微观因素:分解出口波动的交易级动态因素法

IF 1.5 3区 经济学 Q2 ECONOMICS Oxford Bulletin of Economics and Statistics Pub Date : 2024-09-12 DOI:10.1111/obes.12639
Angelo Cuzzola, Matteo Barigozzi, Marco Grazzi, Daniele Moschella
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引用次数: 0

摘要

本文通过对交易层面数据的动态因素模型进行估计,分析了出口波动来源。利用 1993 年至 2017 年法国出口交易的详尽数据集,我们通过准极大似然法重建了与全球和特定目的地宏观经济冲击相关的潜在因素空间,这种方法可以同时适应高比例的缺失值和微观经济时间序列的高维性。然后,利用估算出的参数对总体和企业层面的出口增长率进行波动性分解,突出结构性空间模式和地理多样化在降低出口风险方面的作用。
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Factoring in the Micro: A Transaction‐Level Dynamic Factor Approach to the Decomposition of Export Volatility
This paper analyzes the export volatility sources estimating a dynamic factor model on transaction‐level data. Utilizing an exhaustive dataset of French export transactions from 1993 to 2017, we reconstruct the latent factors space associated with global and destination‐specific macroeconomic shocks through a Quasi‐Maximum likelihood approach which allows accommodating both the high share of missing values and the high dimensionality of the microeconomic time series. The estimated parameters are then used to derive a volatility decomposition of the aggregate and firm‐level export growth rates, highlighting structural spatial patterns and the role of geographical diversification in mitigating export risks.
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来源期刊
Oxford Bulletin of Economics and Statistics
Oxford Bulletin of Economics and Statistics 管理科学-统计学与概率论
CiteScore
5.10
自引率
0.00%
发文量
54
审稿时长
>12 weeks
期刊介绍: Whilst the Oxford Bulletin of Economics and Statistics publishes papers in all areas of applied economics, emphasis is placed on the practical importance, theoretical interest and policy-relevance of their substantive results, as well as on the methodology and technical competence of the research. Contributions on the topical issues of economic policy and the testing of currently controversial economic theories are encouraged, as well as more empirical research on both developed and developing countries.
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