
doi: 10.1108/eb005519
This paper offers an introduction to dynamic economic planning under uncertainty, i.e. the use of econometric models together with mathematical optimization methods for the analysis and quantitative determination of optimal economic policies. The corresponding basic methodology (optimal feedback stochastic control of linear econometric models given a quadratic cost functional) is presented with particular regard to its practical application. The method is then applied for demonstration purposes to an econometric model of the Federal Republic of Germany.
numerical determination of optimal policies, data from the German economy, dynamic economic planning, econometric model, optimal feedback stochastic control, quantitative economic policy, Applications of mathematical programming, Economic growth models, quadratic cost functional, mathematical optimization methods, Statistical methods; economic indices and measures, Applications of statistics to economics
numerical determination of optimal policies, data from the German economy, dynamic economic planning, econometric model, optimal feedback stochastic control, quantitative economic policy, Applications of mathematical programming, Economic growth models, quadratic cost functional, mathematical optimization methods, Statistical methods; economic indices and measures, Applications of statistics to economics
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