Resources and Links
Some useful links and other stuff
Data Sources
- The Groningen Growth and Development Centre: Data on economic growth, productivity and development such as the Penn World Table.
- FRED Economic Data: Tons of time series provided by the Federal Reserve Bank of St. Louis.
- UN Comtrade: Trade data, very disaggregate by products/countries.
- ILO Stat: Labor data, employment and earnings, etc
- IMF Data: The IMF data. Tons about debt, currencies, commodities. Useful for international/macro.
- World Bank: Covers some development topics: health, education, etc.
- OECD Data: The OECD data. Lots of cross country data about a variety of topics.
- IPUMS: Tons of harmonized microdata of different countries + many other US data sets.
- Eurostat: Lots of micro data from European countries, in many you have to apply access but there are some of public ones too.
- LIS: Harmonized income and wealth database from different countries.
- PSID, NLSY, SIPP: US household panel data.
- World Inequality Database: The “Piketty Data”, tons of cross-country data on inequality.
- IPEA Data: Brazilian aggregate data and indicators.
- IBGE and Data Zoom: Brazilian statistical agency and useful source for Brazilian microdata.
- Our World in Data: Interactive webpage with data from many topics, mostly cross-country and over time.
Computational Resources
- QuantEcon: Lectures in computational economics on Python and Julia.
- IntroToJulia: A deep introduction to Julia for Data Science and Scientific Computing by the UC Irvine Data Science Initiative.
- CodersCorners: Tons of tips from the Oxford PhD students’ (mostly Stata).
- PEP 8 - Style Guide for Python Code: Good code practices for Python.
- Julia Programming for Operations Research: Soft introduction to Julia and some numerical methods.
Journal Rankings
Students often ask me which academic economic journals are good, which ones they should read, etc.
There are many international rankings out there, and although the exact answer would depend on the field, I would say these below broadly reflect the view of the profession. Of course, be aware of possible disagreements, how old is the ranking (and whether includes new journals such as AEJs), and methodologies.