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Type: cemmap Working Papers Authors: Peter Robinson ISSN: 1753-9196
Volume, issue, pages: 25 pp.
JEL classification: C21; C22; C29 Keywords: Correlation; heteroscedasticity; Lagrange multiplier tests.
Now published in: Journal of Econometrics [Details]
We provide a general class of tests for correlation in time series, spatial, spatio-temporal and cross-sectional data. We motivate our focus by reviewing how computational and theoretical difficulties of point estimation mount as one moves from regularly-spaced time series data, through forms of irregular spacing, and to spatial data of various kinds. A broad class of computationally simple tests is justiied. These specialize Lagrange multiplier tests against parametric departures of various kinds. Their forms are illustrated in case of several models for describing correlation in various kinds of data. The initial focus assumes homoscedasticity, but we also robustify the tests to nonparametric heteroscedasticity. Search |
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