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Profit efficiency and determinants of Indian banks; A truncated bootstrap and data envelopment analysis

Piyush Kumar Singh, +1 more
- 10 Feb 2020 - 
- Vol. 8, Iss: 1, pp 1724242
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TLDR
In this article, the authors applied two-stage data envelopment analysis (DEA) and bootstrap to estimate the Profit Efficiency (PE) and its factors for Indian bank groups.
Abstract
The study applies two-stage data envelopment analysis (DEA) and bootstrap to estimate the Profit Efficiency (PE) and its factors for Indian bank groups. Recognizing the heterogeneity in the bank si...

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References
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Journal ArticleDOI

Measuring the efficiency of decision making units

TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
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Bootstrap Methods: Another Look at the Jackknife

TL;DR: In this article, the authors discuss the problem of estimating the sampling distribution of a pre-specified random variable R(X, F) on the basis of the observed data x.
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Formulation and estimation of stochastic frontier production function models

TL;DR: In this paper, the authors define the disturbance term as the sum of symmetric normal and (negative) half-normal random variables, and consider various aspects of maximum-likelihood estimation for the coefficients of a production function with an additive disturbance term of this sort.
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Efficiency of financial institutions: International survey and directions for future research

TL;DR: The authors survey 130 studies that apply frontier efficiency analysis to financial institutions in 21 countries and find that the various efficiency methods do not necessarily yield consistent results and suggest some ways that these methods might be improved to bring about findings that are more consistent, accurate, and useful.
Journal ArticleDOI

Estimation and inference in two-stage, semi-parametric models of production processes

TL;DR: In this paper, a coherent data-generating process (DGP) is described for nonparametric estimates of productive efficiency on environmental variables in two-stage procedures to account for exogenous factors that might affect firms’ performance.
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