Lecture Notes In Experimental Economics
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Lecture Notes In Experimental Economics
Experimental economics involves the use of controlled, experimental methods both in the laboratory and the field to better comprehend how individuals and groups make economic decisions and to more clearly identify causal relationships. This book takes the reader to the frontier of research in this exciting and rapidly growing field. Unlike other texts, this book discusses both the methodology of experimental economics and some of the main application areas.The material is organized as a series of 12 chapters or lectures that can be covered in a single academic term. The first five chapters cover the reasons for experimentation as well as basic experimental methodology. The last seven chapters discuss applications of experimental economics to areas such as game theory, public economics, social preferences, auctions and markets. The book assumes only a basic knowledge of economics and game theory and is written at a level that is suitable for advanced undergraduate, master's or PhD students.
The Handbook of Experimental Economics, Volume 2
Author: John H. Kagel
language: en
Publisher: Princeton University Press
Release Date: 2016-10-04
An indispensable survey of new developments and results in experimental economics When The Handbook of Experimental Economics first came out in 1995, the notion of economists conducting lab experiments to generate data was relatively new. Since then, the field has exploded. This second volume of the Handbook covers some of the most exciting new growth areas in experimental economics, presents the latest results and experimental methods, and identifies promising new directions for future research. Featuring contributions by leading practitioners, the Handbook describes experiments in macroeconomics, charitable giving, neuroeconomics, other-regarding preferences, market design, political economy, subject population effects, gender effects, auctions, and learning and the economics of small decisions. Contributors focus on key developments and report on experiments, highlighting the dialogue between experimenters and theorists. While most of the experiments consist of laboratory studies, the book also includes several chapters that report extensively on field experiments related to the subject area studied. Covers exciting new growth areas in experimental economics Features contributions by leading experts Describes experiments in macroeconomics, charitable giving, neuroeconomics, market design, political economy, gender effects, auctions, and more Highlights the dialogue by experimenters with theorists and each other Includes several chapters covering field experiments related to the subject area studied
Model-Oriented Design of Experiments
Author: Valerii V. Fedorov
language: en
Publisher: Springer Nature
Release Date: 2024-12-26
This book presents the basic ideas of statistical methods in the design of optimal experiments. This new edition now includes sections on design techniques based on the elemental Fisher information matrices (as opposed to Pearson information/moment matrices), allowing a seamless extension of the design techniques to inferential problems where the shape of distributions is essential for optimal design construction. Topics include designs for nonlinear models, models with random parameters and models with correlated observations, designs for model discrimination and misspecified (contaminated) models, and designs in functional spaces. The authors avoid technical details, assuming a moderate background in calculus, matrix algebra, and statistics. In many places, however, suggestions are made as to how the ideas presented in this book can be extended and elaborated for use in real scientific research and practical engineering problems.