Economic efficiency analysis has received considerable worldwide attention in the last few decades, with Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) establishing themselves as the two dominant approaches in the literature. This book, by combining cutting-edge theoretical research on DEA and SFA with attractive real-world applications, offers a valuable asset for professors, students, researchers, and professionals working in all branches of economic efficiency analysis, as well as those concerned with the corresponding economic policies. The book is divided into three parts, the first of which is devoted to basic concepts, making the content self-contained. The second is devoted to DEA, and the third to SFA. The topics covered in Part 2 range from stochastic DEA to multidirectional dynamic inefficiency analysis, including directional distance functions, the elimination and choice translating algorithm, benefit-of-the-doubt composite indicators,and internal benchmarking for efficiency evaluations. Part 3 also includes exciting and cutting-edge theoretical research on e.g. robustness, nonparametric stochastic frontier models, hierarchical panel data models, and estimation methods like corrected ordinary least squares and maximum entropy.

Drawing on more modern expressions of economic analysis, this book explores the interplay between wellbeing, nature and moral values in economics. In standard accounts of economics, these three themes are typically treated in isolation from each other, or else overlooked entirely. This book argues that due to this blinkered approach, standard economic analysis is poorly equipped to deal with global contemporary challenges including climate change, biodiversity loss, sustainability, and the risk of pandemic diseases. The book reviews the economic literature to show that the last few decades has seen the re-insertion into economic analysis of human wellbeing, natural resources and moral values: three themes present in early economic thought that are highly relevant to the challenges ahead. The book argues for the greater integration of these three themes as the natural environment is crucial to human wellbeing, and moral values are essential for environmentally benign behaviors. The book also focuses on how specific moral values, identified by contemporary moral psychology, actually shape economic behavior rather than how abstract ethical principles they should shape economic behavior. The book will be of significant interest to readers in the economics and social sciences, particularly behavioral economics and social psychology.

This textbook introduces readers to essential tools, techniques and methods for intertemporal and strategic modeling in economics. It presents a variety of analytical models covering both dynamic processes and strategic interaction. Students will learn the basic mechanisms associated with the intertemporal approach, on the one hand, and game theory, i.e., the strategic approach, on the other. In addition, a wide range of applications are explored, including growth models, labor markets, international trade, and individual decision-making. Intended for upper undergraduate and graduate students in economics and related fields with a background in mathematics and calculus, this textbook provides a comprehensive introduction to economic modeling and its applications. By avoiding excessive formalism and exploring straightforward examples and applications, it is optimally suited for graduate courses in economics and finance.