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New Approach in Sfa Estimation for Addressing Joint Assumption Violation of Heteroscedasticity and Multicollinearity

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Principal Component Analysis for Special Types of Data
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Outlier-Induced Collinearities
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A Simulation Study of Some Ridge Estimators
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Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity
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Performance of Some New Ridge Regression Estimators
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Statistical Theories of Discrimination in Labor Markets
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Principal Components Regression With Data Chosen Components and Related Methods
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A solution for multicollinearity in stochastic frontier production function models
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Handling Endogeneity in Stochastic Frontier Analysis
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A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
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Interpreting Heteroscedasticity
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A Note on the Use of Principal Components in Regression
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Different Forms Biasing Parameter for Generalized Ridge Regression Estimator
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Different Forms Biasing Parameter for Generalized Ridge Regression Estimator
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