Ebook: Control Theory Methods in Economics

Control theory methods in economics have historically developed over three phases. The first involved basically the feedback control rules in a deterministic framework which were applied in macrodynamic models for analyzing stabilization policies. The second phase raised the issues of various types of inconsistencies in deterministic optimal control models due to changing information and other aspects of stochasticity. Rational expectations models have been extensively used in this plan to resolve some of the inconsistency problems. The third phase has recently focused on the various aspects of adaptive control. where stochasticity and information­ adaptivity are introduced in diverse ways e.g .• risk adjustment and risk sensitivity of optimal control, recursive updating rules via Kalman filtering and weighted recursive least squares and variable structure control methods in nonlinear framework. Problems of efficient econometric estimation of optimal control models have now acquired significant importance. This monograph provides an integrated view of control theory methods, synthesizing the three phases from feedback control to stochastic control and from stochastic control to adaptive control. Aspects of econometric estimation are strongly emphasized here, since these are very important in empirical applications in economics.

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This volume provides an integrated, modern treatment of control theory in economics. In addition to synthesizing the different phases of control theory methods, including feedback, stochastic and adaptive control, Control Theory Methods in Economics discusses several recent developments in applied control theory. Aspects of econometrics estimation receive special emphasis, because of their importance to empirical applications in economics.
Control Theory Methods in Economics will be an important general reference for researchers and graduate students of applied control theory methods, but also has extensive professional applications in dynamic portfolio models in finance, neoclassical models of optimal growth, stabilizing control policies in variable structure models and problems of forecasting and estimation in dynamic models of rational expectations.

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This volume provides an integrated, modern treatment of control theory in economics. In addition to synthesizing the different phases of control theory methods, including feedback, stochastic and adaptive control, Control Theory Methods in Economics discusses several recent developments in applied control theory. Aspects of econometrics estimation receive special emphasis, because of their importance to empirical applications in economics.
Control Theory Methods in Economics will be an important general reference for researchers and graduate students of applied control theory methods, but also has extensive professional applications in dynamic portfolio models in finance, neoclassical models of optimal growth, stabilizing control policies in variable structure models and problems of forecasting and estimation in dynamic models of rational expectations.
Content:
Front Matter....Pages i-ix
Introduction to Control Theory....Pages 1-8
Continuous time models....Pages 9-62
Discrete time models....Pages 63-96
Stochastic Control Theory....Pages 97-145
Economic Implications of Stochastic Control....Pages 147-180
Variable Structure Systems....Pages 181-210
Risk Sensitivity, Adjustment of Control and Estimation....Pages 211-248
Back Matter....Pages 249-258

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This volume provides an integrated, modern treatment of control theory in economics. In addition to synthesizing the different phases of control theory methods, including feedback, stochastic and adaptive control, Control Theory Methods in Economics discusses several recent developments in applied control theory. Aspects of econometrics estimation receive special emphasis, because of their importance to empirical applications in economics.
Control Theory Methods in Economics will be an important general reference for researchers and graduate students of applied control theory methods, but also has extensive professional applications in dynamic portfolio models in finance, neoclassical models of optimal growth, stabilizing control policies in variable structure models and problems of forecasting and estimation in dynamic models of rational expectations.
Content:
Front Matter....Pages i-ix
Introduction to Control Theory....Pages 1-8
Continuous time models....Pages 9-62
Discrete time models....Pages 63-96
Stochastic Control Theory....Pages 97-145
Economic Implications of Stochastic Control....Pages 147-180
Variable Structure Systems....Pages 181-210
Risk Sensitivity, Adjustment of Control and Estimation....Pages 211-248
Back Matter....Pages 249-258
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