New answers tagged cross-section
1
Method 1
You are right. Cross-sectional analysis of this kind would mean to do the regression for a particular year for which you will only have 24 observations, so your estimates will be less precise. Otherwise there is nothing wrong with it but if you have the "luxury" to exploit also the time dimension of your data this might help (see below).
Method 2
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Think about it in terms of an intervention I functioning om some outcome X.
If you have a controlled experiment, you use a (pseudo-)random mechanism, such as a random number generator, to sort the respondents into a control and a treatment group, where only the treatment group should receive the intervention.
You then exploit the fact that by definition, ...
3
Whether data is observational or controlled is not related to the type of data (longitudinal or cross-sectional) but it depends on how the data was collected. The main difference is that in experimental data you have controlled the setting such that you can exclude other outside influences that may affect the outcome - for example via an experiment in the ...
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