For those not into (macro-)economics but willing to dabble some more, a few more sources included at the bottom. Enough to last you a scientific lifetime. If

For those not into (macro-)economics but willing to dabble some more, a few more sources included at the bottom. Enough to last you a scientific lifetime. If your neural net gives meaningful predictions of how institutions, inequality and other measures predict or explain growth or well-being, contact your local Peter H. Lindert, Geoff Williamson or Daron Acemoglu. Know any (worldwide, historic) datasets on institutional arrangements: please comment! There are a lot of open questions in economic history and many, many more worldwide datasets taking the long view available. Used to be more theory and (econo)metrics than data in growth economics, finally it is starting to come around. Thank the scientists taking the time to create those datasets. Not the easiest route, nor the quickest to tenure so it takes those special ones to take it up. [1] http://gpih.ucdavis.edu/ http://gpih.ucdavis.edu/ - Income History Group at UC Davis [2] http://www.rug.nl/ggdc/productivity/pwt/ http://www.rug.nl/ggdc/productivity/pwt/ - Penn World Table currently at Rijksuniversiteit Groningen [3] https://data.worldbank.org/data-catalog/world-development-indicators https://data.worldbank.org/data-catalog/world-development-in... - World Development Indicators at The World Bank [4] http://www.macrohistory.net/data/ http://www.macrohistory.net/data/ - Jordà-Schularick-Taylor Macrohistory Database