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Hello, I am a undergraduate student studying economics in the hopes of one day pursuing a PHD. I have downloaded STATA and am faced with the task of self study. Would anyone have tips or advice on how to go about learning this software package in a way that is geared towards economics. I figure any RA position would want you to prove your proficiency with the software. I just wonder how you would show that. At my university, I have found some previous class assignments from an econometrics class that require the use of STATA. I am thinking it may be a good idea to mess around with those assignments and see what I can do with them. Maybe I could even use the assignments as a badge of proof, a way to show proficiency in STATA. If anyone has advice for me, I would be happy to hear it. Thank you.
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Greetings everyonehttp://forum.thegradcafe.com/public/style_emoticons/default/smile.png I am an undergraduate economics student who's very interested in statistics. I know that Stanford has a top statistics department and a top economics department as well. But I heard that the strength of its economics department lies in game theory and IO. So I would like to know how its econometrics ranks. Does the strength of the statistic department pass through to its econometrics? Any idea would be very much appreciated! Thanks! http://forum.thegradcafe.com/public/style_images/master/rep_up.png http://forum.thegradcafe.com/public/style_images/master/rep_down.png 0 Quote MultiQuote Blog This
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Hi, I am currently a sophomore hoping to pursue a Ph.D in econ. I am planning on taking Econometrics next term, and I have been self-studying stats for a week so far, and have another week to go. While the material is not particularly hard, I was wondering what should I focus on, to make sure that I am well-prepared for Econometrics specifically (I will be taking a full stats sequence next year, so I will learn everything appropriately later; I am self-studying it only for metrics right now because I need to finish this class before my junior year due to scheduling issues). I imagine topics such as probability are less relevant, while linear regressions are more, but I could be completely wrong. Thank you very much for your advice!