Nowcasting economic activity in European regions using a mixed-frequency dynamic factor model
针对欧洲区域产出数据发布滞后且频率低的问题，提出混频动态因子模型，利用国家信息对13国150多个区域的增加值进行高频估计和可靠即时预测，为区域政策制定提供及时依据。
Timely and accurate information about regional economic conditions can be essential for planning, implementing, and evaluating locally targeted economic policies. However, European regional accounts for output are published at an annual frequency with a two-year delay. To obtain robust and more timely measures in a computationally efficient manner, we propose a mixed-frequency dynamic factor model that accounts for national information to produce high-frequency estimates and reliable nowcasts of regional gross value added (GVA) in more than 150 regions across 13 European countries.