Causation and causal inference [embedded content] Who said science presentations have to be boring?
Read More »Prediction vs Causal Inference
Prediction vs Causal Inference [embedded content]
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Econometrics as a testing device
Econometrics as a testing device Debating econometrics and its short-comings yours truly often gets the response from econometricians that “ok, maybe econometrics isn’t perfect, but you have to admit that it is a great technique for empirical testing of economic hypotheses.” I usually respond by referring to the text below … Most econometricians today … believe that the main objective of applied econometrics is the confrontation of economic theories with...
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[embedded content] Better than ever. Absolutely awesome. The Silver Girl still sails on.
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Read More »Econometrics — a matter of BELIEF and FAITH
Econometrics — a matter of BELIEF and FAITH Everybody who takes regression analysis course, studies the assumptions of regression model. But nobody knows why, because after reading about the axioms, they are rarely mentioned. But the assumptions are important, because if any one assumption is wrong, the regression is not valid, and the interpretations can be completely wrong. In order to have a valid regression model, you must have right regressors, the...
Read More »Econometrics and the Axiom of Omniscience
Econometrics and the Axiom of Omniscience Most work in econometrics and regression analysis is — still — made on the assumption that the researcher has a theoretical model that is ‘true.’ Based on this belief of having a correct specification for an econometric model or running a regression, one proceeds as if the only problem remaining to solve have to do with measurement and observation. When things sound to good to be true, they usually aren’t. And that...
Read More »Econometrics — fictions masquerading as science
Econometrics — fictions masquerading as science In econometrics one often gets the feeling that many of its practitioners think of it as a kind of automatic inferential machine: input data and out comes casual knowledge. This is like pulling a rabbit from a hat. Great — but first you have to put the rabbit in the hat. And this is where assumptions come into the picture. As social scientists — and economists — we have to confront the all-important question...
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Stjärnorna kvittar det lika [embedded content] Till minnet av Bengt — en vän non plus ultra
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