Structural vector autoregressive (VAR) models are in frequent use for impulse response analysis, the author states. If cointegrated variables are involved, the corresponding vector error correction models offer a convenient framework for imposing structural long-run and short-run restrictions.
This paper provides evidence showing that collaborative agreements in the IT industry contribute to decrease the R&D intensity of the largest firms. This is particularly true for acquisitions (as opposed to alliances, consortia and joint ventures) and for the mixed agreements (i.e. with a sales, marketing and technological content).
This paper argues that the appropriate concept of R&D
that is required for the Accounts should incorporate a broad range of science-based innovation costs and that this broader R&D concept is amenable to measurement.
This paper evaluates how R&D subsidies to the business sector are typically awarded. The authors identify two sources of ineciency: the selection based on a ranking of individual projects, rather than complete allocations, and the failure to induce competition among applicants in order to extract and use information about the necessary funding.
The authors evaluate the importance of R&D activities for firms decision about location. They use micro-level data for the Portuguese industrial sector and focus on the location choices made by new starting firms during 1992-2000 within 275 municipalities.
This paper makes an estimate of R&D expenditure for different institutional categories in Italian municipalities (University, Public Administration, and Business). The estimated database has been completed with economic variables referring to the individual municipalities.
The main purpose in this paper is to study to what extent accessibility to R&D and human capital can explain patent production. Therefore a knowledge production function is estimated both on aggregated level and for different industrial sectors. The output of the knowledge production is the number patent applications in Swedish municipalities from 1994 to 1999.
This paper presents a model in which public R&D stock is included as a quasi-fixed input in a variable cost function. Its price affects the long run desired level, while its shadow price indicates whether under (over) investment occurs in the short run.
The authors analyze whether technology inducement prizes could be a useful complement to standard research grants and contracts in developing climate change mitigation technologies. Findings indicate that there are important conceptual advantages to using inducement prizes in certain circumstances.
This report details the Presidents fiscal year 2006 budget recommendations for federal R&D. The proposed federal R&D portfolio in FY 2006 is $132.3 billion, just barely an increase of 0.1 percent or $84 million above this year, and far short of the 2.0 percent increase needed to keep pace with expected inflation.