I did well in both Econometrics courses (399,497), and would say definitely check this text book out. You should be able to find a PDF somewhere. In my section with Fossati there was some really basic coding (Shazam), and the stats/maths were very introductory. Understanding basic calculus (multivariate inc.) as well as introductory stats (distributions, expected values, hypothesis testing) is most the course imo.
They're also both a lot of fun. :) If you're looking for interesting Econ courses, those specific 400 level ones are pretty interesting, since you typically get directed to read papers with substantial findings and get a good taste of that particular field. Labor Economics and Urban Economics are both great.
I've heard this line before.
Normally, I would say, see Professor Granger's work on statistical proof of causality, for which (I think) he won the 2003 Nobel Prize.
But, also, I can recommend the two most standard textbooks on use of statistical methodology for economics (which one uses to prove ones argument mathematically), for students in second and third-year econ courses requiring use of empirical methodology.
Nej, det viser tallene ikke. Det viser din fejlbehæftede analyse, som ikke kan bruges til andet end et eksempel i forkert brug af statistik.
Du begår uendeligt mange fejl. Læs eventuelt: http://www.amazon.com/Introductory-Econometrics-A-Modern-Approach/dp/1111531048