Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

This handbook looks to provide academics and students with a comprehensive and holistic understanding of the phenomenon of innovation. Innovation spans a number of fields within the social sciences and humanities: Management, Economics, Geography, Sociology, Politics, Psychology, and History. Consequently, the rapidly increasing body of literature on innovation is characterized by a multitude of perspectives based on, or cutting across, existing disciplines and specializations. Scholars of innovation can come from such diverse starting points that much of this literature can be missed, and so constructive dialogues missed. The editors of The Oxford Handbook of Innovation have carefully selected and designed twenty-one contributions from leading academic experts within their particular field, each focusing on a specific aspect of innovation. These have been organized into four main sections, the first of which looks at the creation of innovations, with particular focus on firms and networks. Section Two provides an account of the wider systematic setting influencing innovation and the role of institutions and organizations in this context. Section Three explores some of the diversity in the working of innovation over time and across different sectors of the economy, and Section Four focuses on the consequences of innovation with respect to economic growth, international competitiveness, and employment. An introductory overview, concluding remarks, and guide to further reading for each chapter, make this handbook a key introduction and vital reference work for researchers, academics, and advanced students of innovation. Contributors to this volume - Jan Fagerberg, University of Oslo William Lazonick, INSEAD Walter W. Powell, Stanford University Keith Pavitt, SPRU Alice Lam, Brunel University Keith Smith, INTECH Charles Edquist, Linkoping David Mowery, University of California, Berkeley Mary O'Sullivan, INSEAD Ove Granstrand, Chalmers Bjorn Asheim, University of Lund Rajneesh Narula, Copenhagen Business School Antonello Zanfei, Urbino Kristine Bruland, University of Oslo Franco Malerba, University of Bocconi Nick Von Tunzelmann, SPRU Ian Miles, University of Manchester Bronwyn Hall, University of California, Berkeley Bart Verspagen , ECIS Francisco Louca, ISEG Manuel M. Godinho, ISEG Richard R. Nelson, Mario Pianta, Urbino Bengt-Ake Lundvall, Aalborg

The Oxford Handbook of Innovation

https://www.diw.de/documents/dokumentenarchiv/17/42164/2004-327-V01.pdf

Cooperative R&D and firm performance

NBER WORKING PAPER SERIESINNOVATION AND PRODUCTIVITY ACROSS FOUR EUROPEAN COUNTRIESRachel GriffithElena HuergoJacques MairesseBettina PetersWorking Paper 12722http://www.nber.org/papers/w12722NATIONAL BUREAU OF ECONOMIC RESEARCH1050 Massachusetts AvenueCambridge, MA 02138December 2006We would like to thank Laura Abramovsky, Manuel Arellano, Rupert Harrison, Jordi Jaumandreu,Elizabeth Kremp, Pierre Mohnen, Helen Simpson. The analysis contained in this paper was fundedby the European Commission, the ESRC and ESF under grant RES-000-23-0901 and the AdvancedInstitute of Management Research (AIM). All errors and omissions remain the responsibility of theauthors. The views expressed herein are those of the author(s) and do not necessarily reflect the viewsof the National Bureau of Economic Research.© 2006 by Rachel Griffith, Elena Huergo, Jacques Mairesse, and Bettina Peters. All rights reserved.Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission providedthat full credit, including © notice, is given to the source.

/pdf/innovation-and-productivity-across-four-european-countries-45qbru6gv7.pdf

Innovation and Productivity across Four European Countries

http://homepages.ulb.ac.be/~mcincera/INIR2003/lokshin.pdf

Heterogeneity in R&D cooperation strategies

Recent studies have documented extensive heterogeneity in firm performance within countries, and innovation has been found as an important determinant. This paper addresses the issue of innovation firm performance across countries. A growing number of national firm level studies on the innovation-productivity link have been conducted using new internationally harmonized survey data, known in Europe as Community Innovation Survey (CIS). Mainly due to confidentiality reasons cross-country comparisons of CIS data are still rare. The contribution of this paper is its unique approach of pooling original firm observations from Germany and Sweden. Applying a knowledge production function that gives the relationship between innovation input, innovation output and productivity, we find to a very large extent a common cross-country story for knowledge intensive manufacturing firms. Some interesting country-specific effects are reported as well.

/pdf/firm-level-innovation-and-productivity-is-there-a-common-3r6qzvjf71.pdf

Firm Level Innovation and Productivity - is There a Common Story Across Countries?

Using firm level data from five countries - Brazil, Ecuador, South Africa, Tanzania and Bangladesh - this paper examines the knowledge-based determinants of productivity of firms active in food processing, textiles, and garments and leather products. In particular, it seeks to investigate the importance of various sources of knowledge in explaining productivity in the different industries. The knowledge sources driving productivity performance are very different across sectors. In food processing, firm productivity is most strongly affected by quality of management and foreign ownership linkages. In textiles, firms raise productivity levels by importing new machinery and through research and development. In garments and leather products, R&D and design activities, high quality management and licensing technology from foreign firms are significant productivity determinants. Firms' productivity levels are further depressed by regulatory and financial constraints.

/pdf/knowledge-based-productivity-in-low-tech-industries-evidence-55269lxwbb.pdf

Knowledge-based productivity in ‘low-tech’ industries: evidence from firms in developing countries

Using cross-sectional firm-level data, this paper examines the determinants of productivity among manufacturing firms in Tanzania. In particular, it seeks to evaluate the relative importance of technological advances and the business environment in which firms operate in affecting productivity. Of the technological variables, RD only foreign ownership, ISO certification and higher education of the management appear to affect productivity. Some important influences from the broader business environment, however, appear to affect productivity and are robust to different specifications of the model. Credit constraints, administrative regulatory burdens and a lack of business support services depress productivity; membership of a business association is associated with higher productivity.

https://link.springer.com/content/pdf/10.1080%2F09578810802060785.pdf

What drives productivity in Tanzanian manufacturing firms: technology or business environment?

In this paper we analyse the relationship between export and innovation activities of German service sector companies using data from the 1997 wave of the Mannheim Innovation Panel in the Service Sector. There is a lot of support for the Schumpeterian hypothesis of export activities being mainly driven by innovation activities. Factor endowment theories are only partially supported. While human capital significantly improves export performance, labour costs hamper it only in selected branches. Moreover, allowing for simultaneity we find that export activities do not enforce innovation activities.

/pdf/export-and-innovation-activities-in-the-german-service-2gvwx9u8x2.pdf

Norbert Janz

Papers

Firm Level Innovation and Productivity - is There a Common Story Across Countries?

Knowledge-based productivity in ‘low-tech’ industries: evidence from firms in developing countries

What drives productivity in Tanzanian manufacturing firms: technology or business environment?

Export and Innovation Activities in the German Service Sector Empirical Evidence at the Firm Level

Innovation and Productivity in German and Swedish Manufacturing Firms : Is there a common story?