Pavlicek Jaroslav, Kristoufek Ladislav
Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Pod Vodarenskou vezi 4, Prague 8, 182 08, Czech Republic.
Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Pod Vodarenskou vezi 4, Prague 8, 182 08, Czech Republic; Institute of Economic Studies, Charles University, Opletalova 26, 110 00, Prague, Czech Republic; Warwick Business School, University of Warwick, Coventry, West Midlands, CV4 7AL, United Kingdom.
PLoS One. 2015 May 22;10(5):e0127084. doi: 10.1371/journal.pone.0127084. eCollection 2015.
The online activity of Internet users has repeatedly been shown to provide a rich information set for various research fields. We focus on 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 inhabitants can be successfully utilized for macroeconomic predictions. Specifically, we study unemployment rates and their interconnection with job-related searches. We show that Google searches enhance nowcasting models of unemployment rates for the Czech Republic and Hungary whereas for Poland and Slovakia, the results are mixed.
互联网用户的在线活动反复表明，可为各个研究领域提供丰富的信息集。我们关注谷歌上与就业相关的搜索，以及它们在维谢格拉德集团（捷克共和国、匈牙利、波兰和斯洛伐克）地区可能具有的用途。即使对于规模较小的经济体，居民的在线搜索也能成功用于宏观经济预测。具体而言，我们研究失业率及其与就业相关搜索的相互关系。我们发现，谷歌搜索增强了捷克共和国和匈牙利失业率的即时预测模型，而对于波兰和斯洛伐克，结果则喜忧参半。
