Prelims
Essays in Honor of Subal Kumbhakar
ISBN: 978-1-83797-874-8, eISBN: 978-1-83797-873-1
ISSN: 0731-9053
Publication date: 5 April 2024
Citation
(2024), "Prelims", Parmeter, C.F., Tsionas, M.G. and Wang, H.-J. (Ed.) Essays in Honor of Subal Kumbhakar (Advances in Econometrics, Vol. 46), Emerald Publishing Limited, Leeds, pp. i-x. https://doi.org/10.1108/S0731-905320240000046016
Publisher
:Emerald Publishing Limited
Copyright © 2024 Christopher F. Parmeter, Mike G. Tsionas, Hung-Jen Wang
Half Title Page
ESSAYS IN HONOR OF SUBAL KUMBHAKAR
Series Page
ADVANCES IN ECONOMETRICS
Series editors: Thomas B. Fomby, R. Carter Hill, Ivan Jeliazkov, Juan Carlos Escanciano, Eric Hillebrand, Daniel L. Millimet, Rodney Strachan
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Title Page
ADVANCES IN ECONOMETRICS, VOLUME 46
ESSAYS IN HONOR OF SUBAL KUMBHAKAR
EDITED BY
CHRISTOPHER F. PARMETER
University of Miami, USA
MIKE G. TSIONAS
University of Lancaster, UK
and
HUNG-JEN WANG
National Taiwan University, Taiwan
United Kingdom – North America – Japan – India – Malaysia – China
Copyright Page
Emerald Publishing Limited
Emerald Publishing, Floor 5, Northspring, 21-23 Wellington Street, Leeds LS1 4DL.
First edition 2024
Editorial matter and selection © 2024 Christopher F. Parmeter, Mike G. Tsionas, and Hung-Jen Wang.
Individual chapters © 2024 The authors.
Published under exclusive licence by Emerald Publishing Limited.
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British Library Cataloguing in Publication Data
A catalogue record for this book is available from the British Library
ISBN: 978-1-83797-874-8 (Print)
ISBN: 978-1-83797-873-1 (Online)
ISBN: 978-1-83797-875-5 (Epub)
ISSN: 0731-9053 (Series)
Dedication
This book is dedicated to the memory of Mike Tsionas who passed away shortly after the completion of this volume. He was an amazing colleague and brilliant thinker.
Contents
List of Contributors | ix |
Chapter 1. Editors’ Introduction | |
Christopher F. Parmeter, Mike G. Tsionas and Hung-Jen Wang | 1 |
Chapter 2. Hausman’s Specification Test for Panel Data: Practical Tips | |
Badi H. Baltagi | 13 |
Chapter 3. Do Federal Disability Insurance Participants Exaggerate Their Health Problems? A Study Using Anchoring Vignettes | |
Kajal Lahiri and Paul Noroski | 25 |
Chapter 4. Homelessness on the West Coast and the Role of Health: Inefficiency and Productivity Loss in American Society | |
Corey Fuller and Robin C. Sickles | 45 |
Chapter 5. Bootstrap Model Averaging Unit Root Inference | |
Bruce E. Hansen and Jeffrey S. Racine | 81 |
Chapter 6. Averaging Heterogeneous Autoregression Models with Heteroskedastic Errors: Theory and an Application to Cryptocurrency Volatility Forecasting | |
Ziwen Gao, Steven F. Lehrer, Tian Xie and Xinyu Zhang | 99 |
Chapter 7. Efficient Estimation in Varying Coefficient Panel Data Model with Different Smoothing Variables and Fixed Effects | |
Feng Yao, Qinling Lu, Yiguo Sun and Junsen Zhang | 133 |
Chapter 8. The Role of Management in Efficient Production: Theoretical and Statistical Implications | |
Mike G. Tsionas | 185 |
Chapter 9. A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity | |
Emir Malikov, Shunan Zhao and Jingfang Zhang | 211 |
Chapter 10. The Structural and Productivity Effects of Infrastructure Provision in Developed and Developing Countries | |
Luis Orea, Inmaculada Álvarez-Ayuso and Luis Servén | 265 |
Chapter 11. Improving Predictions of Technical Inefficiency | |
Christine Amsler, Robert James, Artem Prokhorov and Peter Schmidt | 309 |
Chapter 12. A Semiparametric Constant Elasticity of Substitution Stochastic Frontier Model for Panel Data | |
Taining Wang and Daniel J. Henderson | 329 |
Chapter 13. Random Versus Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals | |
