| umcsent.example {Rlgt} | R Documentation |
University of Michigan Monthly Survey of Consumer Sentiment & Google Trends Queries
Description
A dataset containing monthly University of Michigan survey of Consumer Sentiment along a few related google trend queries Jan from 2014 - June 2018. This aims to mimick the dataset from Scott and Varian (2014).
Usage
data("umcsent.example")
Format
A data frame with 174 rows and 8 variables with log-transformation
- date
first date of each month in US calendar format
- consumer.sent
monthly initial claims of University of Michigan: Consumer Sentiment
- search.engine
normalized trend queries retreived from gtrendsR API
- financial.planning
normalized trend queries retreived from gtrendsR API
- bus.news
normalized trend queries retreived from gtrendsR API
- investing
normalized trend queries retreived from gtrendsR API
- energy.utilities
normalized trend queries retreived from gtrendsR API
References
University of Michigan, University of Michigan: Consumer Sentiment [UMCSENT], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/UMCSENT, November 17, 2018.
Trends queries from google search engine. https://trends.google.com/trends/?geo=US
An interface for retrieving and displaying the information returned online by Google Trends is provided. Trends (number of hits) over the time as well as geographic representation of the results can be displayed. https://CRAN.R-project.org/package=gtrendsR
Scott, S. L. and Varian, H. R. (2012). Bayesian Variable Selection for Nowcasting Economic Time Series. https://www.aeaweb.org/conference/2013/retrieve.php?pdfid=447