Learning, public good provision, and the information trap
We consider an economy where decision maker(s) do not know the true production function for a public good. By using Bayes rule they can learn from experience. We show that the economy may learn the truth, but that it may also converge to an inefficient policy where no further inference is possible so that the economy is stuck in an information trap. We also show that our results are robust with respect to experimentation.
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