Tag Archives: Statistics & Econometrics

Ed Leamer and the pitfalls of econometrics Ed Leamer’s Tantalus on the Road to Asymptopia is one of my favourite critiques of econometrics, and for the benefit of those who are not versed in the econometric jargong, this handy summary gives the gist of it in plain English:   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...

The fundamental econometric dilemma Many thanks for sending me your article. I enjoyed it very much. I am sure these matters need discussing in that sort of way. There is one point, to which in practice I attach a great importance, you do not allude to. In many of these statistical researches, in order to get enough observations they have to be scattered over a lengthy period of time; and for a lengthy period of time it very seldom remains true that the...

Modern economics — pseudo-science based on FWUTV The use of FWUTV — facts with unknown truth values — is, as Paul Romeer noticed in last year’s perhaps most interesting insider critique of mainstream economics, all to often used in macroeconomic modelling. But there are other parts of ‘modern’ economics than New Classical RBC economics that also have succumbed to this questionable practice: Statistical significance is not the same as real-world significance...

‘Modern’ economics — blah blah blah A key part of the solution to the identification problem that Lucas and Sargent (1979) seemed to offer was that mathematical deduction could pin down some parameters in a simultaneous system. But solving the identification problem means feeding facts with truth values that can be assessed, yet math cannot establish the truth value of a fact. Never has. Never will. In practice, what math does is let macro-economists locate...

The most beautiful identity in mathematics  [embedded content] div{float:left;margin-right:10px;} div.wpmrec2x div.u > div:nth-child(3n){margin-right:0px;} ]]> Advertisements

On the fundamental difference between ergodic and non-ergodic processes in economics Yours truly has tried to explain the fundamental difference between time averages and ensemble averages repeatedly on this blog. Still people obviously seem to have problems grasping it. Maybe this video will help … [embedded content] div{float:left;margin-right:10px;} div.wpmrec2x div.u > div:nth-child(3n){margin-right:0px;} ]]> Advertisements...

In a blog post the other day, Noah Smith returned again to the discussion about the ’empirical revolution’ in economics and how to — if it really does exist — evaluate it. Counter those who think quasi-experiments and RCTs are the true solutions to finding causal parameters, Noah argues that without structural models empirical results are only locally valid. And you don’t really know how local “local” is. If you find that raising the minimum wage from $10 to $12 doesn’t reduce...

The statistical crisis in social science  [embedded content] Advertisements

Trig trick (student stuff)  [embedded content] Advertisements

Don’t trust summary statistics alone When teaching statistics and econometrics yours truly always stress the importance of data visualization. The thirteen datasets shown above is a great illustration of why one should always plot data. They all have the same summary statistics — mean, standard deviation, correlation coefficient — but some are dinosaurs and others are stars … Conclusion: never trust summary statistics alone! Advertisements...