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
UCD Centre for Economic Research Working Paper Series
