ISSN:
1573-0441
Schlagwort(e):
Bootstrap
;
Data Envelopment Analysis
;
fixed and random effects
;
Malmquist index
;
productivity measurement
;
small sample
;
panel data
Quelle:
Springer Online Journal Archives 1860-2000
Thema:
Wirtschaftswissenschaften
Notizen:
Abstract This paper provides a bootstrap methodology for constructing confidence intervals for means of DEA and econometrically estimated efficiency scores, Malmquist productivity indices, and other similar measures in small samples. The procedure is nonparametric since no distributional assumptions are required. An empirical example is provided.
Materialart:
Digitale Medien
URL:
http://dx.doi.org/10.1007/BF01073408
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