A long-time ago, in the midst of a global pandemic, I launched the first online version of 'R Programming for Policy Analysis'. Although I'd run several workshops on applied policy analysis in the past, these sessions were usually for teams that worked exclusively on data analysis and modelling. But, the unexpected chord struck by a short listicle I wrote on R, indicated there was wider interest in an accessible introduction to the R programming for policy generalists, consultants and researchers. I therefore launched the first version of the course at the Microsoft Reactor Hub in Sydney, before delivering it as…
R Programming for Policy Analysis – 2021 Course Resources
Note: Registrations for 'An Introduction to R Programming for Policy Analysis' are now open at PolicyAnalysisLab.com. A long-time ago, in the midst of a global pandemic, I launched the first online version of my 'R Programming for Policy Analysis' course with a motley crew of consultants, policy analysts and researchers. Despite being cobbled together using a combination of teleconferencing and duct-tape, the course was rated highly by participants. So much so, that I still receive requests from people interested in accessing session recordings and course resources. And while having people reaching out to me directly has its advantages - such…
Gender Diversity in the International Development Sector
Just how diverse is the senior leadership of international aid organizations? Colleague Astrid Haas and I recently launched a research project to attempt to answer exactly this for a key dimension of diversity: gender. Data and R code used in the analysis are provided at the bottom of the post Although I label myself 'an economist' at cocktail parties (or would, if I were invited to any), much of my career has been spent in the 'international development'. For those unfamiliar with what this means, in essence much of my work focuses on the challenges faced by nations, communities and…
Everything is Correlated(?): How Common are Significant Cross-Country Correlations?
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?…