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Economic Data Processing RLibrary

Utilities to retrieve and tidy U.S. macroeconomic data series frompublic government data providers. Functions streamline access to seriesfrom the Federal Reserve Bank of St. Louis Federal Reserve Economic Data(FRED), the Bureau of Labor Statistics (BLS) flat files, and the Bureauof Economic Analysis (BEA) National Income and Product Accounts (NIPA)tables, then return consistent, tidy data frames ready for modeling andgraphics. The package includes helpers for date alignment, log-linearprojections, and common macro diagnostics, along with convenience plotbuilders for quick publication-quality charts.

Functions and Examples

1.getBLSFiles

• Purpose: Downloads and processes data from theBureau of Labor Statistics (BLS).
• Example:

bls_data<-getBLSFiles(data_source ="cpi",email ="user@example.com")

2.getFRED

• Purpose: Downloads and merges economic data seriesfrom the Federal Reserve Economic Data (FRED).
• Example:

fred_data<-getFRED(variables =prime_epop ="LNS12300060",cpi ="CPIAUCSL"))

3.getPCEInflation

• Purpose: Loads and processes Personal ConsumptionExpenditures (PCE) data.
• Example:

pce_data<-getPCEInflation("M")

• The parameter"M" specifies monthly data frequency. Use"Q" for quarterly data.

4.getNIPAFiles

• Purpose: Downloads and formats BEA NIPA data flatefiles, either monthly or quarterly values.
• Example:

nipa_data<-getNIPAFiles(type ="Q")

4.logLinearProjection

• Purpose: Performs log-linear projections onhistorical data. Must be called within dplyr verbs.
• Example:

projected_values<-logLinearProjection(date_col = date,value_col = gdp,start_date ="2020-01-01",end_date ="2021-01-01")

Dependencies

• dplyr
• tidyr
• readr
• purrr
• rlang
• stringi

License

This library is distributed under the MIT License. The MIT licensepermits reuse of software under permissive conditions, provided that allcopies include the license terms and the copyright notice.