adjustment and health technology appraisal. The text also fully reflects the very latest advances in the health economics field and the key journal literature. Large-scale survey datasets, in particular complex survey designs such as panel data, provide a rich source of information for health economists. They offer the scope to control for individual heterogeneity and to model the dynamics of individual behaviour. However, the measures of outcome used in health economics are often qualitative or categorical. These create special problems for estimating econometric models. The dramatic growth in computing power over recent years has been accompanied by the development of methods that help to solve these problems. The purpose of this book is to provide a practical guide to the skills required to put these techniques into practice. Practical applications of the methods are illustrated using data on health from the British Health and Lifestyle Survey (HALS), the British Household Panel Survey (BHPS), the European Community Household Panel (ECHP), the US Medical Expenditure Panel Survey (MEPS) and Survey of Health, Ageing and Retirement in Europe (SHARE). There is a strong emphasis on applied work, illustrating the use of relevant computer software with code provided for Stata. Familiarity with the basic syntax and structure of Stata is assumed. The Stata code and extracts from the statistical output are embedded directly in the main text and explained at regular intervals. The book is built around empirical case studies, rather than general theory, and the emphasis is on learning by example. It presents a detailed dissection of methods and results of some recent research papers written by the authors and their colleagues. Relevant methods are presented alongside the Stata code that can be used to implement them and the empirical results are discussed at each stage. This text brings together the theory and application of health economics and econometrics, and will be a valuable reference for applied economists and students of health economics and applied econometrics.
This Handbook features the best teaching practices in the Health Economics (HE) field over the past decade. HE is still considered a new field in the world of economics. The teaching materials are designed for and suitable to HE specializations housed in economics departments, schools of public health, health professions, health sciences, nursing, pharmacy, business, or public/health administration.