I am an interdisciplinary researcher. My current research focuses on the study of complex systems. I apply data, statistical and network analyses.
In economics, I focus on the analysis of the structural properties and dynamics of economic systems from an interdisciplinary approach. I use input-output data to represent the structure of the economy as a complex network, the production or input-output network. In this network I apply complex network analysis and computational techniques to evaluate how the economy reacts to sectoral shocks by capturing the impact of changes in the structure of the economy on sectoral and aggregate economic performance.
I propose to measure the linkages between sectors in the economy applying centrality measures of complex networks to identify key sectors suited for selective promotion. This method complements the standard one used in input-output analysis and provides a bridge between the network and input-output analyses in economics.
Additionally, I apply network diffusion models to evaluate the impact of sectoral shocks in terms of their capability to spread a shock in the economic system creating avalanches. The capability to spread a shock is determined by the connectivity of the sectors and the size of the shock relative to the sectors’ size. I show the advantage of applying this type of models to go beyond input-output analysis and evaluate the effect of a change in the technological relationships between sectors.
My research includes proposing mathematical models based on a statistical analysis to replicate, predict, forecast, and simulate economic escenarios.
The results of my research can be further used to make policy recommendations. Specifically, they provide the tools to allocate additional resources in such a way that they are distributed among a wide part of the economy, and to avoid the wide spreading of negative shocks.