EconPapers    
Economics at your fingertips  
 

Estimation of Scale Economies Underlying Growth and Productivity: The Empirical Implications of Data Aggregation

Catherine Morrison Paul and Donald Siegel ()

Southern Economic Journal, 1999, vol. 65, issue 4, 739-756

Abstract: Estimation of scale economies underlying growth and productivity patterns is typically based on aggregated data, raising questions about the potential for aggregation biases. This paper provides empirical evidence on the existence and patterns of such biases. We use a cost-based model to estimate short/long-run and internal/external scale effects for U.S. manufacturing data at different aggregation levels. Our results suggest that aggregation biases in such a model are not substantive. Also, internal scale economies seem more appropriately represented by the aggregate data, whereas more disaggregated data appears preferable for estimation of external or spillover effects that occur between industries or sectors.

Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:sej:ancoec:v:65:4:y:1999:p:739-756

Access Statistics for this article

Southern Economic Journal is currently edited by Laura Razzolini

More articles in Southern Economic Journal from Southern Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Laura Razzolini (). This e-mail address is bad, please contact .

 
Page updated 2019-09-16
Handle: RePEc:sej:ancoec:v:65:4:y:1999:p:739-756