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Exploring nonlinearity with random field regression

Derek Bond (), Michael J. Harrison and Edward O'Brien

Applied Economics Letters, 2010, vol. 17, issue 2, 121-124

Abstract: 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.

Date: 2010
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Working Paper: Exploring nonlinearity with random field regression (2007) Downloads
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DOI: 10.1080/13504850701720080

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