Is Rising Returns to Scale a Figment of Poor Data?
While using detailed firm-level data from the private business sector, this study identifies two empirical puzzles: (i) returns-to-scale (RTS) parameter estimates rise at higher levels of data aggregation, and (ii) estimates from the firm level suggest decreasing returns to scale. The analysis shows that, although consistent with rising estimates, the Basu-Fernald (1997) aggregation-bias effect does not drive this result. Rather, rising and too low returns-to-scale estimates probably reflect a mixture of random errors in factor inputs. It turns out, in fact, that a 7.5-10 percent error in labor (hours worked) can explain both puzzles.
|Date of creation:||01 May 2004|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: 46-(0)8-453 59 00
Fax: 46-(0)8-453 59 80
Web page: http://www.konj.se/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:hhs:nierwp:0091. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Henrik Hellström)
If references are entirely missing, you can add them using this form.