State level data on food environment variables for the period 2000 through 2013, gathered from the Food Environment Atlas and various other government sources are used to model a panel VAR to capture specific state-level fixed and random effects. The set of food environment variables can be...

We model the energy–agriculture linkage through structural vector autoregression (VAR) model. This model quantifies the relative importance of various contributing factors in driving prices in both markets. The LiNGAM algorithm from the machine learning literature is used to help identify...