Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1787/89ed5e8f-en |
Using Google data to understand governments’ approval in Latin America | |
Nathalia Montoya; Sebastián Nieto-Parra; René Orozco and Juan Vázquez Zamora | |
2020-09-28 | |
出版年 | 2020 |
国家 | 国际 |
领域 | 气候变化 ; 资源环境 ; 地球科学 |
英文摘要 | This paper studies the potential drivers of governments’ approval rates in 18 Latin American countries using Internet search query data from Google Trends and traditional data sources. It employs monthly panel data between January 2006 and December 2015. The analysis tests several specifications including traditional explanatory variables of governments’ approval rates – i.e. inflation, unemployment rate, GDP growth, output gap – and subjective explanatory variables – e.g. perception of corruption and insecurity. For the latter, it uses Internet search query data to proxy citizens’ main social concerns, which are expected to drive governments’ approval rates. The results show that the perception of corruption and insecurity, and complaints about public services have a statistically significant association with governments’ approval rates. This paper also discusses the potential of Internet search query data as a tool for policy makers to understand better citizens’ perceptions, since it provides highly anonymous and high-frequency series in real-time. |
URL | 查看原文 |
来源平台 | OECD iLibrary |
引用统计 | |
文献类型 | 科技报告 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/296293 |
专题 | 气候变化 地球科学 资源环境科学 |
推荐引用方式 GB/T 7714 | Nathalia Montoya,Sebastián Nieto-Parra,René Orozco ,等. Using Google data to understand governments’ approval in Latin America,2020. |
条目包含的文件 | 条目无相关文件。 |
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