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In this paper we give an account of the approach to nonlinear econometric modelling proposed by Hamilton (2001) and briefly describe some of the methods of nonlinear optimization that may be used in the Gauss computer program provided by Hamilton for the implementation of his methodology. The...
Persistent link: https://www.econbiz.de/10014620931
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.
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In this paper we give an account of the approach to nonlinear econometric modelling proposed by Hamilton (2001) and briefly describe some of the methods of nonlinear optimization that may be used in the Gauss computer program provided by Hamilton for the implementation of his methodology. The...
Persistent link: https://www.econbiz.de/10004966170
In this paper we give an account of the approach to nonlinear econometric modelling proposed by Hamilton (2001) and briefly describe some of the methods of nonlinear optimization that may be used in the Gauss computer program provided by Hamilton for the implementation of his methodology. The...
Persistent link: https://www.econbiz.de/10005579853