Comovements and heterogeneity in the euro area analyzed in a non‐stationary dynamic factor model
非平稳动态因子模型下的欧元区共同变动与异质性AI 解读 ↓
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非平稳动态因子模型下的欧元区共同变动与异质性AI 解读 ↓
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Abstract This paper establishes stylized facts on comovements and heterogeneity of individual euro area countries' output and price developments in the past two decades. For this purpose, a non‐stationary structural dynamic factor model is fitted to a large dataset of euro area macroeconomic variables. The main results are as follows. Both common factors and idiosyncratic components are important in explaining individual countries' output and price developments in the euro area and are also both very persistent. Idiosyncratic shocks and adjustments to these shocks are mainly responsible for cross‐country heterogeneity. The asymmetric transmission of common shocks plays a minor role. Finally, there is no strong evidence that some common shocks lead to greater heterogeneity than others. Copyright © 2009 John Wiley & Sons, Ltd.
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高维矩阵时间序列均值与协方差的多重变点检测
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We propose a novel approximate factor model tailored for analyzing time-dependent curve data. Our model decomposes such data into two distinct components: a low-dimensional predictable factor component and an unpredictable error term. These components are identified through the autocovariance structure of the underlying functional time series. The model parameters are consistently estimated using the eigencomponents of a cumulative autocovariance operator and an information…