Overview
- Provides an up-to-date treatment of the two-tier stochastic frontier model and its applications
- Addresses the underlying economic and statistical intuition of all aspects of the model
- Offers detailed guidance for empirical applications and a dedicated website with estimation codes
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About this book
This textbook provides an up-to-date treatment of the two-tier stochastic frontier model and its applications across the social sciences. It is a cohesive treatise on both the classical methods of estimation and inference and various machinations of the two-tier stochastic frontier model, as well as more recently developed tools that can shed new insight into why these opposing latent forces which affect economic, sociopolitical, and even psychological outcomes, exist, and to what extent. The text is intended to be a self-contained reference for practitioners to rely on when using these methods in their research, regardless of field. It includes sixteen empirical applications on diverse topics (labor market, housing market, consumer goods, production economics, sociology, international relations, psychology, public education, healthcare management, environmental policy). The book is accompanied by a dedicated website where 2TSF software code in the R and gretl open-source platforms is provided.
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Keywords
Table of contents (14 chapters)
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Front Matter
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Concepts and Metrics
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Front Matter
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Models and Applications
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Front Matter
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Tools for Estimation and Inference
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Front Matter
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Back Matter
Reviews
The two-tier stochastic frontier model was first invented in 1987. Since then, the approach has been refined and applied to a number of areas spanning micro and macroeconomics, as well as other social science disciplines including health and political science. Alecos Papadopoulos and Christopher F. Parmeter’s Two-Tier Stochastic Frontier Analysis for the Social Sciences is a vital synthesis and extension of this literature. I can easily see their book becoming the definitive source on the power of the two-tier frontier.
Solomon W. Polachek, Distinguished Professor of Economics, Binghamton University
Authors and Affiliations
About the authors
Alecos Papadopoulos received his PhD in Economics from the Department of Economics of the Athens University of Economics and Business. He does research in econometrics, microeconomics and macroeconomics.
Christopher F. Parmeter is an associate professor at the University of Miami. He was formerly an assistant professor in the department of agricultural and applied economics at Virginia Polytechnic Institute and State University and a visiting scholar in Dipartimento di Studi su Politica, Diritto e Societa at the University of Palermo. He received his PhD in economics from the State University of New York at Binghamton. His research focuses on applied econometrics across an array of fields, including economic growth, microfinance, international trade, environmental economics, and health economics. He is currently Vice Editor at the Journal of Productivity Analysis and Co-Editor at Environmental and Resource Economics.
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Bibliographic Information
Book Title: Two-Tier Stochastic Frontier Analysis for the Social Sciences
Authors: Alecos Papadopoulos, Christopher F. Parmeter
DOI: https://doi.org/10.1007/978-3-031-81513-3
Publisher: Springer Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025
Hardcover ISBN: 978-3-031-81512-6Published: 13 April 2025
Softcover ISBN: 978-3-031-81515-7Due: 27 April 2026
eBook ISBN: 978-3-031-81513-3Published: 12 April 2025
Edition Number: 1
Number of Pages: XVII, 363
Number of Illustrations: 20 b/w illustrations, 50 illustrations in colour
Topics: Econometrics, Economic Theory/Quantitative Economics/Mathematical Methods, Statistics for Business, Management, Economics, Finance, Insurance, Statistical Theory and Methods