Exploring nonlinearity with random field regression

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 abour the possible parametric specification of nonlinearity.

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Year of publication:	2007
Authors:	Bond, Derek ; Harrison, Michael J. ; O'Brien, Edward J.
Publisher:	Dublin : University College Dublin, UCD School of Economics
Subject:	Mathematik \| Regression \| Nichtlineares Verfahren

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Series:	UCD Centre for Economic Research Working Paper Series ; WP07/17
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	557448204 [GVK] hdl:10419/43312 [Handle] RePEc:ucn:wpaper:200717 [RePEc]
Source:	EconStor

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010272353