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Introduction: Towards observed preferences in econometric decision models.- Problem Area 1: Econometric decision models in theory and practice: experiences and problems in large-scale applications, recent developments in theory and methods (except those of problem areas 2 and 3 below).- The “optimal” control of the RWI-model.- Optimal stabilization with a quarterly model of the Federal Republic of Germany.- Some experiences with the control of a macroeconometric model with a scalarvalued objective function from the viewpoint of applied economic research.- An application of optimal control to a small model of politico-economic interaction.- Evaluating macroeconomic policy: Optimal control solutions versus suboptimal alternatives.- Adaptive control of macroeconomic models (abstract).- A fine-tuning scheme for economic decision rules.- A control-theoretic analysis for a small econometric model of the Federal Republic of Germany.- The asymptotic distribution of optimal policy feedback coefficients.- Conflict, cooperation and social preference functions.- Decentralized control strategies for large-scale discrete-time systems.- A recursive adaptive hybrid model for national and interregional analysis.- Problem Area 2: Methods for obtaining the weights and target values in the scalarvalued objective function of (e. g. ) the linea-quadratic econometric decision model.- A study of adaptive revision of target values in an econometric decision model.- The measurement of quadratic preference functions with small samples.- The determination of collective preferences in economic decision models: With an application to Soviet economic policy.- Problem Area 3: Methods for avoiding the necessity of explicitly specifying and quantifying a scalarvalued objective function before solving the econometric decision model.- Interactive solution of multiple objective, dynamic, macroeconomic stabilization problems: A comparative study.- A methodology for solving the multiple criteria macroeconomic policy problem.- The interactive multiobjective optimization method by Elemer E. Rosinger: A computer program and aspects of applications.