Lower Bound Estimation - Quantile Regression and Simplex Method : An Application to Italian Manufacturing Sectors

This paper estimates Sutton's lower bound [1991, 1998] by quantile regression, and thus shows the influence of outliers on previous estimates that used the simplex method. The lower bound estimates are obtained separately for exogenous and endogenous sunk cost industries in Italian manufacturing sectors in 1995, using microdata from the SCI'95 (Firms Accounts System) survey conducted by ISTAT (National Institute of Statistics, Italy). The results suggest that Sutton's predictions are robust

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Year of publication:	2003
Authors:	Giorgetti, Maria Letizia
Publisher:	[S.l.] : SSRN
Subject:	Industrie \| Manufacturing industries \| Italien \| Italy \| Regressionsanalyse \| Regression analysis \| Schätzung \| Estimation \| Schätztheorie \| Estimation theory \| Mathematische Optimierung \| Mathematical programming

Extent:	1 Online-Ressource (8 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: Journal of Industrial Economics, Vol. 51, pp. 113-120, March 2003
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014080306