NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

High-Tech Capital Formation and Labor Composition in U.S. Manufacturing Industries: An Exploratory Analysis

Ernst R. Berndt, Catherine J. Morrison, Larry S. Rosenblum

NBER Working Paper No. 4010*
Issued in March 1992
NBER Program(s):   PR

In this paper we report results of an exploratory empirical effort examining relationships between investments in high-tech information technology capital and the distribution of employment, both by occupation and by level of educational attainment. Our data cover the two-digit U.S. manufacturing industries. annually, 1968-86. We find that increases in the high-tech composition of capital (OF/K) are positively related to growth in white collar. non-production worker hours, and that increases in white collar hours account for most of the reduction in aggregate labor productivity associated with increases in high-tech capital. In terms of educational attainment, within the blue collar occupations we find clear evidence in support of skill upgrading toward more educated workers occurring along with increases in OF/K. While point estimates are not very precise, among white collar occupations we find that hours provided by the least and most educated workers increase with OF/K, while hours provided by those with high-school and some college education are adversely affected.

*Published: Journal of Econometrics, vol. 65, no. 1, pp. 9-43, (1994) Annals of Econometrics

You may purchase this paper on-line in .pdf format from SSRN.com ($5) for electronic delivery.

Information about Free Papers

You should expect a free download if you are a subscriber, a corporate associate of the NBER, a journalist, a site with your domain name in ".GOV", or a resident of nearly any developing country or transition economy.

If you usually get free papers at work/university but do not at home, you can either connect to your work VPN or proxy (if any) or elect to have a link to the paper emailed to your work email address below. The email address must be connected to a subscribing college, university, or other subscribing institution. Gmail and other free email addresses will not have access.

E-mail:

Machine-readable bibliographic record - MARC, RIS, BibTeX

 
Publications
Activities
Meetings
Data
People
About

National Bureau of Economic Research, 1050 Massachusetts Ave., Cambridge, MA 02138; 617-868-3900; email: info@nber.org