I've seen posts where people advise taking real analysis and grad micro together because they have overlap and you can study for both simultaneously. Is this true? Independently, is there any other pair of classes which have a large overlap and if taken together, would make each other easier?
There is some overlap between RA and micro, but it's more in the proof methods. I'm not sure the gains are that great, though, because it depends on the timing of what's taught in each class. Similarly, you could do econometrics and probability/statistics together, but I suspect the timing of material in each class doesn't line up nicely enough so that anything is easier. Ideally you want to do RA, probability theory, mathematical statistics before you take PhD level classes in micro and econometrics. Personally, I think it is better to load up on math, stats, and writing classes, or getting some research experience, while in college and leave the PhD classes for when you arrive. Yeah, doing a PhD class as an undergraduate (or MA student) shows you can do it. But I think you are better off using your time in ways that have larger long-term payoffs. Remember: many 'stars' went to liberal arts colleges and didn't get a taste of graduate work until they got to graduate school. Just my 2 cents.
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