❗️❗️❗️ New Data Alert ❗️❗️❗️
Hello #EconTwitter and #PoliSciTwitter.
I digitized and translated the statistical reports from the Russian Empire spanning 1863-1917.
Details: sites.google.com/a/umn.edu/emal…
Please, contact me if you have any questions or interested in collaboration. [1/3]
Hello #EconTwitter and #PoliSciTwitter.
I digitized and translated the statistical reports from the Russian Empire spanning 1863-1917.
Details: sites.google.com/a/umn.edu/emal…
Please, contact me if you have any questions or interested in collaboration. [1/3]
The current version of the data consists of several categories:
1. Agriculture
2. Banking Statistics
3. Geography and Population
4. Health (Diseases)
5. Labor Market
6. Production
7. Public Finance
8. Strikes
9. Trade
10. Transportation
[2/3]
1. Agriculture
2. Banking Statistics
3. Geography and Population
4. Health (Diseases)
5. Labor Market
6. Production
7. Public Finance
8. Strikes
9. Trade
10. Transportation
[2/3]
The data has different levels of aggregation (region, customs, industry, gender, etc.). For some variables, the data has panel structure (e.g., region-year or customs-year). Most of variables are available for the 1900-1910s. A detailed “readme” is supplemented. [3/3]
@MelissaLDell @StationryBandit @Rick__Hornbeck perhaps, you know someone who could be potentially interested.
I had the idea of constructing this dataset since I was an undergrad student, but it was on hold… before reading @ReddingEcon and Pablo Fajgelbaum’s paper about Argentina. Thank you for motivation!
@DianaVanPatten @vdev_econ you might find it useful for you or your colleagues.
• • •
Missing some Tweet in this thread? You can try to
force a refresh
