Applied Health Economics

This insightful text explores the intersection of health economics and econometrics, making it an essential resource for professionals and students alike. Applied Health Economics provides practical guidance and case studies.

The first edition of Applied Health Economics expertly demonstrated how large-scale datasets and advanced econometric techniques can enhance the understanding of health information. This second edition has been thoroughly revised and updated to include a new chapter focused on the description and modeling of individual healthcare costs. This addition broadens the book's appeal to professionals involved in risk adjustment and health technology appraisal, ensuring that it stays relevant in a rapidly evolving field.

Applied Health Economics emphasizes the importance of large-scale survey datasets, particularly complex designs like panel data, which provide valuable insights for health economists. These datasets allow for controlling individual heterogeneity and modeling behavioral dynamics. However, the qualitative or categorical nature of many health economics outcome measures poses unique challenges for econometric modeling. The book addresses these issues by introducing practical methods that have emerged alongside advancements in computing power.

Illustrating practical applications using data from various health surveys, the book emphasizes applied work and provides relevant Stata code throughout. It is structured around empirical case studies, prioritizing learning through examples rather than abstract theory. By integrating theory with application, Applied Health Economics serves as a comprehensive reference for applied economists, students, and professionals in health economics and econometrics, guiding them in implementing effective techniques in their research and practice.