Hello everybody. I am an undergraduate economics student struggling with two main concepts related to fixed effects, random effects and first differences tests. I would be beyond grateful for anybody's insight into my questions. I imagine they are relatively easy to answer.
1. Are FE, RE and FD all used to diagnose/ get rid of omitted variable bias? If not, what else are they used for? If so, what is the difference in use between the 3? I know that for FE and FD, they are the same exact tests if your T value = 2, but if T>2, it is better to use FE. What kinds of problems would be diagnosed by FD and not be FE or RE, and vice versa?
2. How do I run these tests on STATA? I have looked online and have struggled to find detailed answers on how to run these tests. And, once I run these tests, how do I interpret the results to improve the accuracy of my data?
Again, I would really appreciate explanations for these problems. Thank you!
1. Are FE, RE and FD all used to diagnose/ get rid of omitted variable bias? If not, what else are they used for? If so, what is the difference in use between the 3? I know that for FE and FD, they are the same exact tests if your T value = 2, but if T>2, it is better to use FE. What kinds of problems would be diagnosed by FD and not be FE or RE, and vice versa?
2. How do I run these tests on STATA? I have looked online and have struggled to find detailed answers on how to run these tests. And, once I run these tests, how do I interpret the results to improve the accuracy of my data?
Again, I would really appreciate explanations for these problems. Thank you!

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