iclaims.example: Weekly Initial Claims of US Unemployment Benefits & Google...
In Rlgt: Bayesian Exponential Smoothing Models with Trend Modifications
iclaims.example R Documentation
Weekly Initial Claims of US Unemployment Benefits & Google Trends Queries
Description
A dataset containing the weekly initial claims for US unemployment benefits against
a few related Google trend queries from Jan 2010 - June 2018.
This aims to mimick the dataset from Scott and Varian (2014).
Usage
data("iclaims.example")
Format
A data frame with 443 rows and 5 variables with log-transformation
- week
date of records starting by Mondays with US calendar format
- claims
weekly initial claims of unemployment benefits in thousands
- trend.unemploy
normalized trend queries retreived from gtrendsR API
- trend.filling
normalized trend queries retreived from gtrendsR API
- trend.job
normalized trend queries retreived from gtrendsR API
References
U.S. Employment and Training Administration, Initial Claims [ICNSA], retrieved from FRED, Federal Reserve Bank of St. Louis;
https://fred.stlouisfed.org/series/ICNSA, October 27, 2018.
Trend 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. (2014). Predicting the Present with Bayesian Structural Time Series.
International Journal of Mathematical Modeling and Optimization 5 4–23.
Rlgt documentation built on Sept. 16, 2023, 1:08 a.m.
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| iclaims.example | R Documentation |
Weekly Initial Claims of US Unemployment Benefits & Google Trends Queries
Description
A dataset containing the weekly initial claims for US unemployment benefits against a few related Google trend queries from Jan 2010 - June 2018. This aims to mimick the dataset from Scott and Varian (2014).
Usage
data("iclaims.example")
Format
A data frame with 443 rows and 5 variables with log-transformation
- week
date of records starting by Mondays with US calendar format
- claims
weekly initial claims of unemployment benefits in thousands
- trend.unemploy
normalized trend queries retreived from gtrendsR API
- trend.filling
normalized trend queries retreived from gtrendsR API
- trend.job
normalized trend queries retreived from gtrendsR API
References
U.S. Employment and Training Administration, Initial Claims [ICNSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/ICNSA, October 27, 2018.
Trend 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. (2014). Predicting the Present with Bayesian Structural Time Series. International Journal of Mathematical Modeling and Optimization 5 4–23.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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