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Efficient estimation of true fixed-effects stochastic frontier models
Fixed-effects modeling has become the method of choice in several panel data settings, including models for stochastic frontier analysis. A notable...
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Two-tiered stochastic frontier models: a Bayesian perspective
Bayesian methods have been well-studied in single-tiered stochastic frontier literature, but as of yet have not been proposed in a two-tiered...
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Spatial dependence in production frontier models
In recent years, spatial dependence in production frontier models has attracted considerable research attention. This is explained, among other...
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The conditional mode in parametric frontier models
We survey formulations of the conditional mode estimator for technical inefficiency in parametric stochastic frontier models with Normal errors and...
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A note on functional form specification in random coefficients stochastic frontier models
This study presents a random coefficients stochastic frontier model that can accommodate the flexible translog functional form without being...
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Endogeneity in stochastic frontier models with 'wrong' skewness: copula approach without external instruments
Stochastic frontier models commonly assume positive skewness for the inefficiency term. However, when this assumption is violated, efficiency scores...
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Cooperative banks, business models and efficiency: a stochastic frontier approach analysis
Our study examines the relationship between bank business models (BBMs) and the cost and profit efficiency of cooperative banks from fifteen European...
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On hypothesis testing in latent class and finite mixture stochastic frontier models, with application to a contaminated normal-half normal model
Latent class and finite mixture stochastic frontier models have been proposed as a means of allowing either for technological heterogeneity or more...
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Skewness-based test diagnosis of technical inefficiency in spatial autoregressive stochastic frontier models
In the Spatial Autoregressive (SAR) Stochastic Frontier (SF) model, the inefficiency term, which distinguishes it from the SAR model, can capture the...
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“Wrong” skewness and endogenous regressors in stochastic frontier models: an instrument-free copula approach with an application to estimate firm efficiency in Vietnam
Stochastic frontier models commonly assume positively skewed inefficiency. However, if the data speak against this assumption, sample-failure...
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Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models
We use a stochastic frontier analysis (SFA) approach to model the propagation of the COVID-19 epidemic across geographical areas. The proposed models...
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Indirect inference estimation of stochastic production frontier models with skew-normal noise
In this paper we consider a stochastic frontier model in which both the noise and inefficiency components are asymmetric, viz., the noise term is...
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The harms of terminology: why we should reject so-called “frontier AI”
In the mid-2023, promoters of artificial intelligence (AI) as an “existential risk” coined a new term, “frontier AI,” that refers to “highly capable...
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Probabilistic Frontier Regression Models for Count Type Output Data
This paper proposes a Conway-Maxwell-Poisson (COM-Poisson) probabilistic frontier regression model for count type output data addressing the...
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Short-run Johansen frontier-based industry models: methodological refinements and empirical illustration on fisheries
This contribution focuses on extending the current state of the art in a central resource allocation planning model known under the name of the...
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Meta-frontier: literature review and toolkit
Introduced in the 1970s and refined at the beginning of the 2000s, the concept of meta-frontier is now recognized as the most popular operations...
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Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia
This study estimates the technical efficiency measures of maize producing farm households in Ethiopia using stochastic frontier (SF) panel models...
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The trade-off frontier for ESG and Sharpe ratio: a bootstrapped double-frontier data envelopment analysis
The trade-off between the returns and the risks associated with the stocks (i.e., the Sharpe ratio, SR) is an important measure of portfolio...
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LHC lifetime frontier and visible decay searches in composite asymmetric dark matter models
The LHC lifetime frontier will probe dark sector in near future, and the visible decay searches at fixed-target experiments have been exploring dark...
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Endogeneity-corrected stochastic frontier with market imperfections
While the product and labour market imperfections reveal efficiency losses, they may influence technology adoption and its change, raising the...
