Learning by Doing and Spillovers: Evidence from Firm-Level Panel Data

Learning by Doing and Spillovers: Evidence from Firm-Level Panel Data In this paper we extend the Bahk and Gort (1993) (Journal of Political Economy, 101, 561–583) approach of testing for the impact of learning by doing (LBD) on firm productivity using data on a panel of Spanish manufacturing firms. Specifically, we show that support for firm specific LBD and spillovers from sector-wide LBD seems to hinge crucially on the econometric methodology, and hence the underlying assumptions, employed. Once potential biases due to unobserved time invariant firm specific effects and endogeneity are taken account of, there is only support for spillovers from sector-wide LBD. Moreover, results depend on the definition of LBD employed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Industrial Organization Springer Journals

Learning by Doing and Spillovers: Evidence from Firm-Level Panel Data

Loading next page...
 
/lp/springer_journal/learning-by-doing-and-spillovers-evidence-from-firm-level-panel-data-SCBkLerlVr
Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2004 by Kluwer Academic Publishers
Subject
Economics; Industrial Organization; Microeconomics
ISSN
0889-938X
eISSN
1573-7160
D.O.I.
10.1007/s11151-004-3536-y
Publisher site
See Article on Publisher Site

Abstract

In this paper we extend the Bahk and Gort (1993) (Journal of Political Economy, 101, 561–583) approach of testing for the impact of learning by doing (LBD) on firm productivity using data on a panel of Spanish manufacturing firms. Specifically, we show that support for firm specific LBD and spillovers from sector-wide LBD seems to hinge crucially on the econometric methodology, and hence the underlying assumptions, employed. Once potential biases due to unobserved time invariant firm specific effects and endogeneity are taken account of, there is only support for spillovers from sector-wide LBD. Moreover, results depend on the definition of LBD employed.

Journal

Review of Industrial OrganizationSpringer Journals

Published: Dec 30, 2004

References

  • Another Look at the Instrumental-Variable Estimation of Error Components Models
    Arellano, M.; Bover, O.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve Freelancer

DeepDyve Pro

Price
FREE
$49/month

$360/year
Save searches from Google Scholar, PubMed
Create lists to organize your research
Export lists, citations
Access to DeepDyve database
Abstract access only
Unlimited access to over
18 million full-text articles
Print
20 pages/month
PDF Discount
20% off