econ_data
Tools for Working with Economic Data in Python
@bd_econ
Updated: September 6, 2020
Off the shelf examples of gathering, cleaning, and storing economic data with Python. Divided into three parts: 1) microdata (basic CPS, CPS-ASEC); 2) economic data APIs; and 3) the bd CPS extract.
Currently includes the following:
- Economic Data Application Programing Interfaces (APIs)
- International Monetary Fund (IMF)
- US Bureau of Labor Statistics (BLS)
- US Census Bureau - ACS
- US Census Bureau - Trade
- New Energy Information Administration (EIA)
- Federal Reserve Economic Data (FRED)
- UN Comtrade
- US Bureau of Economic Analysis
- Organization for Economic Cooperation and Development (OECD)
- Yahoo! Finance
- European Central Bank (ECB)
- World Bank
- International Labour Organization (ILO)
- bd CPS (a tool for creating harmonized partial extracts from Current Population Survey public use microdata)
- bd_CPS_dd.ipynb
- bd_CPS_reader.ipynb
- additional notebooks, see link.
If you have a question or find an error, please e-mail me at brian.w.dew@gmail.com.