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st: Issues in panel analysis
I'm currently writing a research proposal for an analysis of a simple
panel dataset with two data points. That is, there's an entry survey
and an exit survey. This is the first time I've analyzed this sort of
data, and wonder if you folks have any thoughts about what issues might
come up other than the obvious. There's considerable variation in the
dependent variable with individuals as the unit of analysis (with
approximately 10,000 cases), but the primary independent variable of
interest is "contextual" or "environmental." That is, it will be
aggregated in a way such that about every 100 to 1,000 individuals will
have same value for the variable. Most of the other control variables
won't be aggregated.
So, does the fact that the independent variable is aggregated raise
methodological issues that undermine the benefits of panel data? I
imagine that a lot of panel studies must account for these environment
variables, but what are the chief pitfalls and how does one adjust for
them? Would it be advisable or necessary to conduct a separate analysis
at a higher level of aggregation and compare the results? Is there a
good reference for this kind of analysis that wouldn't take me a
semester to read and digest?
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