Abstract
I herewith open officially the Third International Conference on Econometric Decision Models at the University of Hagen. This conference is, as far as I am aware, also the first international conference on constructing scalar-valued objective functions for econometric optimization models.
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Fox, K.A., J.K. Sengupta, and E. Thorbecke (1973): The Theory of Quantitative Economic Policy with Applications to Economic Growth, Stabilization and Planning. Amsterdam: North-Holland. (First edition 1966.)
Gruber, J. (1979): Approaches to Determining the Weights in the Objective Function of Econometric Decision Models. University of Hagen: Discussion paper No. 35.
-(ED.) (1983): Econometric Decision Models. Proceedings of a Conference at the University of Hagen, June 19–20, 1981. Berlin: Springer. (Lecture Notes in Economics and Mathematical Systems No. 208.)
-(1983a): “Introduction: Towards Observed Preferences in Econometric Decision Models,” in: Gruber (1983), 1–9.
-(ED.) (1991): Econometric Decision Models: New Methods of Modeling and Applications. Proceedings of the Second International Conference on Econometric Decision Models, University of Hagen, August 29–September 1, 1989, in Haus Nordhelle. Berlin: Springer. (Lecture Notes in Economics and Mathematical Systems No. 366.)
-(1991a): “Introduction to the Conference on Econometric Decision Models: for Better Balanced Research and More Interdisciplinary and International Cooperation,” in: Gruber (1991), 3–12.
Gruber, J., and A.S. Tanguiane (1994): An Ordinal Regression Model for Constructing Quadratic Objective Functions. University of Hagen: Discussion paper No. 212.
-(1995): “An Ordinal Model for Constructing a Quadratic Objective Function of Economic Policy,” in: Mammitzsch, V., and H. Schneeweiß (Eds.). Symposia Gaussiana, Conf B. Berlin: Walter de Gruyter, 313–329.
Hüsges, H. (1992): Regressionsschätzung skalarwertiger Präferenzfunktionen für ökonometrische Entscheidungsmodelle auf der Grundlage von Befragungsdaten. Frankfurt/M.: Peter Lang.
Hüsges, H., and J. Gruber (1991): “Least Squares Estimation of Quadratic Preference Functions for Econometric Decision Models Based on Survey Data,” in: Gruber (1991), 185–204.
Merkies, A.H.Q.M., and Th.E. Nijman (1983): “The Measurement of Quadratic Preference Functions with small Samples,” in: Gruber (1983), 242–263.
Tanguiane, A.S. (1992): On Constructing Quadratic Objective Functions. University of Hagen: Discussion paper No. 192.
-(1993): Constructing Quadratic and Separable Objective Functions. University of Hagen: Discussion paper No. 205.
Tanguiane, A.S., and J. Gruber (1991): “On Constructing Objective Functions,” in: Gruber (1991), 222–247.
-(1993): Towards a quadratic objective function for economic policy in Germany. University of Hagen: Discussion paper No. 204.
Theil, H. (1964): Optimal decision rules for government and industry. Amsterdam: North-Holland.
Van Daal, J., and A.H.Q.M. Merkies (1981): On aggregation of economic relationships. Boston: Martinus Nijhoff Publishing.
Van de Panne, C. (1965): “Optimal strategy decisions for dynamic linear decison rules in feedback form,” Econometrica, 33, 307–320.
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Gruber, J. (1997). Introduction to the Third International Conference on Econometric Decision Models: Constructing Scalar-Valued Objective Functions. In: Tangian, A., Gruber, J. (eds) Constructing Scalar-Valued Objective Functions. Lecture Notes in Economics and Mathematical Systems, vol 453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48773-6_1
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