Is Google Trends a quality data source?

被引：34

作者：

Cebrian, Eduardo ^{[1
]}

Domenech, Josep ^{[1
]}

机构：

[1] Univ Politecn Valencia, Dept Econ & Social Sci, Valencia, Spain

来源：

APPLIED ECONOMICS LETTERS | 2023年 / 30卷 / 06期

关键词：

Google Trends; data quality; measurement error; online data; SEARCH;

D O I：

10.1080/13504851.2021.2023088

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Google Trends (GT) has become a popular data source among researchers in a wide variety of fields. In economics, its main use has been to forecast other economic variables such as tourism demand, unemployment or sales. This paper questions the quality of these data by discussing the main data quality aspects according to the literature. Our analysis evidences some non-negligible issues related to the measurement accuracy of GT, which potentially affects the results obtained with GT data and therefore the decisions made with this information. These issues are illustrated with an example in which some queries to GT are repeated on six different days.

引用

页码：811 / 815

页数：5

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