SAGE Research Methods - The SAGE Encyclopedia of Social Science Research Methods

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Heteroskedasticity

In: The SAGE Encyclopedia of Social Science Research Methods
Edited by: Michael S. Lewis-Beck, Alan Bryman & Tim Futing Liao

An assumption necessary to prove that the ORDINARY LEAST SQUARES (OLS) estimator is the BEST LINEAR UNBIASED ESTIMATOR (BLUE) is that the variance of the error is ...

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  Lewis-Beck, M. S., Bryman, A., & Futing Liao, T. (2004). Heteroskedasticity. In The SAGE encyclopedia of social science research methods (pp. 459-459). Sage Publications, Inc., https://dx.doi.org/10.4135/9781412950589.n392
  
  Lewis-Beck, Michael S., Alan Bryman, and Tim Futing Liao. "Heteroskedasticity." In The SAGE Encyclopedia of Social Science Research Methods, edited by Lewis-Beck, Michael S., Alan Bryman, and Tim Futing Liao, 459-459. Thousand Oaks, CA: Sage Publications, Inc., 2004. https://dx.doi.org/10.4135/9781412950589.n392.
  
  Lewis-Beck, M. S., Bryman, A. and Futing Liao, T. 2004. Heteroskedasticity. In: Michael S. Lewis-Beck, Alan Bryman and Tim Futing Liao Editors, 2004. The SAGE Encyclopedia of Social Science Research Methods, Thousand Oaks, CA: Sage Publications, Inc. pp. 459 Available at: <https://dx.doi.org/10.4135/9781412950589.n392> [Accessed 30 Jun 2022].
  
  Lewis-Beck, Michael S., et al. "Heteroskedasticity." The SAGE Encyclopedia of Social Science Research Methods. Edited by Thousand Oaks: Sage Publications, Inc., 2004, pp. 459-459. SAGE Research Methods. 30 Jun 2022, doi: https://dx.doi.org/10.4135/9781412950589.n392.
  
  Lewis-Beck, Michael S., Alan BrymanTim Futing Liao (2004). Heteroskedasticity In:Heteroskedasticity The SAGE encyclopedia of social science research methods Thousand Oaks, CA: Sage Publications, Inc.; 2004:459-459. doi:10.4135/9781412950589.n392
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