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Two-tier stochastic frontier analysis for the social sciences

By: Contributor(s): Material type: TextTextPublication details: Switzerland Springer 2025Description: xvii,363pISBN:
  • 9783031815126
Subject(s): DDC classification:
  • 300.727  PAP
Summary: 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. (https://link.springer.com/book/10.1007/978-3-031-81513-3)
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC General Stacks Public Policy & General Management 300.727 PAP (Browse shelf(Opens below)) 1 Available 009161

Front Matter
Pages 1-1
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Introduction
Alecos Papadopoulos, Christopher F. Parmeter
Pages 3-24
Metrics for the Latent Effects
Alecos Papadopoulos, Christopher F. Parmeter
Pages 25-54
Models and Applications
Front Matter
Pages 55-55
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Incomplete Information
Alecos Papadopoulos, Christopher F. Parmeter
Pages 57-71
Bargaining
Alecos Papadopoulos, Christopher F. Parmeter
Pages 73-96
A Jamboree of Latent Forces
Alecos Papadopoulos, Christopher F. Parmeter
Pages 97-123
Binary Responses and Treatment Effects
Alecos Papadopoulos, Christopher F. Parmeter
Pages 125-141
Tools for Estimation and Inference
Front Matter
Pages 143-143
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Estimation Methods and Statistical Specifications
Alecos Papadopoulos, Christopher F. Parmeter
Pages 145-172
Incorporating Heterogeneity in the 2TSF Model
Alecos Papadopoulos, Christopher F. Parmeter
Pages 173-194
2TSF Panel Data Models
Alecos Papadopoulos, Christopher F. Parmeter
Pages 195-221
Allowing for Intra-error Dependence
Alecos Papadopoulos, Christopher F. Parmeter
Pages 223-252
Software for 2TSF Analysis
Alecos Papadopoulos, Christopher F. Parmeter
Pages 253-296
Extensions
Front Matter
Pages 297-297
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Extensions I: 2TSF Tug-of-War Models
Alecos Papadopoulos, Christopher F. Parmeter
Pages 299-314
Extensions II: 2TSF Binary Response Models
Alecos Papadopoulos, Christopher F. Parmeter
Pages 315-335
Extensions III: Honey Pots and Epilogue
Alecos Papadopoulos, Christopher F. Parmeter
Pages 337-355
Back Matter
Pages 357-363

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. (https://link.springer.com/book/10.1007/978-3-031-81513-3)

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