Statistical inference for aggregates of Farrell-type efficiencies

Simar, Léopold;Zelenyuk, Valentin
(2003) , 27 pages

Files

STATdp0324.pdf
  • Open Access
  • Adobe PDF
  • 156.47 KB
Download

Details

Authors
  • Simar, LéopoldUCLouvain
    Author
  • Zelenyuk, ValentinNational University Kyiv-Mohyla Academy
    Author
Abstract
In this study, we merge results of two recent directions in efficiency analysis research—the Aggregation and the Bootstrap—applied, as an example, to one of the most popular point-estimators of individual efficiency: the Data Envelopment Analysis (DEA) estimator. A natural context of the methodology developed here is a study of efficiency of a particular economic system (e.g., an industry) as a whole, or a comparison of efficiencies of distinct groups within such a system (e.g., private vs. public or regulated vs. non-regulated firms, etc). Our methodology is justified by the (neo-classical) economic theory and is supported by carefully a dapted statistical methods.
Affiliations

Citations

  • APA
  • Chicago
  • FWB

Simar, L., & Zelenyuk, V. (2003). Statistical inference for aggregates of Farrell-type efficiencies (STAT Discussion Papers 0324). https://hdl.handle.net/2078.5/34755