Stochastic Frontier Analysis

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Cambridge University Press, Mar 10, 2003 - Business & Economics - 333 pages
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This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis. Hb ISBN (2000): 0-521-48184-8
 

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Contents

INTRODUCTION
1
12 A BRIEF HISTORY OF THOUGHT
4
13 THE ORGANIZATION OF THE BOOK
11
ANALYTICAL FOUNDATIONS
15
22 PRODUCTION TECHNOLOGY
18
23 TECHNICAL EFFICIENCY
42
24 ECONOMIC EFFICIENCY
50
25 A GUIDE TO THE LITERATURE
61
53 MULTIPLEOUTPUT MODELS
205
54 ALTERNATIVE PROFIT FRONTIERS
212
55 A GUIDE TO THE LITERATURE
214
THE SHADOW PRICE APPROACH TO THE ESTIMATION AND DECOMPOSITION OF ECONOMIC EFFICIENCY
216
62 CROSSSECTIONAL MODELS
218
63 PANEL DATA MODELS
254
64 A GUIDE TO THE LITERATURE
259
INCORPORATING EXOGENOUS INFLUENCES ON EFFICIENCY
261

THE ESTIMATION OF TECHNICAL EFFICIENCY
63
32 CROSSSECTIONAL PRODUCTION FRONTIER MODELS
64
33 PANEL DATA PRODUCTION FRONTIER MODELS
95
34 STOCHASTIC PRODUCTION FRONTIER MODELS WITH HETEROSKEDASTICITY
115
35 A GUIDE TO THE LITERATURE
130
THE ESTIMATION AND DECOMPOSITION OF COST EFFICIENCY
131
42 CROSSSECTIONAL COST FRONTIER MODELS
136
43 PANEL DATA COST FRONTIER MODELS
166
44 TWO ADDITIONAL APPROACHES TO THE ESTIMATION OF COST EFFICIENCY
175
45 A GUIDE TO THE LITERATURE
182
THE ESTIMATION AND DECOMPOSITION OF PROFIT EFFICIENCY
184
52 SINGLEOUTPUT MODELS
186
72 EARLY APPROACHES TO THE INCORPORATION OF EXOGENOUS INFLUENCES
262
73 RECENT APPROACHES TO THE INCORPORATION OF EXOGENOUS INFLUENCES
266
74 A GUIDE TO THE LITERATURE
277
THE ESTIMATION OF EFFICIENCY CHANGE AND PRODUCTIVITY CHANGE
279
82 THE PRIMAL PRODUCTION FRONTIER APPROACH
281
83 A DUAL COST FRONTIER APPROACH
287
84 A DUAL PROFIT FRONTIER APPROACH
299
85 A GUIDE TO THE LITERATURE
307
REFERENCES
311
AUTHOR INDEX
329
SUBJECT INDEX
332
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Page 312 - Dual Measures of Monopoly and Monopsony Power: An Application to Regulated Electric Utilities," Review of Economics and Statistics 71, 250-57.
Page 312 - Parametric Estimation of Technical and Allocative Inefficiency with Panel Data', International Economic Review, vol. 35, pp. 231-243. Atkinson, SE and Cornwell, C. (1994b), 'Estimation of Output and Input Technical Efficiency Using a Flexible Functional Form and Panel Data', International Economic Review, vol.
Page 312 - Technical Efficiency with Panel Data: A Dual Approach," Journal of Econometrics. 59, pp. 257-262, Atkinson, S. and C. Cornwell (1994), "Parametric Estimation of Technical and Allocative Inefficiency with Panel Data," International Economic Review, 35, pp.

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About the author (2003)

Subal C. Kumbhakar is a distinguished research professor at the State University of New York, Binghamton. He specializes in productivity and efficiency analysis, with particular emphasis on the theory and application of stochastic frontier (SF) models. He has developed numerous SF models for both cross-sectional and panel models in a single-equation set-up, as well as in a set-up with simultaneous equations. He is co-editor of Empirical Economics and guest editor of special issues of the Journal of Econometrics, Empirical Economics, the Journal of Productivity Analysis, and the Indian Economic Review. He is associate editor and editorial board member of Technological Forecasting and Social Change: An International Journal, the Journal of Productivity Analysis, the International Journal of Business and Economics, and Macroeconomics and Finance in Emerging Market Economies. He is also the co-author of Stochastic Frontier Analysis (Cambridge, 2000).

C. A. Knox Lovell is Honorary Professor with the Centre for Efficiency and Productivity Analysis in the School of Economics at the University of Queensland. He served as editor-in-chief of the Journal of Productivity Analysis for a decade. He has authored several books, including Production Frontiers (with Fare and Grosskopf) and Stochastic Frontier Analysis (with Kumbhakhar) for Cambridge University Press.

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