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On Evaluating the Importance of Nonlinearity in Large Macroeconometric Models

  • Fisher, Paul
  • Salmon, Mark

Most model builders continue to treat their models as deterministic when forecasting, despite the fact that these models are composed of equations which are stochastic in nature. Deterministic solution methods ignore the stochastic information on the model structure and in addition produce biased forecasts in non-linear models. It is therefore important to investigate whether a given model is significantly non-linear. After commenting on the poor simulation methodology employed in a number of earlier studies, we find significant non-linear effects in two large macro models of the United Kingdom economy. This is confirmed by two tests that we propose for assessing the importance of non-linearity in such models.

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Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.

Volume (Year): 27 (1986)
Issue (Month): 3 (October)
Pages: 625-46

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Handle: RePEc:ier:iecrev:v:27:y:1986:i:3:p:625-46
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