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Necessary and sufficient conditions for the equality of ordinary least squares and generalized least squares estimators in the linear regression model with firstorder spatial error processes are given.
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In the presence of heteroskedasticity, conventional test statistics based on the ordinary least square estimator lead to incorrect inference results for the linear regression model. Given that heteroskedasticity is common in cross-sectional data, the test statistics based on various forms of...
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The aim of this paper is to define and test local versions of standard correlation coefficients in statistical analysis … methods is still an open field for basic research. In this paper a local version of Pearson correlation coefficient is defined … correlation among two variables representing spatial data in the absence of a global correlation and vice versa. The application …
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correlated shocks from spatial correlation in outcomes due to contagion (spillovers) between units. The applied researcher …
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