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Rise and Fall of Business Firms: A Stochastic Framework on Innovation, Creative Destruction and Growth
Publisher:
S. V. Buldyrev | F. Pammolli |M. Riccaboni | H. E. Stanley
| Author:
Cambridge University Press
| Language:
English
| Format:
Hardback
Publisher:
S. V. Buldyrev | F. Pammolli |M. Riccaboni | H. E. Stanley
Author:
Cambridge University Press
Language:
English
Format:
Hardback
Original price was: ₹5,405.₹5,404Current price is: ₹5,404.
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ISBN:
Page Extent:
238
At the intersection between statistical physics and rigorous econometric analysis, this powerful new framework sheds light on how innovation and competition shape the growth and decline of companies and industries. Analyzing various sources of data including a unique micro level database which collects historic data on the sales of more than 3,000 firms and 50,000 products in 20 countries, the authors introduce and test a model of innovation and proportional growth, which relies on minimal assumptions and accounts for the empirically observed regularities. Through a combination of extensive stochastic simulations and statistical tests, the authors investigate to what extent their simple assumptions are falsified by empirically observable facts. Physicists looking for application of their mathematical and modelling skills to relevant economic problems as well as economists interested in the explorative analysis of extensive data sets and in a physics-orientated way of thinking will find this book a key reference.
Description
At the intersection between statistical physics and rigorous econometric analysis, this powerful new framework sheds light on how innovation and competition shape the growth and decline of companies and industries. Analyzing various sources of data including a unique micro level database which collects historic data on the sales of more than 3,000 firms and 50,000 products in 20 countries, the authors introduce and test a model of innovation and proportional growth, which relies on minimal assumptions and accounts for the empirically observed regularities. Through a combination of extensive stochastic simulations and statistical tests, the authors investigate to what extent their simple assumptions are falsified by empirically observable facts. Physicists looking for application of their mathematical and modelling skills to relevant economic problems as well as economists interested in the explorative analysis of extensive data sets and in a physics-orientated way of thinking will find this book a key reference.
About Author
S. V. Buldyrev is Professor of Physics at Yeshiva University. His research interests span theoretical and computational statistical physics and its applications to various complex systems, physical chemistry, material science and biological physics.
F. Pammolli is Professor of Economics and Management at Politecnico di Milano. He served as the Founding Rector of the IMT School for Advanced Studies and is currently a member of the Investment committee of the European Fund for Strategic Investments at the European Investment Bank in Luxembourg. His research interests span the analysis of a variety of complex industrial and technological systems, with particular reference to pharmaceuticals and the life sciences.
M. Riccaboni is Professor of Economics and Director of the Ph.D. Track in Economics, Networks and Business Analytics at the IMT School for Advanced Studies Lucca. His current research focuses on industrial organization, network analysis and the economics of innovation, with particular reference to the life sciences.
H. E. Stanley is William Fairfield Warren Distinguished Professor and Director of the Center for Polymer Studies at Boston University. He is one of the founding fathers of econophysics, a pioneer of interdisciplinary science and has made seminal contributions to the field of statistical physics. He is a member of the US National Academy of Sciences and a recipient of numerous awards throughout his career.
F. Pammolli is Professor of Economics and Management at Politecnico di Milano. He served as the Founding Rector of the IMT School for Advanced Studies and is currently a member of the Investment committee of the European Fund for Strategic Investments at the European Investment Bank in Luxembourg. His research interests span the analysis of a variety of complex industrial and technological systems, with particular reference to pharmaceuticals and the life sciences.
M. Riccaboni is Professor of Economics and Director of the Ph.D. Track in Economics, Networks and Business Analytics at the IMT School for Advanced Studies Lucca. His current research focuses on industrial organization, network analysis and the economics of innovation, with particular reference to the life sciences.
H. E. Stanley is William Fairfield Warren Distinguished Professor and Director of the Center for Polymer Studies at Boston University. He is one of the founding fathers of econophysics, a pioneer of interdisciplinary science and has made seminal contributions to the field of statistical physics. He is a member of the US National Academy of Sciences and a recipient of numerous awards throughout his career.
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