This is the data from the nota fiscal paulista (NFP) example from Carvalho, Masini and Medeiros (2016). The variables are the food away from home component of the inflation and the GDP for 9 metropolitan areas in Brazil. Each variable is represented by a matrix inside the list. The treated unity is the Sao Paulo metropolitan area, which is the first column in each matrix. The treatment took place at \(t_0=34\).
data(inflationNFP)A list with two matrixes of 56 rows and 9 variables.
Carvalho, C., Masini, R., Medeiros, M. (2016) "ArCo: An Artificial Counterfactual Approach For High-Dimensional Panel Time-Series Data.".