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Exploring nonlinearity with random field regression

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

No 200717, Working Papers from School of Economics, University College Dublin

Abstract: Random field regression models provide an extremely flexible way to investigate nonlinearity in economic data. This paper introduces a new approach to interpreting such models, which may allow for improved inference about the possible parametric specification of nonlinearity.

Keywords: Random fields; Regression analysis; Economics--Mathematical models (search for similar items in EconPapers)
Date: 2007-11
New Economics Papers: this item is included in nep-ecm
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http://hdl.handle.net/10197/1321 First version, 2007 (application/pdf)

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Journal Article: Exploring nonlinearity with random field regression (2010) Downloads
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