Exploring nonlinearity with random field regression
Derek Bond (),
Michael J. Harrison and
No 200717, Working Papers from School of Economics, University College Dublin
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)
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http://hdl.handle.net/10197/1321 First version, 2007 (application/pdf)
Journal Article: Exploring nonlinearity with random field regression (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:ucn:wpaper:200717
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