Write a short note on Allais paradox and Ellsberg paradox.
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Allais Paradox vs. Ellsberg Paradox
Allais Paradox:
Definition: The Allais Paradox is a phenomenon in decision theory where individuals exhibit inconsistent choices in certain types of decision-making scenarios involving risk and uncertainty.
Scenario: In the classic Allais Paradox scenario, individuals are presented with two choices:
Inconsistency: Despite the expected value of both choices being the same ($100,000), many individuals tend to prefer choice A over choice B, even though choice B offers a higher potential payoff.
Ellsberg Paradox:
Definition: The Ellsberg Paradox is a similar phenomenon in decision theory involving ambiguity and uncertainty, named after the American economist Daniel Ellsberg.
Scenario: In the classic Ellsberg Paradox scenario, individuals are presented with an urn containing 90 red balls and 10 black balls. They are then asked to make two choices:
Inconsistency: Despite the information being the same for both choices in each pair (e.g., 50% chance of drawing a red or black ball from the second urn), individuals tend to exhibit inconsistent preferences, often showing a preference for the known probabilities over unknown probabilities.
Key Differences:
Risk vs. Ambiguity: The Allais Paradox involves choices between known probabilities (risk), while the Ellsberg Paradox involves choices between unknown probabilities (ambiguity).
Certainty Effect: The Allais Paradox is often attributed to a "certainty effect," where individuals prefer certain outcomes over uncertain outcomes, even when the uncertain outcomes offer higher expected value. The Ellsberg Paradox, on the other hand, is often attributed to a preference for known probabilities over unknown probabilities, known as the "ambiguity aversion."
In summary, while both paradoxes highlight inconsistencies in decision-making under risk and uncertainty, the Allais Paradox focuses on choices between known probabilities, while the Ellsberg Paradox focuses on choices between unknown probabilities.