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	Provedor de dados 31 (1) Autor Judge, George G. (1) Palavra-chave C40 (1) C51 (1) Dynamic economic systems (1) First order Markov processes (1) Information theoretic methods (1) Inverse problems (1) Research Methods/ Statistical Methods (1) State space models (1) Mais... Tipo do documento Working Paper (1) Ano 2012 (1) País United States (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última The information theoretic foundations of a probabilistic and predictive micro and macro economics 31 Judge, George G.. Despite the productive efforts of economists, the disequilibrium nature of the economic system and imprecise predictions persist. One reason for this outcome is that traditional econometric models and estimation and inference methods cannot provide the necessary quantitative information for the causal influence-dynamic micro and macro questions we need to ask given the noisy indirect effects data we use. To move economics in the direction of a probabilistic and causal based predictive science, in this paper information theoretic estimation and inference methods are suggested as a basis for understanding and making predictions about dynamic micro and macro economic processes and systems. Tipo: Working Paper Palavras-chave: Information theoretic methods; State space models; First order Markov processes; Inverse problems; Dynamic economic systems; Research Methods/ Statistical Methods; C40; C51. Ano: 2012 URL: http://purl.umn.edu/122890 Registros recuperados: 1 Primeira ... 1 ... Última

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