From Hadley Wickham’s dplyr tutorial at useR! 2014. See this post for more.

(via Spurious Correlations, via Constance)

(via Spurious Correlations, via Constance)

This paper argues that growth data submitted to international agencies are overstated by authoritarian regimes compared to democracies. If true, it calls into question the estimated relationship between government type and economic growth found in the literature. To measure the degree to which each government’s official growth statistics are overstated, the economic growth rates reported in the World Bank’s World Development Indicators are compared to a new measure of economic growth based on satellite imaging of nighttime lights. This comparison reveals whether or not dictators exaggerate their true growth rates and by how much. Annual GDP growth rates are estimated to be overstated by 0.5–1.5 percentage points in the statistics that dictatorships report to the World Bank.
Reconsidering Regime Type and Growth: Lies, Dictatorships, and Statistics - Magee - 2014 - International Studies Quarterly - Wiley Online Library
Source. See the R package to access the data.

Source. See the R package to access the data.

(via hphwd)

A blog companion to a bunch of courses on quantitative methods.

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