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In [[statistics]], the '''White test''' is a [[statistical test]] that establishes whether the [[errors and residuals in statistics|residual]] [[variance]] of a variable in a [[regression model]] is constant: that is for  [[homoscedasticity]].
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This test, and an estimator for [[heteroscedasticity-consistent standard errors]], were proposed by [[Halbert White]] in 1980.<ref>{{cite journal
|last=White |first=H. |authorlink=Halbert White
|year=1980
|title=A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
|journal=[[Econometrica]]
|volume=48 |issue=4 |pages=817&ndash;838
|mr=575027 | jstor = 1912934
}}</ref> These methods have become extremely widely used, making this paper one of the most cited articles in economics.<ref>{{cite journal
|title=What Has Mattered to Economics since 1970
|journal=Journal of Economic Perspectives
|volume=20 |number=4 |year=2006 |pages=189–202
|last1=Kim |first1=E.H.
|last2=Morse |first2=A.
|last3=Zingales |first3=L.
|doi=10.1257/jep.20.4.189
|url=http://faculty.chicagogsb.edu/finance/papers/What%20Has%20Mattered%20to%20Economics%20Since%201970.pdf
}}</ref>
 
==Testing constant variance==
To test for constant variance one undertakes an auxiliary regression analysis: this regresses the squared residuals from the original regression model onto a set of [[regressor]]s that contain the original [[regressor]]s, the cross-products of the regressors and the squared regressors. One then inspects the <math>R^{2}</math>. The [[Lagrange multiplier test|Lagrange multiplier (LM) test]] statistic is the product of the ''R''<sup>2</sup> value and sample size:
:<math>\ LM = n \cdot R^2 .</math>
This follows a [[chi-squared distribution]], with degrees of freedom equal to the number of estimated parameters (in the auxiliary regression).
 
An alternative to the White test is the [[Breusch–Pagan test]].
 
If homoscedasticity is rejected one can use [[heteroscedasticity-consistent standard errors]].
 
==See also==
*[[Heteroscedasticity]]
 
==References==
{{reflist}}
 
[[Category:Statistical tests]]
[[Category:Regression diagnostics]]
 
{{statistics-stub}}

Revision as of 22:01, 28 February 2014

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