Sorry, that address was for an article of mine. It now contains the e-mail. Sorry. On Sun, Nov 18, 2001 at 11:37:11PM -0500, Allin Cottrell wrote: > On Sun, 18 Nov 2001, michael perelman wrote: > > > I tried to show one of the problems with Marxian econometrics. > > > > www.ucm.es/wwwboard/bas/messages/246.htm > > Eh? This is Spanish-language get-rich-quick Internet spam. What is > the relevance? > > Like Patrick, I think econometrics is not really optional. In the > broad sense (that used by the founders of the Econometric Society in > the 1930s) econometrics is simply quantitative economic analysis. In > the somewhat narrower sense that the term 'econometrics' has acquired > since WWII, it is quantitative analysis based on probability theory, > or more specifically the theory of statistical inference as elaborated > by Bayes, Neyman and Pearson, and R.A. Fisher (there are differences > between these three approaches but modern econometrics comprises them > all). I don't say that these theories are beyond question, but in the > last half-century nobody has proposed any alternative paradigm for > testing/quantifying theory against non-experimental data. They are, > collectively, the only game in town. > > I don't see any inherent connection between neoclassical economic > theory and econometrics. They just "happen to go together" in that > neoclassical theory has been dominant in the period since econometrics > came to maturity; it has therefore provided most of the hypotheses > that econometricians have wanted to test. > > Jerry mentioned some "other approaches" to quantitative analysis, > including input-output analysis and "chaos theory". These are of > interest but they are not in competition with econometrics; they are > both theoretical frameworks rather than methodologies for empirical > analysis as such. > > Allin Cottrell. > -- Michael Perelman Economics Department California State University Chico, CA 95929 Tel. 530-898-5321 E-Mail michael@ecst.csuchico.edu
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