PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

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• Agostinelli, C., & Markatou M. (1998). A one-step robust estimator for regression based on the weighted likelihood reweighting scheme. Statistics & Probability Letters, 37(4), 341-350. https://doi.org/10.1016/S0167-7152(97)00136-3

• Aquaro, M., & Čížek, P. (2013). One-step robust estimation of fixed-effects panel data models. Computational Statistics and Data Analysis, 57, 536-548. https://doi.org/10.1016/j.csda.2012.07.003

• Bakar, N. M. A., & Midi, H. (2015). Robust centering in the fixed effect panel data model. Pakistan Journal of Statistics, 31(1), 33-48.

• Baltagi, B. H. (2005). Econometric Analysis of Panel Data (3rd Ed.). John Wiley & Sons Inc.

• Beyaztas, B. H., & Bandyopadhyay, S. (2020). Robust estimation for linear panel data models. Statistics in Medicine, 39(29), 4421-4438. https://doi.org/10.1002/sim.8732

• Bramati, M. C., & Croux C. (2007). Robust estimators for the fixed effects panel data model. Econometrics Journal, 10, 521-540. https://doi.org/10.1111/j.1368-423X.2007.00220.x

• Gujarati, D. (2004). Basic Econometrics (4th Ed.). McGraw-Hill Companies, Inc.

• Hsiao, C. (2003). Analysis of Panel Data (2nd Ed.). Cambridge University Press.

• Hubert, M., & Rousseeuw, P. J. (1997). Robust regression with both continuous and binary regressors. Journal of Statistical Planning and Inference, 57(1), 153-163. https://doi.org/10.1016/S0378-3758(96)00041-9

• Markatou, M., Basu, A., & Lindsay, B. G. (1998). Weighted likelihood equations with bootstrap root search. Journal of the American Statistical Association, 93(442), 740-750. https://doi.org/10.2307/2670124

• Maroona, R. A., & Yohai, V. J. (2000). Robust regression with both continuous and categorical predictors. Journal of Statistical Planning and Inference, 89(1-2), 197-214. https://doi.org/10.1016/S0378-3758(99)00208-6

• Midi, H., & Muhammad, S. (2018). Robust estimation for fixed and random effects panel data models with different centering methods. Journal of Engineering and Applied Sciences, 13(17), 7156-7161.

• Okun, A. M. (1962). Potential GNP, its measurement and significance. https://milescorak.files.wordpress.com/2016/01/okun-potential-gnp-its-measurement-and-significance-p0190.pdf

• Pena, D., & Ruiz-Castillo, J. (1998). The estimation of food expenditures from household budget data in the presence of bulk purchases. Journal of Business & Economic Statistics, 16(3), 292-303. http://dx.doi.org/10.1080/07350015.1998.10524768

• Pena, D., & Yohai, V. J. (1995). The detection of influence subsets in linear regression by using an influence matrix. Journal of the Royal Statistical Society, 57(1), 145-156.

• Pena, D., & Yohai, V. J. (1999). A fast procedure for outlier diagnostics in large regression problems. Journal of the American Statistical Association, 94(446), 434-445. https://doi.org/10.2307/2670164

• Perez, B., Molina, I., & Pena, D. (2013). Outlier detection and robust estimation in linear regression models with fixed group effects. Journal of Statistical Computation and Simulation, 84(12), 2652-2669. https://doi.org/10.1080/00949655.2013.811669

• Víšek, J. Á. (2015). Estimating the model with fixed and random effects by a robust method. Methodology and Computing in Applied Probability, 17, 999-1014. https://doi.org/10.1007/s11009-014-9432-5

• Wagenvoort, R., & Waldmann, R. (2002). On B-robust instrumental variable estimation of the linear model with panel data. Journal of Econometrics, 106(2), 297-324. https://doi.org/10.1016/S0304-4076(01)00102-6