Suppose we get rid of economists and their models; then what do we use in their place to guide policy? Our intuition? No thanks. If someone has a superior theory of the economy, they must show it with logic and empirical observation. Until they do, we are stuck with our more flawed models.
Controlled small-scale experiments? Ethnography? Historical analysis? Debate among stakeholders?
Why do decisions have to be justified using mathematical models? Especially when those models have to be simplified to the point where they're really just "stories" (Paul Krugman's words) about economies? Why not just tell the stories in English?
In a number of fields where the object of study is particularly complex - biology and medicine being notable examples - mathematical models are ineffective. What makes you think the economy is different?
Before the 70s/80s, everyone was somewhat confused about what they were arguing, particularly in macroeconomics. Now it's much clearer the kinds of claims we are making about the world.
Mathematics might force you to be internally consistent, but it also forces you to make bad assumptions. You can prove anything by reasoning from a faulty premise.
And one important thing we learned from those models (which I agree do not work) is that we don't get business cycles from irrationality or from agent heterogeneity -- we get them from the failure of markets to clear. Economists were confused about this for like a century, and thanks to mathematical modeling it became clear.
That seems like a profoundly narrow viewpoint to me. I mean maybe you're right in the sense that there might be an equation that governs the evolution of the universe, but are you really saying mathematical models are the only way to approach research?
If so I strongly recommend you do some scientific reading outside of economics and physics. I think most interesting phenomena in the world are too complex to capture in mathematics. Physics is a profound outlier in that regard.
> And one important thing we learned from those models (which I agree do not work) is that we don't get business cycles from irrationality or from agent heterogeneity -- we get them from the failure of markets to clear. Economists were confused about this for like a century, and thanks to mathematical modeling it became clear.
I really don't think that's clear at all.
If you're building an economic model and they economy enters a regime that you haven't seen before in your data, your model calibration is going to crumble. So maybe good models can be distinguished from bad when predicated on the assumption that the near future looks like the past. But when that changes (i.e. when you need your models most) is when your models become least reliable.