Exploring nonlinearity with random field regression

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Title: Exploring nonlinearity with random field regression
Authors: Bond, D. (Derek)
Harrison, Michael J.
O'Brien, Edward J. (Edward Joseph)
Permanent link: http://hdl.handle.net/10197/1321
Date: Nov-2007
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.
Type of material: Working Paper
Publisher: University College Dublin. School of Economics
Series/Report no.: UCD Centre for Economic Research Working Paper Series; WP07/17
Subject LCSH: Random fields
Regression analysis
Economics--Mathematical models
Other versions: http://www.ucd.ie/economics/research/papers/2007/WP07.17.pdf
Language: en
Status of Item: Not peer reviewed
Appears in Collections:Economics Working Papers & Policy Papers

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