This analysis summarizes the the effect of severe weather events on population health and in terms of economic impact. To this end, data from the NOAA Storm Database was analyzed, spanning from 1950 to 2011. The highest impact event by a large margin for total fatalities were tornadoes (5633 fatalities) followed by excessive heat (1903). For injuries, again tornadoes was most predominant with over 90000 injuries followed by other root cause all below 7000 injuries. The economic impact was most severe from floods (138 billion USD) followed by hurricanes/typhoons (29 billion USD) and tornados (17 billion USD).

This paper addresses three questions: (1) Are neighborhoods with high concentrations of Scheduled Caste settlements more polluted, net of population density and industrial proximity? (2) Is any inequality primarily driven by traffic or industrial emissions, and is the result consistent across independent measurement approaches? (3) Are more deprived informal settlements systematically excluded from Delhi’s air quality monitoring infrastructure?

Ejercicio en r realizado en clase de estadística.

El taller resuelve dos problemas asociados al modelado de sistemas mediante cadenas de Markov, una herramienta clave en el estudio de procesos estocásticos.

This is just a document that explains how I built the panel data that I then used to run a fixed effects regression and how to interpret the results from my regression table.

This document has compiled all of the graphs that observe the share of symptoms that follow some variation of precursor subdivision. The timeframe that was used in these particular visualizations is 6 months in that symptoms were counted as a follower of a precursor if they followed that precursor within 6 months excluding the same month that the precursor occured in. Each of these graphs are additionally disaggregated by regime type, democracy or autocracy, in order to better understand how these regime types effect our observations.