Forecasting Innovations (eBook)

Methods for Predicting Numbers of Patent Filings

Peter Hingley, Marc Nicolas (Herausgeber)

eBook Download: PDF

2006 | 2006
VIII, 268 Seiten
Springer Berlin (Verlag)
978-3-540-35992-0 (ISBN)

Infos

This is a practical guide to solutions for forecasting demand for services and products in international markets - and much more than just a listing of dry theoretical methods. Leading experts present studies on improving methods for forecasting numbers of incoming patent filings at the European Patent Office. These are reviewed by practitioners of the existing methods, revealing that it may not always be wise to trust established regression approaches.

Inhalt

Preface 5
Contents 7
Chapter 1 Background 8
Chapter 2 A research programme for improving forecasts of atent filings 16
Chapter 3 From theory to time series 34
Chapter 4 An assessment of the comparative accuarcy of time series forecasts of patent filings: the benefits of disaggregation in the space or time 48
Chapter 5 Driving forces of patent applications at the European Patent Office: a sectoral approach 80
Chapter 6 Time series methods to recast patent filings 102
Chapter 7 International patenting at the European Patent Office: aggregate, sectoral and family filings 132
Chapter 8 Micro data for macro effects 166
Chapter 9 Improving forecasting methods at the European Patent Office 198
References 254
Name index 262
Index 266

Produkt-Details

• Erscheint lt. Verlag: 23.11.2006
• Zusatzinfo: VIII, 268 p. 24 illus.
• Verlagsort: Berlin
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik
• Themenwelt: Technik
• Themenwelt: Wirtschaft ► Allgemeines / Lexika
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Themenwelt: Wirtschaft ► Volkswirtschaftslehre
• Schlagworte: Econometrics • Forecasting • Innovation • Invention • patents • Regression • Surveys
• ISBN-10: 3-540-35992-3 / 3540359923
• ISBN-13: 978-3-540-35992-0 / 9783540359920