Exploring nonlinearity with random field regressionApplied Economic Letters (2010)
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.
Citation InformationDerek Bond, Michael J Harrison and Edward J O'Brien. "Exploring nonlinearity with random field regression" Applied Economic Letters Vol. 17 Iss. 2 (2010)
Available at: http://works.bepress.com/derek_bond/33/