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Intangible Capital and Stock Prices

机译:无形资金和股票价格

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This paper develops a two-sector dynamic stochastic general equilibrium model to measure intangible capital stock and studies the implied riskiness of market value of capital. The equilibrium of the economy is characterized by a state-space representation of dynamic system. Kalman filter algorithm is used to produce an estimate of the value of intangible capital stock based on the observed data on macroeconomic variables and asset prices. With modest capital adjustment cost, the model implies that significant amount of intangible capital is accumulated during past 50 years in US economy but the growth of intangible capital in the last decade is not as fast as the estimates of Hall (2001). Variation in intangible capital estimated from aggregate macroeconomic variables,accounts for almost half of the variability in the market-to-book ratio of nonfinancial and nonfarm corporate firms.
机译:本文开发了一个双扇动态随机通用均衡模型,以衡量无形资金库存,研究资本市场价值的暗示风险。经济的平衡的特征在于动态系统的状态空间表示。卡尔曼滤波算法用于基于观察到的宏观经济变量和资产价格的观察数据产生无形资本股票的价值。以适度的资本调整成本为准,该模型意味着在美国经济过去50年内积累了大量的无形资金,但过去十年的无形资本增长并不像大厅(2001年)的估计数。从总宏观经济变量估计的无形资本的变化,占非金融和非武装公司企业市场与账面比例变异的几半。

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