Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis

By Rajiv D. Banker, R. Natarajan. Operational Research, 2008

834 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/f6c5d2b60fb5aeb76e1bcf9a0aff01377c3b89d2

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Citations in the corpus

Differential impact of Korean banking system reforms on bank productivity (2010, methodology): “We first estimate the efficiency of each bank in each year followed by a regression of the estimated efficiency on potential contextual factors to obtain consistent estimators of their impact on the efficiency of banks (Banker and Natarajan, 2008).”
Bank ownership, regulation and efficiency: Perspectives from the Middle East and North Africa (MENA) Region (2017, positive): “In addition, we use the World Bank database on bank regulation and supervision (Barth et al., 2001a, 2004, 2008) and the World Bank’s bank regulation survey (2011) to construct indices relating to capital stringency, restrictions on bank activities, supervisory power and market discipline.”
Evolution of bank efficiency in Brazil: A DEA approach (2010, methodology): “Beck et al. (2005) analyze the reform of state banks in Brazil, evaluating how the choice among privatization, federalization and restructuring was made and assessing the impact of it on bank performance.”
The Value of Investing in Enterprise Risk Management (2015, positive): “In addition, firms with a CRO are correlated with higher levels of cost 10 Banker and Natarajan (2008) determine that OLS is an appropriate and robust technique to evaluate the impact of external variables on efficiency. efficiency.”
Two-stage DEA: caveat emptor (2011, methodology): “BN did not mention in their paper how inference might be made in the second stage, but the on-line appendix (Banker and Natarajan, 2008b; hereafter referred to as BN2) cited in their paper contains a proof of one of the propositions in their paper, and statements in the proof indicate that conventio”
One-stage estimation of the effects of operational conditions and practices on productive performance: asymptotically normal and efficient, root-n consistent StoNEZD method (2011, methodology): “We replicate the data generation process (DGP) considered by Banker and Natarajan (2008) .”
Statistical Tests Based on Dea Efficiency Scores (2011, methodology): “Recently, Gsatch (1998) and Banker and Natarajan (2001) have developed DEA-based estimation procedures for environments characterized by both inefficiency and noise.”
Data envelopment analysis 1978-2010: A citation-based literature survey (2013, background): “SimarW2007 [44] and BankerN2008 [45] both provide statistical foundation for the two-stage analysis approach.”
WHEN BIAS KILLS THE VARIANCE: CENTRAL LIMIT THEOREMS FOR DEA AND FDH EFFICIENCY SCORES (2014, background): “Banker and Natarajan (2008) propose a different statistical model where the second-stage regression is meaningful, but the model is rather restrictive and based on unrealistic assumptions on the production process (see Simar and Wilson, 2011b for details).”