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Social Sciences x Technological Change; Research and Development x Econometric and Statistical Methods and Methodology: General x clear all

Allocation of human capital and innovation at the frontier: firm-level evidence on Germany and the Netherlands

Eric Bartelsman, Sabien Dobbelaere and Bettina Peters.

in Industrial and Corporate Change

October 2015; p ublished online November 2014 .

Journal Article. Subjects: Econometric and Statistical Methods and Methodology: General; Education and Research Institutions; Technological Change; Research and Development; Economic Development. 23755 words.

This article examines how productivity effects of human capital and innovation vary at different points of the conditional productivity distribution. Our analysis draws upon two large...

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Appropriate technology in a Solovian nonlinear growth model

Davide Fiaschi and Andrea Mario Lavezzi.

in Oxford Review of Economic Policy

March 2007; p ublished online January 2007 .

Journal Article. Subjects: Economic Development; Technological Change; Research and Development; Economic Growth and Aggregate Productivity; Econometric and Statistical Methods and Methodology: General; Single Equation Models; Single Variables. 6681 words.

We propose a Solovian growth model with a convex–concave production function and international technological spillovers. We test the empirical implications of the model, analysing the...

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Econometric modelling of the regional knowledge production function in Europe

Sylvie Charlot, Riccardo Crescenzi and Antonio Musolesi.

in Journal of Economic Geography

November 2015; p ublished online October 2014 .

Journal Article. Subjects: Econometric and Statistical Methods and Methodology: General; Urban, Rural, and Regional Economics; Single Equation Models; Single Variables; Technological Change; Research and Development. 13575 words.

By adopting a semiparametric approach, the ‘traditional’ regional knowledge production function is developed in three complementary directions. First, the model is augmented with...

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Government Insurance Program Design, Incentive Effects, and Technology Adoption: The Case of Skip-Row Crop Insurance

Joshua D. Woodard, Alexander D. Pavlista, Gary D. Schnitkey, Paul A. Burgener and Kimberley A. Ward.

in American Journal of Agricultural Economics

July 2012; p ublished online February 2012 .

Journal Article. Subjects: Agricultural, Environmental, and Natural Resource Economics; Technological Change; Research and Development; Econometric and Statistical Methods and Methodology: General; Agricultural Economics; Information, Knowledge, and Uncertainy; Insurance. 8574 words.

Can the availability of poorly-designed government insurance alter technology adoption decisions? A theoretical model of technology adoption and insurance incentive effects for a high- and...

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The great divide in scientific productivity: why the average scientist does not exist

Stijn Kelchtermans and Reinhilde Veugelers.

in Industrial and Corporate Change

February 2011; p ublished online January 2011 .

Journal Article. Subjects: Technological Change; Research and Development; Nonprofit Organizations and Public Enterprise; Econometric and Statistical Methods and Methodology: General; Single Equation Models; Single Variables. 15707 words.

Using a panel of individual researchers at the KU Leuven, Belgium, we analyze the impact of a range of productivity drivers on research performance at the separate quantiles of the...

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R&D efficiency and barriers to entry: a two stage semi-parametric DEA approach

Astrid Cullmann, Jens Schmidt-Ehmcke and Petra Zloczysti.

in Oxford Economic Papers

January 2012; p ublished online April 2011 .

Journal Article. Subjects: Technological Change; Research and Development; Economywide Country Studies; Regulation and Industrial Policy; Econometric and Statistical Methods and Methodology: General; Single Equation Models; Single Variables. 7530 words.

This paper assesses the relative efficiency of knowledge production in the OECD using a nonparametric DEA approach. In general, resources allocated to R&D are limited and therefore must be...

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