德国实时地区账户数据库,应用于国内生产总值修正和预测

IF 1.9 4区 经济学 Q2 ECONOMICS Empirical Economics Pub Date : 2024-03-05 DOI:10.1007/s00181-024-02566-3
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引用次数: 0

摘要

摘要 准确的实时宏观经济数据对于决策和经济预测至关重要。由于目前还没有此类数据,因此无法满足人们对国家以下各级分析日益增长的兴趣。在本文中,我介绍了德国地区经济账户的实时数据库。该数据库包含九个宏观经济总量和德国 16 个州的实时信息。我对实际国内生产总值进行了修正分析和预测实验。通过将各州集中在一起,第一次官方估算没有显示出系统性的修正误差。然而,汇集的结果抑制了单个州的修正特征。在德国的 16 个州中,我发现有一半州的首次估计值不是最佳预测值,因此,未来还有改进的余地。基于混合频率向量自回归的实际国内生产总值增长实时预报非常准确,超过了多个基准模型。更多的地区数据将有助于更好地为模型提供信息,从而进一步提高其预测性能。
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A real-time regional accounts database for Germany with applications to GDP revisions and nowcasting

Abstract

Accurate real-time macroeconomic data are essential for policy-making and economic nowcasting. The rising interest in analyses at the sub-national level cannot be served as such data are currently not available. In this paper, I introduce a real-time database for German regional economic accounts. The database contains real-time information for nine macroeconomic aggregates and the 16 German states. I conduct both a revision analysis and a nowcasting experiment for real gross domestic product. By pooling the states together, the first official estimates show no systematic revision errors. The pooling, however, suppresses the revision characteristics of single states. For half of the 16 German states I find that the first estimates are no optimal predictions, thus, leaving room for improvements in the future. The real-time nowcasts for real gross domestic product growth based on a mixed-frequency vector autoregression are very accurate and beat several benchmark models. More regional data would help to better inform the model, thereby increasing its nowcast performance even further.

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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
157
期刊介绍: Empirical Economics publishes high quality papers using econometric or statistical methods to fill the gap between economic theory and observed data. Papers explore such topics as estimation of established relationships between economic variables, testing of hypotheses derived from economic theory, treatment effect estimation, policy evaluation, simulation, forecasting, as well as econometric methods and measurement. Empirical Economics emphasizes the replicability of empirical results. Replication studies of important results in the literature - both positive and negative results - may be published as short papers in Empirical Economics. Authors of all accepted papers and replications are required to submit all data and codes prior to publication (for more details, see: Instructions for Authors).The journal follows a single blind review procedure. In order to ensure the high quality of the journal and an efficient editorial process, a substantial number of submissions that have very poor chances of receiving positive reviews are routinely rejected without sending the papers for review.Officially cited as: Empir Econ
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