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  3. Input-Output Analysis
  • Cited by 2144
Publisher:
Cambridge University Press
Online publication date:
June 2012
Print publication year:
2009
Online ISBN:
9780511626982
DOI:
https://doi.org/10.1017/CBO9780511626982
Subjects:
Economics, Econometrics and Mathematical Methods, Statistics for Econometrics, Finance and Insurance, Statistics and Probability
Information

Book description

This edition of Ronald Miller and Peter Blair's classic textbook is an essential reference for students and scholars in the input-output research and applications community. The book has been fully revised and updated to reflect important developments in the field since its original publication. New topics covered include SAMs (and extended input-output models) and their connection to input-output data, structural decomposition analysis (SDA), multiplier decompositions, identifying important coefficients, and international input-output models. A major new feature of this edition is that it is also supported by an accompanying website with solutions to all problems, wide-ranging real-world data sets, and appendices with further information for more advanced readers. Input-Output Analysis is an ideal introduction to the subject for advanced undergraduate and graduate students in a wide variety of fields, including economics, regional science, regional economics, city, regional and urban planning, environmental planning, public policy analysis and public management.

Reviews

'Generations of scholars and practitioners in input-output grew up with Miller and Blair (MB). The last generation had to learn the trade using a worn out copy from the library or a thumbed xerox copy of a xerox copy of MB. With the new version, MB2, input-output seems well equipped for future generations. […] MB has been THE input-output textbook for the past decades. I anticipate that MB2 will be THE textbook in input-output for many decades to come.'

Erik Dietzenbacher - University of Groningen

'Miller and Blair have done a great service by updating and expanding their important book. The long-anticipated second edition is remarkably comprehensive. No other source is so thorough, clear, and authoritative. Input-Output Analysis is both text book and indispensable reference work. Beginners will start with the fundamentals of the model, including theory, algebra, and data issues. Experts will realize how much more there is to learn and be directed, via ample references, to journal articles and advanced books. If they study this book, skilled practitioners and consultants who do economic impact studies will avoid logical errors and nonsensical results.’

Andrew Isserman - University of Illinois at Urbana-Champaign

'The new edition of Miller and Blair’s superb volume on input-output analysis covers much of the same ground as the first edition but in even greater depth. The chapters on energy and environmental input-output analysis have been significantly expanded reflecting the heightened interest in environmental/energy-economy interactions. However, new chapters on social accounting matrices build a bridge to analysis of structural decomposition, and lead to links with general equilibrium models. Additional chapters on supply side models, expanded coverage of non-survey methods and mixed and dynamic models provide, in one volume, an impressive intellectual smorgasbord of theory and applications that will serve both the academic community and practitioners.'

Geoffrey Hewings - University of Illinois at Urbana-Champaign

'This long-awaited second edition of Miller and Blair’s Input-Output Analysis: Foundations and Extensions is destined to become a bestseller. They methodically and excellently review in fourteen chapters the basic input-output accounts, and they expand the accounting framework to new energy, environmental, and ecological issues. Readers should grab a copy to learn the basics, but, most importantly, to update their knowledge with the latest accounting concepts, and to learn in each chapter how to apply the accounting basics to sample problems of analysis.'

Karen R. Polenske - Massachusetts Institute of Technology

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