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The Law of Small Numbers in Multivariate Sequences
The Law of Small Numbers in Multivariate Sequences
The Law of Small Numbers in Multivariate Sequences
The Law of Small Numbers in Multivariate Sequences
The Law of Small Numbers in Multivariate Sequences
20Jun
Economics

The Law of Small Numbers in Multivariate Sequences

20 Jun 2024 | 11:00 a.m. - 12:30 p.m.
KK 910, K. K. Leung Building, HKU
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Speaker:

Dr. Matthew Levy
Lecturer in Economics
Department of Economics
London School of Economics

Abstract:

This paper shows that, under modest consistency requirements placed on a decision-maker’s beliefs, distortion of subjective beliefs over the conditional distributions of outcomes cannot be global over all sequences. Specifically, while it is possible for a decision-maker to commit the Gambler’s Fallacy (or Hot-hand Fallacy) over multiple independent sequences, it is always possible to construct a data-generating process consisting only of i.i.d. processes with at least one sequence over which the decision-maker is unbiased in all histories of arbitrary length. This further implies that if the decision-maker does distinguish between histories of i.i.d. sequences, then they cannot commit the Gambler’s Fallacy at all. A simple experiment demonstrates that subjects indeed do not treat all i.i.d. sequences identically, and highlights the importance of framing in creating and maintaining belief in the Gambler’s Fallacy.

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The Law of Small Numbers in Multivariate Sequences
About Speaker
Dr. Matthew Levy

Lecturer in Economics, Department of Economics, London School of Economics

The Law of Small Numbers in Multivariate Sequences
20 Jun 202411:00 a.m. - 12:30 p.m.
KK 910, K. K. Leung Building, HKU
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