Exploring nonlinearity with random field regression
Random field regression models provide an extremely flexible way to investigate nonlinearity in economic data. This article introduces a new approach to interpreting such models, which may allow for improved inference about the possible parametric specification of nonlinearity.
Year of publication: |
2010
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Authors: | Bond, Derek ; Harrison, Michael J. ; O'Brien, Edward J. |
Published in: |
Applied Economics Letters. - Taylor & Francis Journals, ISSN 1350-4851. - Vol. 17.2010, 2, p. 121-124
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Publisher: |
Taylor & Francis Journals |
Saved in:
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