heteroscedasticity

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Related to Heteroscedastic: Homoscedastic

het·er·o·sced·as·tic·i·ty

(het'ĕr-ō-skĕd'as-tis'ĭ-tē),
Nonconstancy of the variance of a measure over the levels of the factor under study.
[hetero + G. skedastikos, pertaining to scattering, fr. skedannumi, to scatter]

heteroscedasticity

an irregular scattering of values in a series of distributions; accompanied by a comparable scatter of variances.
References in periodicals archive ?
of Plants [+] Explanatory Ordinary Heteroscedastic Variables Probit Probit Constant -1.
However, Breen, Jagannathan and Ofer (1986) have shown that employing Equation 7 in the examination of abnormal portfolio returns may result in heteroscedastic error terms.
Sources of Monetary Growth Uncertainty and Economic Activity: The Time-Varying Parameter Model with Heteroscedastic Disturbances," The Review of Economics and Statistics (forthcoming).
As Beatty and Ritter (1986) argue that heteroscedasity may be present in a linear regression model of underpricing, heteroscedasity is tested for and corrected using White's (1980) heteroscedastic consistent covariance matrix.
Using a heteroscedastic 2-tailed t-test, we determined that the combined bilirubin means of the 6/6 and 6/7 samples were significantly different from those of the 7/7 group (P = 0.
To justify our specification of heteroscedasticity in the inflation equation, we test whether the estimated residuals from the ordinary least squares (OLS) are heteroscedastic.
However, the heteroscedastic consistent 't' statistics are consistent for all coefficients for both specifications.
To confirm the existence of polygonal relationships between the body sizes of predators and prey examined in this study, each data set was then tested for heteroscedastic distribution of errors using two tests based on methods used by Terrell et al.
However, the residuals of the model with selectivity are heteroscedastic.
Kim (forthcoming, b) also illustrates that this model of heteroscedasticity is quite similar in practice to the well-known autoregressive conditional heteroscedastic (ARCH) model of Engle (1982).
2~): Functional Form Misspecification Test: This is a very general test for functional form misspecification or heteroscedastic errors.
Since the data set is a pooled cross-section time-series one, we estimate a cross-sectionally heteroscedastic, and time-wise autoregressive model.