Zhichao Wang and Valentin Zelenyuk | 371 |
Chapter 14. Indirect Inference of Stochastic Frontier Models | |
Hung-pin Lai | 415 |
Chapter 15. The Nash Bargaining Two-tier Stochastic Frontier Model | |
Alecos Papadopoulos | 439 |
List of Contributors
Inmaculada Álvarez-Ayuso | Universidad Autónoma de Madrid, Spain |
Christine Amsler | Michigan State University, USA |
Badi H. Baltagi | Syracuse University, USA |
Corey Fuller | Southwest Airlines, USA |
Ziwen Gao | Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, China |
Bruce E. Hansen | University of Wisconsin, USA |
Daniel J. Henderson | University of Alabama, USA |
Robert James | University of Sydney, Australia |
Kajal Lahiri | University at Albany, State University of New York, USA |
Hung-pin Lai | National Chung Cheng University, Taiwan; Research Center of Humanities and Social Sciences, Academia Sinica, Taiwan |
Steven F. Lehrer | Queen’s University, Canada; NBER, USA |
Qinling Lu | Risk Modeling & Analysis, KeyBank, USA |
Emir Malikov | University of Nevada, Las Vegas, USA |
Paul Noroski | University at Albany, State University of New York, USA |
Luis Orea | University of Oviedo, Spain |
Alecos Papadopoulos | Athens University of Economics and Business, Greece |
Christopher F. Parmeter | University of Miami, USA |
Artem Prokhorov | University of Sydney Business School, Australia; Center for Econometrics and Business Analytics, Russia |
Jeffrey S. Racine | McMaster University, Canada; La Trobe University, Australia; American University, USA; Rimini Center for Economic Analysis, Italy |
Peter Schmidt | Michigan State University, USA |
Luis Servén | Centro de Estudios Monetarios y Financieros, Spain |
Robin C. Sickles | Rice University, USA |
Yiguo Sun | University of Guelph, Canada |
Mike G. Tsionas | Lancaster University, UK |
Hung-Jen Wang | National Taiwan University, Taiwan |
Taining Wang | Capital University of Economics and Business, China |
Zhichao Wang | University of Queensland, Australia |
Tian Xie Shanghai | University of Finance and Economics, China |
Feng Yao | West Virginia University, USA; Shenzhen University, China |
Valentin Zelenyuk | University of Queensland, Australia |
Jingfang Zhang | Alcorn State University, USA |
Junsen Zhang | Zhejiang University, China |
Xinyu Zhang | Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China |
Shunan Zhao | Oakland University, USA |
- Prelims
- Chapter 1: Editors’ Introduction
- Chapter 2: Hausman’s Specification Test for Panel Data: Practical Tips
- Chapter 3: Do Federal Disability Insurance Participants Exaggerate Their Health Problems? A Study Using Anchoring Vignettes
- Chapter 4: Homelessness on the West Coast and the Role of Health: Inefficiency and Productivity Loss in American Society
- Chapter 5: Bootstrap Model Averaging Unit Root Inference
- Chapter 6: Averaging Heterogeneous Autoregression Models with Heteroskedastic Errors: Theory and an Application to Cryptocurrency Volatility Forecasting
- Chapter 7: Efficient Estimation in Varying Coefficient Panel Data Model with Different Smoothing Variables and Fixed Effects
- Chapter 8: The Role of Management in Efficient Production: Theoretical and Statistical Implications
- Chapter 9: A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity
- Chapter 10: The Structural and Productivity Effects of Infrastructure Provision in Developed and Developing Countries
- Chapter 11: Improving Predictions of Technical Inefficiency
- Chapter 12: A Semiparametric Constant Elasticity of Substitution Stochastic Frontier Model for Panel Data
- Chapter 13: Random Versus Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals
- Chapter 14: Indirect Inference of Stochastic Frontier Models
- Chapter 15: The Nash Bargaining Two-tier Stochastic Frontier Model