This monograph offers a view of control theory that synthesizes the feedback, stochastic, and adaptive phases of the theory's development. The authors emphasize aspects of econometric estimation, and discuss their recent research on the estimation of Euler equations in optimal control models; consistency problems in differential games models; various economic applications; and variable structure, adaptive, and risk-sensitive control. Annotation c. by Book News, Inc., Portland, Or.
Control Theory Methods in Economics / Edition 1 available in Hardcover
- Pub. Date:
- Springer US
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.