Economist Brian Arthur has made important contributions to our understanding of inductive versus deductive approaches to problem solving. Arthur notes that you can solve only the easiest problems deductively … But humans are superb at recognizing and matching patterns. We’re inductive machines. Arthur offers a model of inductive reasoning, effectively picking up where Lord Keynes left off. The model is based on the El Farol bar in Santa Fe, New Mexico … Attending the El Farol when it...
Read More »Thank God Eric Schüldt is back!
Thank God Eric Schüldt is back! I dessa tider — när ljudrummet dränks i den kommersiella radions tyckmyckentrutade ordbajseri och fullständigt intetsägande melodifestivalskval — har man ju nästan gett upp. Men det finns ljus i mörkret! I radions P2 går varje lördagmorgon ett vederkvickelsens och den seriösa musikens Lördagsmorgon i P2. Så passa på och börja dagen med en musikalisk örontvätt och rensa hörselgångarna från kvarvarande musikslagg. Här kan man till exempel lyssna på musik av...
Read More »Hallelujah
[embedded content]
Read More »Applied econometrics — a messy business
Applied econometrics — a messy business The applied econometrician is like a farmer who notices that the yield is somewhat higher under the trees where birds roost, and he uses this for evidence that bird droppings increase the yield. However, when he presents his findings … another farmer … objects that he used the same data but came up with the conclusion that moderate amounts of shade increase the yields … A bright chap … then observes that these two hypotheses are indistinguishable,...
Read More »Variable selection — not about having a ‘good fit’
Variable selection — not about having a ‘good fit’ Which independent variables should be included in the equation? The goal is a “good fit” … How can a good fit be recognized? A popular measure for the satisfactoriness of a regression is the coefficient of determination, R2. If this number is large, it is said, the regression gives a good fit … Nothing about R2 supports these claims. This statistic is best regarded as characterizing the geometric shape of the regression points and not much...
Read More »Should we ‘control for’ everything when running regressions? No way!
Should we ‘control for’ everything when running regressions? No way! When I present this argument … one or more scholars say, “But shouldn’t I control for everything I can in my regressions? If not, aren’t my coefficients biased due to excluded variables?” This argument is not as persuasive as it may seem initially. First of all, if what you are doing is misspecified already, then adding or excluding other variables has no tendency to make things consistently better or worse … The excluded...
Read More »How economists argue
To a mainstream economist, theory means model, and model means ideas expressed in mathematical form. In learning how to “think like an economist,” students learn certain critical concepts and models, ideas which typically are taught initially through simple mathematical analyses. These models, students learn, are theory. In more advanced courses, economic theories are presented in more mathematically elaborate models. Mainstream economists believe proper models – good models – take a...
Read More »Sherlock Holmes på besök i högskolevärlden
Sherlock Holmes på besök i högskolevärlden På en av landets största högskolor kunde man igår på dess hemsida läsa att “Bra studiemiljö positivt för studieresultatet.” Woah! Vem hade kunnat ana det …
Read More »Simpson’s paradox and perspectival realism
Simpson’s paradox and perspectival realism Which causal relationships we see depend on which model we use and its conceptual/causal articulation; which model is bestdepends on our purposes and pragmatic interests. Take the case of Simpson’s paradox, which can be described as the situation in which conditional probabilities (often related to causal relations) are opposite for subpopulations than for the whole population. Let academic salaries be higher for economists than for sociologists,...
Read More »What is a good model?
What is a good model? Whereas increasing the difference between a model and its target system may have the advantage that the model becomes easier to study, studying a model is ultimately aimed at learning something about the target system. Therefore, additional approximations come with the cost of making the correspondence between model and target system less straight- forward. Ultimately, this makes the interpretation of results on the model in terms of the target system more...
Read More »