GSTDTAP  > 气候变化
DOI10.1787/89ed5e8f-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.

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来源平台OECD iLibrary
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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.
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