Inference on the Sources of Innovative Inefficiency Using Data Envelope Analysis and Semi-Parametric Bootstrapping

27 Pages Posted: 29 May 2008

Date Written: December 1, 2007

Abstract

Using the US states plus the District of Columbia, output-oriented innovative efficiency scores are computed using data envelope analysis (DEA) where total patent counts serve as the measure of innovative output and industry and academic research and development expenditures, and numbers of research scientists, graduate students, and postdoctoral positions are inputs. In the second stage the extent to which state and local government fiscal policy explain the estimated inefficiency is considered. Using a truncated regression model where parameter inference is based on semi-parametric bootstrapping, our results indicate that reducing government administration expenditure share, increasing total education expenditure share, and reducing the share of revenues collected from institutions of higher learning all correlate with greater efficiency.

Keywords: Innovative Efficiency, Patents, Bootstrapping

JEL Classification: C14, H7, O3

Suggested Citation

Monchuk, Daniel, Inference on the Sources of Innovative Inefficiency Using Data Envelope Analysis and Semi-Parametric Bootstrapping (December 1, 2007). Available at SSRN: https://ssrn.com/abstract=1138359 or http://dx.doi.org/10.2139/ssrn.1138359

Daniel Monchuk (Contact Author)

World Bank ( email )

1818 H Street, NW
Washington, DC 20433
United States

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