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Tag Archives: Statistics & Econometrics

Econometric disillusionment

Because I was there when the economics department of my university got an IBM 360, I was very much caught up in the excitement of combining powerful computers with economic research. Unfortunately, I lost interest in econometrics almost as soon as I understood how it was done. My thinking went through four stages: 1. Holy shit! Do you see what you can do with a computer’s help. 2. Learning computer modeling puts you in a small class where only other members of the caste can...

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The limits of probabilistic reasoning

The limits of probabilistic reasoning Probabilistic reasoning in science — especially Bayesianism — reduces questions of rationality to questions of internal consistency (coherence) of beliefs, but, even granted this questionable reductionism, it’s not self-evident that rational agents really have to be probabilistically consistent. There is no strong warrant for believing so. Rather, there is strong evidence for us encountering huge problems if we let...

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On probabilism and statistics

On probabilism and statistics ‘Mr Brown has exactly two children. At least one of them is a boy. What is the probability that the other is a girl?’ What could be simpler than that? After all, the other child either is or is not a girl. I regularly use this example on the statistics courses I give to life scientists working in the pharmaceutical industry. They all agree that the probability is one-half. So they are all wrong. I haven’t said that the older...

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What should we do with econometrics?

What should we do with econometrics? Econometrics … is an undoubtedly flawed paradigm. Even putting aside the myriad of technical issues with misspecification and how these can yield results that are completely wrong, after seeing econometric research in practice I have become skeptical of the results it produces. Reading an applied econometrics paper could leave you with the impression that the economist (or any social science researcher) first formulated...

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Deaton-Cartwright-Senn-Gelman on the limited value of randomization

Deaton-Cartwright-Senn-Gelman on the limited value of randomization In Social Science and Medicine (December 2017), Angus Deaton & Nancy Cartwright argue that RCTs do not have any warranted special status. They are, simply, far from being the ‘gold standard’ they are usually portrayed as: Randomized Controlled Trials (RCTs) are increasingly popular in the social sciences, not only in medicine. We argue that the lay public, and sometimes researchers, put...

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The thing that people just don’t get about statistics

The thing that people just don’t get about statistics The thing that people just don’t get is that is just how easy it is to get “p less than .01” using uncontrolled comparisons … Statistics educators, including myself, have to take much of the blame for this sad state of affairs. We go around sending the message that it’s possible to get solid causal inference from experimental or observational data, as long as you have a large enough sample size and a...

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