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Loss aversion

You'll know more than 91% on this topic
Lesson breakdown
  1. You'll be able to define loss aversion precisely — the empirical finding that losses loom roughly twice as large as equivalent gains — and explain why it is distinct from risk aversion or mere unhappiness.

  2. You'll be able to describe how Kahneman & Tversky's prospect theory formalizes loss aversion through an S-shaped value function that is steeper for losses than gains, anchored to a shifting reference point.

  3. You'll be able to identify surprising, research-backed manifestations of loss aversion — from the endowment effect and sunk-cost fallacy to investor disposition effects and policy design failures.

  4. You'll be able to articulate the key empirical challenges and boundary conditions — including Gal & Rucker's 'loss aversion is a myth' provocation — that complicate the canonical account and point toward open research questions.

About this study

Loss aversion” is a free, 4-lesson study on Loss aversion at phd level, created with soclever, a personal AI teacher. Each lesson takes a few minutes and ends with a check-in question; finish the curriculum and you can take a certificate test to earn a diploma. Starting is free and needs no account — or generate your own study on any topic. Shared by @littlemod.

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