This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

The Dynamics of Productivity in the Telecommunications Equipment Industry

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Olley, G Steven
Pakes, Ariel
Abstract

Technological change and deregulation have caused a major restructuring telecommunications equipment industry over the last two decades. Our empirical focus is on estimating the parameters of a production function for the equipment industry, and then using those estimates to analyze the evolution of plant-level productivity. The restructuring involved significant entry and exit and large changes in the sizes of incumbents. This generates a selection and a simultaneity problem when estimating production functions. Our theoretical focus is on providing an estimation algorithm which takes explicit account of these issues. We find that our algorithm produces markedly different estimates of production function coefficients than do traditional estimation procedures, and that the productivity increases that followed deregulation were primarily a result of a reallocation of capital towards more productive establishments. Copyright 1996 by The Econometric Society.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://links.jstor.org/sici?sici=0012-9682%28199611%2964%3A6%3C1263%3ATDOPIT%3E2.0.CO%3B2-5&origin=repec
File Format: application/pdf
File Function: full text
Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Econometric Society in its journal Econometrica.

Volume (Year): 64 (1996)
Issue (Month): 6 (November)
Pages: 1263-97
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:ecm:emetrp:v:64:y:1996:i:6:p:1263-97

Contact details of provider:
Phone: 1 212 998 3820
Fax: 1 212 995 4487
Email:
Web page: http://www.econometricsociety.org/
More information through EDIRC

Order Information:
Email:
Web: http://www.blackwellpublishing.com/memb.asp?ref=0012-9682

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

Other versions of this item:

This item is featured on the following reading lists:
  1. Top 1‰ items by number of citations
  2. Top 1‰ items by number of citations weighted by simple impact factors
  3. Top 1‰ items by number of citations weighted by recursive impact factors
  4. Top 1‰ items by number of citations discounted by age
  5. Top 1‰ items by number of citations weighted by simple impact factors and discounted by age
  6. Top 1‰ items by number of citations weighted by recursive impact factors and discounted by age
Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.
Statistics
Access and download statistics

Did you know? IDEAS also computes impact factors for journals and working paper series.

This page was last updated on 2008-4-27.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.