逢甲學報, Band 38逢甲大學, 2000 |
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Seite 15
A variance decomposition measures the percentage of a variable's forecast error variance that occurs as a result of a shock from a variable in the system . Consider a cointegrated 3 - variable VAR model with mth order as : ( 6 ) ΔΥ = α ...
A variance decomposition measures the percentage of a variable's forecast error variance that occurs as a result of a shock from a variable in the system . Consider a cointegrated 3 - variable VAR model with mth order as : ( 6 ) ΔΥ = α ...
Seite 21
... Variance decompositions show the proportion of forecast error variance for each variable that attributes to its own innovations and to shocks to the other variables . The variance decompositions ( up to twelve quarters ) for the model ...
... Variance decompositions show the proportion of forecast error variance for each variable that attributes to its own innovations and to shocks to the other variables . The variance decompositions ( up to twelve quarters ) for the model ...
Seite 24
... variance in imports ( 23.43 % and 27.44 % , respectively , up to 12 quarters ) . These results further support our earlier Granger - causality results running from exports and GDP to imports , and these relationships are quite strong ...
... variance in imports ( 23.43 % and 27.44 % , respectively , up to 12 quarters ) . These results further support our earlier Granger - causality results running from exports and GDP to imports , and these relationships are quite strong ...
Inhalt
The Research of Pegging the National Annuity Insurance Premium along | 1 |
Evidence from Taiwan and The | 11 |
The Java Processors to Enhance Execution Performance | 29 |
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active inductor adiabatic B1 for various Biot number bytecodes cast iron roller causality Chill depth chilled gray cast chiller chiller material circuit cointegration computation intensive applications convective instabilities critical Rayleigh number critical wavenumber cut in G(V d-MC candidate decision tree decreases deformably free depth ratio dr economic growth edge(s equation error correction execution Feng Chia University Figure fluid layer fluid-solid interface forecast error variance FPGA free upper surface Granger Granger-causality gray cast iron impulse responses inductance Java Class Library Java Engine Java processor Java programs Java Virtual Machine Journal of Feng k-cut problem Kohm maximal weight maximin cut maximum MESFET min-cut minimax algorithm minimax cut minimax/maximin cut node parameter G Rayleigh number Rc response of exports server shock sublayer surface tension Taiwan Taylor number temperature Theorem thermal conductivity ratio total weight variables variance decompositions vertex viscosity parameter B1 wavenumber ૐ ૐ ૐ