Quantile Regression in Lower Bound Estimation
AbstractIn this paper, I illustrate the additional information that can be prodivided in estimating the lower bound (Sutton 1991, 1998) by using quantile regression. Quantile regression allows us to invesigate the influence of outliers. Previous lower bound have been performed using the simplex method. In this paper, the lower bound estimates are obtained using both methods for sectors belonging to a 'control group' and sectors belonging to an 'experimental group' forItalian manufacturing sectors in 1995. The data employed are drawn from the ISTAT (National Institute of Statistics, Italy) dataset. The results suggest that Sutton's predictions are robust.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Suntory and Toyota International Centres for Economics and Related Disciplines, LSE in its series STICERD - Economics of Industry Papers with number 29.
Date of creation: Sep 2001
Date of revision:
Contact details of provider:
Web page: http://sticerd.lse.ac.uk/_new/publications/default.asp
Lower bound; quantile regression; simplex.;
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.:
- Roger Koenker & Kevin F. Hallock, 2001.
Journal of Economic Perspectives,
American Economic Association, vol. 15(4), pages 143-156, Fall.
- William Gould, 1993. "Quantile regression with bootstrapped standard errors," Stata Technical Bulletin, StataCorp LP, vol. 2(9).
- Luigi Buzzacchi & Tommaso Valetti, 1999.
"Firm Size Distribution: Testing the "Independent Submarkets Model" in the Italian Motor Insurance Industry,"
STICERD - Economics of Industry Papers
24, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Buzzacchi, Luigi & Valletti, Tommaso M., 2006. "Firm size distribution: Testing the "independent submarkets model" in the Italian motor insurance industry," International Journal of Industrial Organization, Elsevier, vol. 24(4), pages 809-834, July.
- Buzzacchi, Luigi & Valletti, Tommaso, 2002. "Firm Size Distribution: Testing the 'Independent Submarkets Model' in the Italian Motor Insurance Industry," CEPR Discussion Papers 3444, C.E.P.R. Discussion Papers.
- Luigi Buzzacchi & Tommaso Valletti, 1999. "Firm size distribution: testing the "independent submarkets model" in the Italian motor insurance industry," LSE Research Online Documents on Economics 6749, London School of Economics and Political Science, LSE Library.
- Robinson, William T & Chiang, Jeongwen, 1996. "Are Sutton's Predictions Robust?: Empirical Insights into Advertising, R&D, and Concentration," Journal of Industrial Economics, Wiley Blackwell, vol. 44(4), pages 389-408, December.
- Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- John Sutton, 2001. "Rich Trades, Scarce Capabilities: Industrial Development Revisited," STICERD - Economics of Industry Papers 28, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.