An (unscientific) approach for determining the 'typical' frequency of significant cross-country correlations using World Bank data and R. What attracted me to the field of economics when introduced to it in high-school was the apparent abundance of solutions it offered for everyday problems. Does your country have low life expectancy? No problems: research has found that countries that invest more in public health perform better on this measure. Low GDP per-capita? Just improve your governance; as better governed countries tend to be richer. Suffering from internal conflict? Rough-terrain is statistically linked to conflict, perhaps you could invest in earth-moving equipment?…
Economic Policy is a Wicked Problem: It Needs Generalists
I remember being told by a mentor that the problem with my skill set was that I was a 'generalist'. Being early in my career, I didn't think too much about the feedback; as I really hadn't worked long enough to build a specialty even if I knew what I wanted that to be. But, I did find it confusing. After all, didn't the field of economics actively poke its nose into nearly every area of human existence - whether it be the links between abortion and crime or how to start a city? And weren't the intellectual giants of…
R Programming for Public Policy Analysis
Early in 2019 I posted a short 'listicle' with some of the key reasons I think Python and/or R should become essential tools in a modern policy analyst’s toolkit. The full article is here, but the headline points in the article were; R programming’s use across disciplines fitting in well with multidisciplinary policy analysis teams; the greater reproducibility/transparency written code provides; and the practical advantages that can come from automating repetitive bits of policy analysis (such as reporting results of policy analysis across multiple scenarios). While the article didn’t end in me getting a book deal, it did result in…