search for: 93seidel_method

...solve your problem the following two pointers might be helpful: 1) Recast your model in the revised form, i.e., include your identity directly into your reaction functions, if possible. 2) For solving your model, you can employ the Gau?-Seidel method (see https://en.wikipedia.org/wiki/Gauss%E2%80%93Seidel_method). This has not only the advantage of generating forecasts, in terms of your exogenous variables, but you can also compute 'dynamic ex post' forecasts. This is probably the most powerful testing for dynamic simultaneous equation systems, given that you provide only your predetermined variabl...

...blem the following two pointers might be helpful: > > 1) Recast your model in the revised form, i.e., include your identity directly into your reaction functions, if possible. > 2) For solving your model, you can employ the Gau?-Seidel method (see https://en.wikipedia.org/wiki/Gauss%E2%80%93Seidel_method). > This has not only the advantage of generating forecasts, in terms of your exogenous variables, but you can also compute 'dynamic ex post' forecasts. This is probably the most powerful testing for dynamic simultaneous equation systems, given that you provide only your predetermined va...

Hello, I have estimated a simultaneous equation model (similar to Klein's model) in R using the system.fit package. I have an identity equation, along with three other equations. Do you know how to explicitly identify the identity equation in R? I am also trying to forecast the dependent variables in the simultaneous equation model, while incorporating the identity equation in the

...blem the following two pointers might be helpful: > > 1) Recast your model in the revised form, i.e., include your identity directly into your reaction functions, if possible. > 2) For solving your model, you can employ the Gau?-Seidel method (see https://en.wikipedia.org/wiki/Gauss%E2%80%93Seidel_method). > This has not only the advantage of generating forecasts, in terms of your exogenous variables, but you can also compute 'dynamic ex post' forecasts. This is probably the most powerful testing for dynamic simultaneous equation systems, given that you provide only your predetermined va...

...lowing two pointers might be helpful: >> >> 1) Recast your model in the revised form, i.e., include your identity directly into your reaction functions, if possible. >> 2) For solving your model, you can employ the Gau?-Seidel method (see https://en.wikipedia.org/wiki/Gauss%E2%80%93Seidel_method). >> This has not only the advantage of generating forecasts, in terms of your exogenous variables, but you can also compute 'dynamic ex post' forecasts. This is probably the most powerful testing for dynamic simultaneous equation systems, given that you provide only your predetermine...