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How fast can the new economy grow? A Bayesian analysis of the evolution of trend growth

机译:新经济能以多快的速度增长?趋势增长演变的贝叶斯分析

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This paper develops a Bayesian filtering strategy for estimating trend growth in the new economy. The filtering strategy involves three elements. Consumption data are used to help disentangle changes in the trend from ordinary cyclical movements. Drifting parameters are introduced to let the economy's law of motion evolve, and Bayesian methods are used to estimate the drifting parameters. The evidence points to a modest net increase in trend growth over the last decade. In per capita terms, the economy may grow more rapidly than in the 1970s, but probably not as fast as in the 1950s or 1960s.
机译:本文提出了一种贝叶斯过滤策略,用于估计新经济中的趋势增长。过滤策略涉及三个要素。消费数据用于帮助区分趋势的变化与普通的周期性运动。引入漂移参数以使经济的运动定律得以发展,贝叶斯方法用于估计漂移参数。有证据表明,过去十年来趋势增长出现了适度的净增长。按人均计算,经济增长可能比1970年代更快,但可能不及1950或1960年代。

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