Lars P. Syll

The limits of formal models The practical limits of formal models become especially apparent when attempting to integrate diverse information sources. Neither statistics nor medical science begins to capture the uncertainty attendant in this process, and in fact both encourage pernicious overconfidence by failing to make adequate allowance for unmodeled uncertainty sources. Instead of emphasizing the uncertainties attending field research, statistics and...

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Modern mainstream (neoclassical) economics relies to a large degree on the notion of probability. To at all be amenable to applied economic analysis, economic observations allegedly have to be conceived as random events that are analyzable within a probabilistic framework. But is it really necessary to model the economic system as a system where randomness can only be analyzed and understood when based on an a priori notion of probability? When attempting to convince us of the...

The problem with unjustified assumptions An ongoing concern is that excessive focus on formal modeling and statistics can lead to neglect of practical issues and to overconfidence in formal results … Analysis interpretation depends on contextual judgments about how reality is to be mapped onto the model, and how the formal analysis results are to be mapped back into reality. But overconfidence in formal outputs is only to be expected when much labor has...

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What makes economics a science? Well, if we are to believe most mainstream economists, models are what make economics a science. In a recent Journal of Economic Literature (1/2017) review of Dani Rodrik’s Economics Rules, renowned game theorist Ariel Rubinstein discusses Rodrik’s justifications for the view that “models make economics a science.” Although Rubinstein has some doubts about those justifications — models are not indispensable for telling good...

Mainstream flimflam defender Wren-Lewis gets it wrong — again! Again and again, Oxford professor Simon Wren-Lewis rides out to defend orthodox macroeconomic theory against attacks from heterodox critics. A couple of years ago, it was rational expectations, microfoundations, and representative agent modeling he wanted to save. And now he is back with new flimflamming against heterodox attacks and pluralist demands from economics students all over the world:...

Textbooks problem — teaching the wrong things all too well It is well known that even experienced scientists routinely misinterpret p-values in all sorts of ways, including confusion of statistical and practical significance, treating non-rejection as acceptance of the null hypothesis, and interpreting the p-value as some sort of replication probability or as the posterior probability that the null hypothesis is true … It is shocking that these errors seem...