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Gini regressions and heteroskedasticity
Charpentier, Arthur; Ka, Ndéné; Mussard, Stéphane; … - In: Econometrics : open access journal 7 (2019) 1/4, pp. 1-16
We propose an Aitken estimator for Gini regression. The suggested A -Gini estimator is proven to be a U … least squares and the Gini regression. A Gini-White test is proposed and shows that a better power is obtained compared with …
Persistent link: https://www.econbiz.de/10012025711
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A Gini estimator for regression with autocorrelated errors
Ka, Ndéné; Mussard, Stéphane - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 27 (2023) 1, pp. 83-95
Persistent link: https://www.econbiz.de/10014288860
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Multiple change-point detection in linear regression models via U-statistic type processes
Kapar, Burcu; Pouliot, William - 2013
Persistent link: https://www.econbiz.de/10010257514
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Testing conditional independence via empirical likelihood
Su, Liangjun; White, Halbert - In: Journal of econometrics 182 (2014) 1, pp. 27-44
Persistent link: https://www.econbiz.de/10010497148
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Robust tests for change in intercept and slope in linear regression models with application to manager performance in the mutual fund industry
Pouliot, William - In: Economic modelling 58 (2016), pp. 523-534
Persistent link: https://www.econbiz.de/10011647526
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Linear regression with an estimated regressor : applications to aggregate indicators of economic development
Meng, Lingsheng; Wu, Binzhen; Zhang, Zhaoguo - In: Empirical economics : a journal of the Institute for … 50 (2016) 2, pp. 299-316
Persistent link: https://www.econbiz.de/10011453978
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Will outbreaks increase or reduce income inequality? : the Case of COVID-19
Işık, Esme; Özyılmaz, Ayfer; Toprak, Metin; … - In: Istanbul business research 51 (2022) 2, pp. 583-605
38 countries with different income levels is analyzed with the Artificial Neural Networks (ANN) and Linear Regression (LR …) method. In this context, Gini index values for 2020 were estimated using unemployment, inflation and growth data, which are …
Persistent link: https://www.econbiz.de/10014330304
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Using analysis of Gini (ANOGI) for detecting whether two subsamples represent the same universe : the German Socio-Economic Panel Study (SOEP) experience
Frick, Joachim R.; Goebel, Jan; Schechtman, Edna; … - 2006
A wildly discussed shortcoming of panel surveys is a potential bias arising from selective attrition. Based on data of … the German Socio-Economic Panel Study (SOEP), the authors analyze potential artifacts (level, structure, income inequality …) by comparing results for two independently drawn panel subsamples started in 1984 and 2000. They apply ANOGI (analysis of …
Persistent link: https://www.econbiz.de/10011514641
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Income inequality and economic growth : an analysis using a panel data
Bouincha, Mohamed; Karim, Mohamed - In: International journal of economics and finance 10 (2018) 5, pp. 242-253
Persistent link: https://www.econbiz.de/10011862047