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Home / Tag Archives: Statistics & Econometrics (page 27)

Tag Archives: Statistics & Econometrics

Kausalitet och ekonometri

I The Book of Why för Judea Pearl fram flera tunga skäl till varför den numera så populära kausala grafteoretiska ansatsen är att föredra framför mer traditionella regressionsbaserade förklaringsmodeller. Ett av skälen är att kausala grafer är icke-parametriska och därför inte behöver anta exempelvis additivitet och/eller frånvaro av interaktionseffekter — pilar och noder ersätter regressionsanalysens nödvändiga specificeringar av funktionella relationer mellan de i...

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The leap of generalization

The leap of generalization Statistician Andrew Gelman has an interesting blogpost up on what inference in science really means: I like Don Rubin’s take on this, which is that if you want to go from association to causation, state very clearly what the assumptions are for this step to work. The clear statement of these assumptions can be helpful in moving forward … Another way to say this is that all inference is about generalizing from sample to population,...

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Keynes on the methodology of econometrics

Keynes on the methodology of econometrics There is first of all the central question of methodology — the logic of applying the method of multiple correlation to unanalysed economic material, which we know to be non-homogeneous through time. If we are dealing with the action of numerically measurable, independent forces, adequately analysed so that we were dealing with independent atomic factors and between them completely comprehensive, acting with...

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On the difference between econometrics and data science

On the difference between econometrics and data science .[embedded content] Causality in social sciences can never solely be a question of statistical inference. Causality entails more than predictability, and to really in depth explain social phenomena require theory. The analysis of variation can never in itself reveal how these variations are brought about. First when we are able to tie actions, processes or structures to the statistical relations...

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Fooled by randomness

A non-trivial part of teaching statistics to social science students is made up of teaching them to perform significance testing. A problem yours truly has noticed repeatedly over the years, however, is that no matter how careful you try to be in explicating what the probabilities generated by these statistical tests — p-values — really are, still most students misinterpret them. A couple of years ago I gave a statistics course for the Swedish National Research School in...

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