Central limit theorems and inference for sources of productivity change measured by nonparametric Malmquist indices
type: Item
instance of: scholarly article
title: Central limit theorems and inference for sources of productivity change measured by nonparametric Malmquist indices
zbMATH Open document ID: 1430.62067
author: Léopold Simar
author: Paul W. Wilson
published in: European Journal of Operational Research
publication date: 2019-04-23T00:00:00Z
full work available at URL: view
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62P30
zbMATH DE Number: 7046584
zbMATH Keywords: asymptotic
zbMATH Keywords: DEA
zbMATH Keywords: hypothesis test
zbMATH Keywords: inference
zbMATH Keywords: Malmquist index
describes a project that uses: DEA
MaRDI profile type: Publication
OpenAlex ID: W2915684465
cites work: Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
cites work: Q3428867
cites work: Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non‐parametric, two‐stage models of production
cites work: Fundamentals of production theory
cites work: Q5284109
cites work: Q4054986
cites work: The hyperbolic-oriented efficiency measure as a remedy to infeasibility of super efficiency models
cites work: ASYMPTOTICS AND CONSISTENT BOOTSTRAPS FOR DEA ESTIMATORS IN NONPARAMETRIC FRONTIER MODELS
cites work: WHEN BIAS KILLS THE VARIANCE: CENTRAL LIMIT THEOREMS FOR DEA AND FDH EFFICIENCY SCORES
cites work: Q5656575
cites work: Statistical inference for DEA estimators of directional distances
cites work: Estimating and bootstrapping Malmquist indices
cites work: Dimension reduction in nonparametric models of production
Wikidata QID: Q128321278
DOI: 10.1016/J.EJOR.2019.02.040
description: scientific article; zbMATH DE number 7046584