MARC details
| 000 -LEADER |
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| fixed length control field |
03282nam a22002777a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
EG-NcFUE |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20260211134237.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251118s2024 ua|a|||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780367346102 |
| 040 ## - CATALOGING SOURCE |
|---|
| Language of cataloging |
eng |
| Description conventions |
rda |
| 043 ## - GEOGRAPHIC AREA CODE |
|---|
| Geographic area code |
ua |
| 082 #4 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
338.0015 |
| Item number |
PAE |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Prokhorov, Artem. |
| Relator term |
AUTHOR. |
| 9 (RLIN) |
34340 |
| 245 1# - TITLE STATEMENT |
|---|
| Title |
Efficiency and Productivity Analysis: |
| Remainder of title |
Using Copulas in Stochastic Frontier Models/ |
| Statement of responsibility, etc |
Artem Prokhorov. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st Edition. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
London: |
| Name of publisher, distributor, etc |
Routledge, |
| Date of publication, distribution, etc |
2024. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
225 pages: |
| Other physical details |
illustrations; |
| Dimensions |
20 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 500 ## - GENERAL NOTE |
|---|
| General note |
This book is an easy-to-understand guide to modeling productivity and efficiency using modern statistical tools. It introduces readers to the fundamentals of stochastic frontier analysis (SFA) and gradually takes them to the forefront of academic research in this area, examining the latest concepts and methods related to the use of copulas in SFA.<br/><br/>Artem Prokhorov is a Professor at the Business School of the University of Sydney, Australia. He is also a Research Fellow at the Centre Interuniversitaire de Recherche en Économie Quantitative (CIREQ) at the University of Montreal, Canada, and a Co-Founder and Academic Advisor of the Center for Econometrics and Business Analytics (CEBA) at St. Petersburg State University, Russia. Professor Prokhorov is a founding member of the International Society for Efficiency and Productivity Analysis (ISEAPA). He holds a Cand Sci degree from St. Petersburg State University and a PhD degree in Economics from Michigan State University.<br/><br/>Following a comprehensive review of classic methodology, Professor Artem Prokhorov covers topics in panel data modeling, in endogeneity in SFA, in joint modeling of technical and allocative inefficiency, and in optimal and robust prediction of inefficiency scores. This is done using copulas to capture various kinds of statistical dependence that have been previously ignored when modeling production. The classic and advanced topics are illustrated using practical examples and codes written in modern programming languages. As an important example, the book spells out the case where both the values of output and the ratio of inputs used in production are optimized simultaneously. Such simultaneity, if ignored, leads to biased estimates of productivity and returns-to-scale and may understate inefficiency.<br/><br/>The book offers a useful reference for those interested in the newest robust methods of business analytics in the area of productivity and efficiency, with implications for strategy, budgeting, resourcing and benchmarking of firms, industries and production units more generally. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. Introduction 2. Basics of Stochastic Frontier Analysis for Cross-Sectional Data 3. Basics of Stochastic Frontier Analysis for Panel Data 4. Copulas for Panel Stochastic Frontier Models 5. Modeling Endogeneity in Stochastic Frontier Models 6. Modeling Dependence in Production Systems 7. Predicting Inefficiency 8. Concluding Remarks |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
qarmk. |
| General subdivision |
Economics -- Mathematical & statistical methods in economics |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
qarmk. |
| General subdivision |
Economics -- Production |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |