Working analysing technological disasters impacts, always the question about causation emerges. When it is about environmental data, a possible path is try to establish a proxy or a baseline and make comparative analysis. But what abou socioeconomic impacts? It is possible to establishe causation without a control group? How do you eliminate the impact of other external variables in the analysis?
For example, it is possible to evaluate the impact on health or income in a population hitted by a disaster, such as a mining dam collapse, without a control group?
Thanks a lot Laura Iesue for your reply. Although one thing stucked in my mind while i was reading. Yes it is sometimes difficult to establish control groups, specially when we are dealing with specific kind of groups, such as traditional and native people.
But when we are talking about generic groups, such as cities, it is much easier right? I will give an example to be more clear. When working with cities that were hitted by a tecnhological disaster, such a mining dam failure.
The best approach to evaluate damages and impacts, would be with control groups right? Because when choosing similar cities, and that is a real challenge, but this path can provide a better analysis, once the external events, such as macroeconomic crisis, political issues and all, would be in both, the target and the control groups.
I got a little bit confused here, but maybe is just the language or something like that! lol.
I understand as a control group, not just one that i actually manage or interact with, but a collective of individuals or elements that share similarities, except for the variable that you want to analyse.
This analysis exactly like you understood, where i compare diferent cities to understand the impact of a disaster in one of then, if it is not a control group, there is another name?
I am not sure, but in portuguese we call it also as a control group!
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