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	Provedor de dados OAK (1) Autor KYO, KOKI (1) 姜, 興起 (1) Palavra-chave ベイズモデル (1) 動的生産関数 (1) 平滑化事前分布 (1) 経済成長 (1) 経済時系列分析 (1) Ano 2012 (1) País Japan (1) Idioma Japonês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Development of Methods for Analyzing the Factors in Economic Growth via Bayesian Statistical Models and Applications OAK 姜, 興起; KYO, KOKI. ベイズ型平滑化事前分布のアプローチを用いて、時変構造を持つ生産関数モデルの構築とパラメータ推定の方法を提案した。また、開発した方法を日本、米国、中国、韓国、台湾のデータに適用し、経済成長の要因分析を行った。本研究の新規提案法は、経済成長の実証分析において非常に有望なアプローチといえる。その主な特徴は、モデルにおける全要素生産性(TFP)および産出の要素弾力性の時間的変化パターンを厳密に推定できることである。 We constructed production function models with time-varying structure and developed methods for parameter estimation based on a Bayesian smoothness priors approach. The Bayesian models are applied to data for Japan，US，China，South Korea and Taiwan. Our proposed methods can be applied widely as a promising approach for empirical analyses of economic growth. The main feature is that time-varying total factor productivity (TFP) and time-varying elasticities of output with respect to factors of production can be estimated accurately Palavras-chave: ベイズモデル; 平滑化事前分布; 経済時系列分析; 経済成長; 動的生産関数. Ano: 2012 URL: http://ir.obihiro.ac.jp/dspace/handle/10322/3278 Registros recuperados: 1 Primeira ... 1 ... Última

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