The Importance of Statistics in Insurance

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Insurers in turn reinsure their risk and sometimes the reasons are because you know there is some risk of a correlated shock. But on the other hand if you're saying ensure who's ensuring against natural disasters yeah it's going to say slow entrance flights etc. And so it's clear why as the seller of insurance as the insurance company we really do want to have a good statistical grasp on what the pool is that we're selling to what the risks are etc.

If you knew exactly when every person was going to die, or require medical care, you could make a killing buying and selling insurance. Nobody knows these things, of course -- the future is hard to predict -- but some people know something about the future that other people don't. This sets up adverse selection: the ability of one party to leverage information another party doesn't have, in order to gain an economic advantage. Economist Amy Finkelstein is an expert in this phenomenon, as well as the usefulness of empirical studies in economic research.

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Amy Finkelstein received her Ph.D. in economics from the Massachusetts Institute of Technology. She is currently John & Jennie S. MacDonald Professor of Economics at MIT. She is the co-director and research associate of the Public Economics Program at the National Bureau of Economic Research, and the co-Scientific Director of J-PAL North America. Among her awards are a MacArthur Fellowship and the John Bates Clark Medal. Her recent book, with co-authors Liran Einav and Ray Fisman, is Risky Business: Why Insurance Markets Fail and What to Do About It.

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