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Lars Pålsson Syll
Professor at Malmö University. Primary research interest - the philosophy, history and methodology of economics.

Lars P. Syll

Macroeconomic uncertainty

The financial crisis of 2007-08 hit most laymen and economists with surprise. What was it that went wrong with our macroeconomic models, since they obviously did not foresee the collapse or even make it conceivable? There are many who have ventured to answer this question. And they have come up with a variety of answers, ranging from the exaggerated mathematization of economics to irrational and corrupt politicians. But the root of our problem goes much deeper. It ultimately...

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RCTs — assumptions, biases and limitations

RCTs — assumptions, biases and limitations Randomised experiments require much more than just randomising an experiment to identify a treatment’s effectiveness. They involve many decisions and complex steps that bring their own assumptions and degree of bias before, during and after randomisation … Some researchers may respond, “are RCTs not still more credible than these other methods even if they may have biases?” For most questions we are interested in,...

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Randomised controlled trials — a retreat from the bigger questions

Randomised controlled trials — a retreat from the bigger questions Nobel prizes are usually given in recognition of ideas that are already more or less guaranteed a legacy. But occasionally they prompt as much debate as admiration. This year’s economics award, given to Abhijit Banerjee, Esther Duflo and Michael Kremer … recognised the laureates’ efforts to use randomised controlled trials (RCTs) to answer social-science questions … RCT evangelists sometimes...

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1855 — the birth of causal inference

1855 — the birth of causal inference  [embedded content] If anything, Snow’s path-breaking research underlines how important it is not to equate science with statistical calculation. All science entail human judgement, and using statistical models doesn’t relieve us of that necessity. Working with misspecified models, the scientific value of statistics is actually zero — even though you’re making valid statistical inferences! Statistical models are no...

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