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  • Search: subject:"Skew Distributions"
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Year of publication
Subject
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Patents 3 Skew Distributions 3 Bewertung 2 Deutschland 2 Erfindung 2 Gebühr 2 Patent 2 Schätzung 2 USA 2 1977 1 Charges 1 Concentration measurement 1 Disparitätsmaß 1 Estimation 1 Evaluation 1 Germany 1 Gibrat's Law 1 IFM method 1 Innovation 1 Invention 1 Konzentrationsmaß 1 Risk 1 Schiefe Wahrscheinlichkeitsverteilung 1 Skew distributions 1 Uncertainty 1 United States 1 asset returns 1 measures of dependence 1 minimum distance estimation 1 skew distributions 1
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Online availability
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Free 3 Undetermined 1
Type of publication
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Book / Working Paper 3 Article 2
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 3 Undetermined 2
Author
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Harhoff, Dietmar 4 Scherer, Frederic M. 3 Vopel, Katrin 3 J, rg Kukies 1 Palmitesta, Paola 1 Provasi, Corrado 1 Scherer, F. M. 1
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Institution
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Zentrum für Europäische Wirtschaftsforschung (ZEW) 1
Published in...
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ZEW Discussion Papers 2 Computational Economics 1 Journal of Evolutionary Economics 1 ZEW discussion papers 1
Source
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RePEc 3 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 5 of 5
Cover Image
Exploring the Tail of Patented Invention Value Distributions
Scherer, Frederic M.; Harhoff, Dietmar; Vopel, Katrin - 1997
We explore the tail of patented invention value distributions by using value estimates obtained directly from patent holders. The paper focuses on those full-term German patents of the application year 1977 which were held by West German and U.S. residents. The most valuable patents in our data...
Persistent link: https://www.econbiz.de/10010297567
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Cover Image
Exploring the Tail of Patented Invention Value Distributions
Scherer, Frederic M.; Harhoff, Dietmar; Vopel, Katrin - Zentrum für Europäische Wirtschaftsforschung (ZEW) - 1997
We explore the tail of patented invention value distributions by using value estimates obtained directly from patent holders. The paper focuses on those full-term German patents of the application year 1977 which were held by West German and U.S. residents. The most valuable patents in our data...
Persistent link: https://www.econbiz.de/10005097700
Saved in:
Cover Image
Exploring the tail of patented invention value distributions
Harhoff, Dietmar; Scherer, Frederic M.; Vopel, Katrin - 1997
We explore the tail of patented invention value distributions by using value estimates obtained directly from patent holders. The paper focuses on those full-term German patents of the application year 1977 which were held by West German and U.S. residents. The most valuable patents in our data...
Persistent link: https://www.econbiz.de/10011440960
Saved in:
Cover Image
Aggregation of Dependent Risks Using the Koehler–Symanowski Copula Function
Palmitesta, Paola; Provasi, Corrado - In: Computational Economics 25 (2005) 1, pp. 189-205
This study examines the Koehler and Symanovski copula function with specific marginals, such as the skew Student-t, the skew generalized secant hyperbolic, and the skew generalized exponential power distributions, in modelling financial returns and measuring dependent risks. The copula function...
Persistent link: https://www.econbiz.de/10005701642
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Cover Image
Uncertainty and the size distribution of rewards from innovation
Scherer, F. M.; Harhoff, Dietmar; J, rg Kukies - In: Journal of Evolutionary Economics 10 (2000) 1, pp. 175-200
Previous research has shown that the distribution of profit outcomes from technological innovations is highly skew. This paper builds upon those detailed findings to ask: what stochastic processes can plausibly be inferred to have generated the observed distributions? After reviewing the...
Persistent link: https://www.econbiz.de/10005622476
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