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the demand for official programs in Spanish public universities we propose a panel data model (or cross-sectional data). Because of different socioeconomic characteristics observed in national and international students in this study were raised

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study. This paper applies panel data model to verify the four hypotheses. This study explores the influences of the three aspects of patent trait—RTA MIT , RPP MIT , and PS MIT —upon corporate growth. In addition, this study also discusses the moderation

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industry. The sample is obtained from the COMPUSTAT database based on the Standard Industry Classification (SIC) code of the pharmaceutical industry, 2,834. The sample of this study contains 116 American pharmaceutical companies. The panel data of this

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semiconductor companies. The panel data of this study containing patent data and financial data span the period of one decade from 2000 to 2009. Thus, the sample size of the panel data in this study is 660. The financial data of this study are gathered from the

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data of this study are obtained from the COMPUSTAT database and the patent data of this study are gathered from United States Patent and Trademark Office (USPTO). There are 90 American pharmaceutical companies in the sample. The panel data in this study

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pushes the productive sector. Chaves and Moro ( 2007 ) investigated the pattern of S&T interplay for both the national system of innovation (NSI) and the health innovation system. The panel data and simultaneous equations models analyze the interaction

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fluctuations in R&D activities. Thus, we apply the DEA/window model to carry out panel data analysis. The DEA/window model was proposed by Klopp (as cited in Cooper et al. ( 2011 )) and is a representative model that is utilized in time-dependent situations

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innovation and market value: Evidence from Japanese firm level panel data ( IIR Working Paper, WP#05 - 06 ) . Tokyo : Institute of Innovation Research, Hitotsubashi University . Nanba , H. , Fujii , A

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change . Cambridge, MA : Harvard University Press . Peters , B 2009 Persistence of innovation: Stylized facts and panel data evidence . Journal of Technology Transfer 34 2 226

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their average colleague outperforms them (so that they maximise learning)? This cannot be answered with a cross-section (as used in this article); panel data are required to separate cause and effect. Is the ranking of fragile schools (according to the

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