Giorgetti, Maria Letizia (2001) Quantile regression in lower bound estimation. EI (29). Suntory and Toyota International Centres for Economics and Related Disciplines, London, UK.
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Abstract
In 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.
| Item Type: | Monograph (Discussion Paper) |
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| Official URL: | http://sticerd.lse.ac.uk |
| Additional Information: | © 2001 Maria Letizia Giorgetti |
| Divisions: | STICERD |
| Subjects: | H Social Sciences > HB Economic Theory |
| JEL classification: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C13 - Estimation L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L11 - Production, Pricing, and Market Structure; Size Distribution of Firms |
| Date Deposited: | 09 Jul 2008 07:39 |
| Last Modified: | 13 Sep 2024 19:45 |
| URI: | http://eprints.lse.ac.uk/id/eprint/6746 |
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