NBER 基于近200年新闻文本的经济情绪分析

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NBER 基于近200年新闻文本的经济情绪分析

# 新闻文本 # 经济 # 情绪大小：1.10M | 页数：58 | 上架时间：2024-01-19 | 语言：英文

NBER 基于近200年新闻文本的经济情绪分析.pdf

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NBER 基于近200年新闻文本的经济情绪分析.pdf

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类型: 专题

上传者: FYJ

撰写机构: NBER

出版日期: 2024-01-19

摘要：

Using text from 200 million pages of 13,000 US local newspapers and machine learning methods, we construct a 170-year-long measure of economic sentiment at the country and state levels, that expands existing measures in both the time series (by more than a century) and the cross-section. Our measure predicts GDP (both nationally and locally), consumption, and employment growth, even after controlling for commonly-used predictors, as well as monetary policy decisions. Our measure is distinct from the information in expert forecasts and leads its consensus value. Interestingly, news coverage has become increasingly negative across all states in the past halfcentury.

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