laurencehw / econ_data

Python 3 examples of using economic data APIs and working with economic microdata. Includes bd CPS.

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.

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Currently includes the following:

1. Microdata examples

• Basic Monthly CPS
• CPS ASEC
• ACS

2. 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)

3. 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 [email protected].