Simar, Léopold
[UCL]
Zelenyuk, Valentin
(eng)
Applied researchers in the field of efficiency and productivity analysis often
need to estimate and make inference about aggregate efficiency, such as industry efficiency
or aggregate efficiency of a group of distinct firms within an industry (e.g., public versus
private firms, regulated versus unregulated firms, etc.). While there are approaches
to obtain point estimates for such important measures, no asymptotic theory has been
derived for it. This is the gap in the literature we fill with this paper. Specifically, we
develop full asymptotic theory for aggregate efficiency measures when the individual true
efficiency scores being aggregated are observed as well as when they are unobserved and
estimated via the data envelopment analysis or the free disposal hull. As a result, the
developed theory opens a path for more accurate and theoretically better grounded statistical
inference (e.g., estimation of confidence intervals and conducting
| Bibliographic reference |
Simar, Léopold ; Zelenyuk, Valentin. Central Limit Theorems for Aggregate Efficiency. In: Operations Research, Vol. 66, no. 1, p. 137-149 (2018) |
| Permanent URL |
http://hdl.handle.net/2078.1/187202 |
