R&D spillovers and productivity: Evidence from U.S. manufacturing microdata

Bart Los and Bart Verspagen

Empirical Economics, 2000, vol. 25, issue 1, 127-148

Abstract: This paper deals with the estimation of the impact of technology spillovers on productivity at the firm level. Panel data for American manufacturing firms on sales, physical capital inputs, employment and R&D investments are linked to R&D data by industry. The latter data are used to construct four different sets of `indirect' R&D stocks, representing technology obtained through spillovers. The differences between two distinct kinds of spillovers are stressed. Cointegration analysis is introduced into production function estimation. Spillovers are found to have significant positive effects on productivity, although their magnitudes differ between high-tech, medium-tech and low-tech firms.

Keywords: R&D spillovers; productivity; production functions; enterprise data (search for similar items in EconPapers)
JEL-codes: D24 O30 O31 O34 (search for similar items in EconPapers)
Date: 2000-02-14
Note: received: April 1997/final version received: April 1999
References: Add references at CitEc
Citations: View citations in EconPapers (103)

Downloads: (external link)
http://link.springer.de/link/service/journals/00181/papers/0025001/00250127.pdf (application/pdf)
Access to the full text of the articles in this series is restricted

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:empeco:v:25:y:2000:i:1:p:127-148

Ordering information: This journal article can be ordered from
http://www.springer. ... rics/journal/181/PS2

Access Statistics for this article

Empirical Economics is currently edited by Robert M. Kunst, Arthur H.O. van Soest, Bertrand Candelon, Subal C. Kumbhakar and Joakim Westerlund

More articles in Empirical Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().