英文标题：
《Can Google searches help nowcast and forecast unemployment rates in the
Visegrad Group countries?》
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作者：
Jaroslav Pavlicek and Ladislav Kristoufek
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最新提交年份：
2014
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英文摘要：
Online activity of the Internet users has been repeatedly shown to provide a rich information set for various research fields. We focus on the job-related searches on Google and their possible usefulness in the region of the Visegrad Group -- the Czech Republic, Hungary, Poland and Slovakia. Even for rather small economies, the online searches of their inhabitants can be successfully utilized for macroeconomic predictions. Specifically, we study the unemployment rates and their interconnection to the job-related searches. We show that the Google searches strongly enhance both nowcasting and forecasting models of the unemployment rates.
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中文摘要：
互联网用户的在线活动已被反复证明为各个研究领域提供了丰富的信息集。我们关注谷歌上与工作相关的搜索，以及它们在维谢格拉德集团所在地区——捷克共和国、匈牙利、波兰和斯洛伐克——可能的有用性。即使是规模较小的经济体，其居民的在线搜索也可以成功地用于宏观经济预测。具体而言，我们研究了失业率及其与工作相关搜索的关联。我们发现，谷歌搜索大大增强了失业率的即时预测和预测模型。
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分类信息：

一级分类：Quantitative Finance 数量金融学
二级分类：Economics 经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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一级分类：Physics 物理学
二级分类：Data Analysis, Statistics and Probability 数据分析、统计与概率
分类描述：Methods, software and hardware for physics data analysis: data processing and storage; measurement methodology; statistical and mathematical aspects such as parametrization and uncertainties.
物理数据分析的方法、软硬件：数据处理与存储；测量方法；统计和数学方面，如参数化和不确定性。
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