| Description |
1 online resource (x, 228 pages) |
| Contents |
Empirical regularities -- Innovation and the growth of business firms : a stochastic framework -- Testing our predictions -- Testing our assumptions |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and indexes |
| Notes |
Description based on print version record and CIP data provided by publisher; resource not viewed |
| Subject |
Economic development -- Mathematical models.
|
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Technological innovations -- Econometric models
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Creative destruction -- Econometric models
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Stochastic processes.
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Commercial statistics.
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Stochastic Processes
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Commercial statistics.
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Economic development -- Mathematical models.
|
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Stochastic processes.
|
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Technological innovations -- Econometric models.
|
| Form |
Electronic book
|
| Author |
Pammolli, Fabio, author
|
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Riccaboni, Massimo, author
|
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Stanley, H. Eugene (Harry Eugene), 1941- author.
|
| LC no. |
2019038230 |
| ISBN |
9781316798539 |
|
1316798534 |
|
