In general, a good sample size is one that accurately represents the population and allows for reliable statistical analysis. Larger sample sizes are typically better because they reduce the likelihood of sampling errors and provide a more accurate representation of the population.
4:39
i think it is finally..." endogeneity problem occurring from omitted variable"....how about using 2sls or IV instead of RCT?
It is just amature fixed effects with specific and finite control variables, you can always argue about the missing variables
"The mathematics of statistics tell us how large do the groups have to be".. what concept is that?
In general, a good sample size is one that accurately represents the population and allows for reliable statistical analysis. Larger sample sizes are typically better because they reduce the likelihood of sampling errors and provide a more accurate representation of the population.