7) Consider the following Matlab outputs. Summarize the model, write its equation(s) and comment on the...
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7) Consider the following Matlab outputs. Summarize the model, write its equation(s) and comment on the model: AR-Stationary 2-Dimensional VAR(1) Model Effective Sample Size: 3986 Number of Estimated Parameters: 6 LogLikelihood: -3637.85 AIC: 7287.7 BIC: 7325.45 Value StandardError TStatistic Constant(1) -0.0060108 0.0074575 -0.80601 Constant(2) -0.00048346 0.0068505 -0.070574 8.6969 -2.1599 -2.3311 11.322 AR{1}(1,1) 0.18675 0.021474 AR{1}(2.1) -0.042606 0.019726 AR{1}(1.2) -0.053926 0.023133 AR{1}(2.2) 0.24059 0.02125 Innovations Covariance Matrix: 0.2216 0.1420 0.1420 0.1870 PValue 0.42023 0.94374 3.4109e-18 0.030778 0.019749 1.0235e-29 Innovations Correlation Matrix: 1.0000 0.6976 0.6976 1.0000 7) Consider the following Matlab outputs. Summarize the model, write its equation(s) and comment on the model: AR-Stationary 2-Dimensional VAR(1) Model Effective Sample Size: 3986 Number of Estimated Parameters: 6 LogLikelihood: -3637.85 AIC: 7287.7 BIC: 7325.45 Value StandardError TStatistic Constant(1) -0.0060108 0.0074575 -0.80601 Constant(2) -0.00048346 0.0068505 -0.070574 8.6969 -2.1599 -2.3311 11.322 AR{1}(1,1) 0.18675 0.021474 AR{1}(2.1) -0.042606 0.019726 AR{1}(1.2) -0.053926 0.023133 AR{1}(2.2) 0.24059 0.02125 Innovations Covariance Matrix: 0.2216 0.1420 0.1420 0.1870 PValue 0.42023 0.94374 3.4109e-18 0.030778 0.019749 1.0235e-29 Innovations Correlation Matrix: 1.0000 0.6976 0.6976 1.0000
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This is an ARStationary 2Dimensional VAR1 Model which means that it is a vector autoregression model ... View the full answer
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Stats Data and Models
ISBN: 978-0321986498
4th edition
Authors: Richard D. De Veaux, Paul D. Velleman, David E. Bock
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