My paper, co-authored with Guigonan Serge Adjognon and Aly Sanoh, on changes in experienced food security associated with the coronavirus pandemic is now forthcoming at Food Policy. In the paper, we combine pre-pandemic survey data with follow-up phone survey data from Mali, and find some interesting—and perhaps surprising—patterns in experienced food security within Mali. Here is the abstract:Continue reading
The coronavirus pandemic continues to spread across the world. We all know this, and live it every single day. One of the many questions swirling around the pandemic is what are the consequences of the pandemic on outcomes other than case counts and mortality?Continue reading
That is the title of a recent New York Times article, by Peter S. Goodman, Abdi Latif Dahir, and on how complications driven by the spread of the coronavirus has led to increased challenges for many people in accessing nutritious and healthy food. The article is a tour de force—reporting from Afghanistan, South Africa, India, South Sudan, and Kenya—and begins with the following vignette.
One of the reasons I keep this blog is to create a public good of sorts. I hope that this site becomes a resource for other graduate students and other people interested in development economics. This post is me adding to this resource RE: Calculating Price Volatility.
This summer I started an assistantship with the Food Security Group (FSG) at MSU. A large part of what the FSG does is capacity building in the countries where they work. Gone are the days when the researcher parachutes into a country implements some (so called) expert analysis and then goes home. Today research in development economics (at least the good stuff) builds in positive spillovers for local research and development policy institutions.
I’ve been working on a project in Myanmar and was recently tapped to provide some assistance for the partners in Myanmar to calculate price volatility of grains. Understanding the dynamics of price volatility is important for development economics (particularly those interested in agriculture). When prices for a staple food are variable poor farmers are often at risk of loosing some of their profits to middle men who can afford to wait and sell when the price is high.
Anyway, there is remarkably little out there in terms of basic resources for calculating price volatility in an agricultural economics setting. Most of the free and accessible resources available pertain mostly to financial economics for calculating the volatility of stock prices or the riskiness (beta) of a stock. So I made my own introductory document to calculating price volatility. It is now posted here for all to use.