Econometric Analysis by Control Methods |
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Page 39
... optimal because the initial value yo , used in the linear approximation for each future period is not the true one , we can improve upon these values by recomputing them in step 1 using the nearly optimal feedback control equations ...
... optimal because the initial value yo , used in the linear approximation for each future period is not the true one , we can improve upon these values by recomputing them in step 1 using the nearly optimal feedback control equations ...
Page 170
... optimal feedback control equation x1 = G1Y1 - 1 + 8 , ( 3 ) which minimize the expectation of the loss function ( 2 ) subject to the constraint of the linear stochastic model . A computer program is available for this purpose , as ...
... optimal feedback control equation x1 = G1Y1 - 1 + 8 , ( 3 ) which minimize the expectation of the loss function ( 2 ) subject to the constraint of the linear stochastic model . A computer program is available for this purpose , as ...
Page 212
... optimal deterministic control problems as we just formulated , with the ... control problems using an econometric model . The algorithms can be divided into ... feedback control equations , that is , x , G , y1 - 1 + g1 , where x , and y ...
... optimal deterministic control problems as we just formulated , with the ... control problems using an econometric model . The algorithms can be divided into ... feedback control equations , that is , x , G , y1 - 1 + g1 , where x , and y ...
Contents
Introduction | 4 |
Econometric Systems | 14 |
The Control of Nonlinear Econometric Systems | 30 |
Copyright | |
16 other sections not shown
Common terms and phrases
a₁ analysis applied asset assumed assumption B₁ Capital stock Chapter Chow coefficients compute constraint consumption control variables covariance matrix derived deterministic deviations dynamic programming econometric model economic elements end-year endogenous variables estimates evaluate exogenous expected loss feedback control equations G₁ Gauss-Siedel given H₁ historical imperfect model industrial inflation rate iteration K₁ k₂ Kalman filtering lagged likelihood function linear model loss function mean paths measure of instability method of dynamic multiperiod objective function obtain optimal control optimal control problem optimal feedback control optimal policy output parameters payoff matrix period policy variables production quadratic function quadratic loss function random disturbances rational expectations reaction functions real GNP reduced form regime respect resulting simulations solution paths solve Soviet SOVMOD step stochastic control stochastic differential equations structural equations target values target variables tion V₁ vector x₁ y₁ y₂ zero ду