Measuring the degree of severity of heteroskedasticity and the choice between the ols estimator and the 2sae

Author:

Senyo B,Adjibolosoo S. K.

Publisher

Informa UK Limited

Subject

Statistics and Probability

Reference17 articles.

1. Adjibolosoo, B. S. K. 1988. “Smoothing the Pretest Estimator: A Monte Carlo Study for Heteroskedasticity”. Unpublished Ph.D Dissertation, Dept. of Economics, Simon Fraser University, Burnaby

2. A Simple Test for Heteroscedasticity and Random Coefficient Variation

3. The Robustness of Some Standard Tests for Autocorrelation and Heteroskedasticity when Both Problems Are Present

4. Goldfeld, S. M. and Quandt, R. E. 1972. “Nonlinear Methods in Econometrics”. Amsterdam, North-Holland

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1. A nonparametric measure of heteroskedasticity;Journal of Statistical Planning and Inference;2021-05

2. PRE-TEST ESTIMATION AND TESTING IN ECONOMETRICS: RECENT DEVELOPMENTS;Journal of Economic Surveys;1993-06

3. The power and robustness properties of tests for heteroskedasticity when the regressors are trended;Communications in Statistics - Simulation and Computation;1991-01

4. A procedure foe improving upon the performance of the traditional heteroskedast1c1ty pretest estimator;Communications in Statistics - Theory and Methods;1990-01

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