umcsent.example: University of Michigan Monthly Survey of Consumer Sentiment &...

In Rlgt: Bayesian Exponential Smoothing Models with Trend Modifications

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

Rlgt documentation built on Sept. 11, 2024, 7:49 p.m.