Forecasting GDP in Europe with textual data

IF 2.3 3区 经济学 Q2 ECONOMICS Journal of Applied Econometrics Pub Date : 2024-01-13 DOI:10.1002/jae.3027
Luca Barbaglia, Sergio Consoli, Sebastiano Manzan
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Abstract

We evaluate the informational content of news-based sentiment indicators for forecasting gross domestic product (GDP) and other macroeconomic variables of the five major European economies. Our dataset includes over 27 million articles for 26 major newspapers in five different languages. The evidence indicates that these sentiment indicators are significant predictors to forecast macroeconomic variables and their predictive content is robust to controlling for other indicators available to forecasters in real time.

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利用文本数据预测欧洲国内生产总值
我们评估了基于新闻的情绪指标在预测欧洲五大经济体的国内生产总值(GDP)和其他宏观经济变量方面的信息含量。我们的数据集包括五种不同语言的 26 种主要报纸的 2,700 多万篇文章。证据表明,这些情绪指标是预测宏观经济变量的重要预测指标,而且它们的预测内容在控制预测者可实时获得的其他指标方面是稳健的。
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来源期刊
CiteScore
3.70
自引率
4.80%
发文量
63
期刊介绍: The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.
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