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[quote=Anonymous][quote=Anonymous][quote=Anonymous][quote=Anonymous]

My textbook at Penn: Johnston’s Econometrics Methods. It’s on my shelf at work. Some of us turned to Maddala when Johnston was too opaque, but Maddala wasn’t assigned. This was in the heyday of Wharton Econometrics, several Wharton Econometrics principals taught in Penn’s Econ Department, and my prof was one of them. Penn’s Econ Department was at the time one of the most quantitative in the country, in econ as well as stats. I should probably clarify, for the bully who doesn’t know what a logit is, that Wharton Econometrics was in its heyday in the 80s and 90s, when it was the #1 econometrics consulting firm in the country.

You can’t cover OLS until you’ve covered distributions and basic stats like t and f tests (otherwise r-squared isn’t going to make sense) and things like ANOVA. You also need to know how to invert a matrix, at least for as long as the course lasts. These aren’t actually simple topics for newbies, and lots of colleges take them slow.

OK. I have to go back to work.[/quote]

This thread is like a slow motion car wreck--too ugly to pass up.

Since it is me who you besmirched, let me whip out my textbooks:

For the LAC stats class, we had Larsen and Marx, "Mathematical Statistic and its Applications."  You damn well better have calculus to follow this book, but linear algebra is less important as the course was less applied.
For the LAC undergraduate econometrics course, we used Gujarati, "Basic Econometrics."  This course did not require linear algebra as a prerequisite, but all the basic intuitions of Econometrics can be derived using only two independent variables.  No if I am not mistaken, the course started using Maddala after my time, but, hey, that over 30 years ago.  (It's not surprising that the course didn't require linear algebra: there wouldn't be sufficient student demand for such a course.)
My graduate econometrics course used, surprise, surprise, Johnston.  I don't remember it every being so obtuse that I needed to refer back to my undergraduate textbook.
My econometrics field courses used Judge et al, "The Theory and Practice of Econometrics" and Amemiya, "Advanced Econometrics."  There, I've probably outed where I went to grad school.

Of course you can learn OLS without having to invert a matrix: there are computer programs for this.  Obviously r-squared makes sense with knowing what t-test and f-tests are: It's simply the explained sum of squares divided by the total sum of squares.  And since you ragged me for saying logit rather than the pretentious logistic regression, I say that you must be a psychiatrist since only they say ANOVA rather than analysis of variance. :roll: 
If we are insisting on pretense, I insist that you address me as Dr. Anonymous.

No, I am not ragging on Wharton either.

So, my kid at TJ (this is not a brag) knows how to fit a line using her TI-64 (or whatever) graphing calculator.  Does this mean she is learning linear regression?  In a sense, yes, but that doesn't say anything about the difficulty of the class or its comparability to college.

TSP stands for Time Series Processor and was viewed as a better Econometrics program for time series.  While some folks used SAS and SPSS, others used matrix programs like MATLAB.  Of course, some of us would program in FORTRAN and use things like the IMSL library.[/quote]

Johnston was always a masters level text book, although quite good.  I also used Amemiya as a supplement, which suggests we are both old.

TSP - do they even make that anymore? Same with SPSS.[/quote]

Johnston has at least as much calculus as whatever pp’s book had. [/quote]

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