Microfiche reel · crank through the variations
Loss Aversion
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Reel · loss-aversion
Loss Aversion
The tendency for losses to weigh more heavily on choices than objectively equivalent gains, so people will exert disproportionate effort or accept worse odds to avoid a loss than to secure the same-sized gain.
“losses loom larger than gains”
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Provenance
Where it was first filed
Daniel Kahneman & Amos Tversky, 1979 — Prospect Theory: An Analysis of Decision under Risk. The concept that 'losses loom larger than gains' was articulated as a core component of prospect theory's value function, which is steeper for losses than for gains. The riskless-choice formalization and a reference-dependent model came later in Tversky & Kahneman (1991, QJE). Kahneman received the 2002 Nobel Memorial Prize in Economics for this body of work (Tversky had died in 1996).
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Tested variation 1
Prospect theory value function (founding claim)
Choices implied a value function that is concave for gains, convex for losses, and markedly steeper for losses than for gains - the original statement of loss aversion.
Daniel Kahneman, Amos Tversky, 1979 · yield not reported as a single lambda in the 1979 paper; loss aversion expressed qualitatively as a steeper loss limb of the value function · groups of respondents (often students and faculty); problem-level Ns reported per item, not a single overall N
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Tested variation 2
Reference-dependent riskless choice / lambda estimate
Losses and disadvantages weigh more than commensurate gains; the 1991 QJE paper formalizes this qualitatively for riskless choice. The widely cited lambda ≈ 2.25 figure was estimated in the subsequent Tversky & Kahneman (1992) paper 'Advances in Prospect Theory: Cumulative Representation of Uncertainty' (Journal of Risk and Uncertainty 5(4):297-323, N=25), not in the 1991 QJE paper.
Amos Tversky, Daniel Kahneman, 1991 · yield lambda approx 2 in the broad literature; the specific estimate of 2.25 derives from Tversky & Kahneman (1992, Journal of Risk and Uncertainty 5(4):297-323), not from the 1991 QJE paper; treat as canonical-textbook value, not a precise single result from the 1991 work · not a single fixed N; the 1991 QJE paper draws on choice experiments; the 1992 CPT estimate used N=25
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Tested variation 3
Endowment effect (Cornell mugs)
Owners demanded roughly twice what buyers would pay (median WTA around $5.25 vs WTP around $2.25-$2.75), so far fewer mugs traded than the Coase theorem predicts - taken as evidence of loss aversion over the endowed good.
Daniel Kahneman, Jack L. Knetsch, Richard H. Thaler, 1990 · yield WTA/WTP ratio approximately 2:1; trading volume well below the ~50% Coasean prediction · Cornell University undergraduates across multiple sessions
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Tested variation 4
Neural basis of loss aversion (fMRI)
As potential losses increased, activity in reward-related regions (e.g., ventral striatum, ventromedial PFC) decreased more steeply than it increased for equivalent gains ('neural loss aversion'), and this neural asymmetry tracked individual behavioral loss aversion.
Sabrina M. Tom, Craig R. Fox, Christopher Trepel, Russell A. Poldrack, 2007 · yield correlation between neural and behavioral loss aversion reported as significant; exact r not extracted here · 16 participants
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Method
How the judgment forms
In prospect theory the carrier of value is the change from a reference point, not the final wealth state; the value function is steeper in the loss domain than the gain domain, so a given deviation hurts more as a loss than it pleases as a gain. This reference dependence is hypothesized to drive downstream phenomena: the endowment effect (giving up an owned good is coded as a loss), the disposition effect (selling at a loss realizes the painful loss), and conservative effort to avoid falling below a salient reference (par, the status quo). Neuroeconomic accounts locate an asymmetry in reward-circuit responses to potential losses vs gains.
Critics argue the data are better explained without a special loss-specific weighting. Gal & Rucker (2018) and Yechiam (2019) contend that apparent loss aversion often reduces to status-quo/inertia bias, risk aversion, or attentional asymmetries, and that the effect vanishes for small-to-moderate stakes; on this view 'losses loom larger' is a context-dependent regularity, not a universal psychological constant. A 2025 re-meta-analysis argues loss aversion appears mainly when the design makes losses larger than gains or uses ordered payoffs.
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Verdict · replication
contested
The largest synthesis to date - Brown, Imai, Vieider & Camerer (2024, Journal of Economic Literature), pooling 607 estimates from 150 articles - found a mean lambda of 1.955 (95% interval ~1.82-2.10), supporting loss aversion on average in risky-gamble paradigms. But the phenomenon is openly disputed: Gal & Rucker (2018) and Yechiam (2019) argue the general principle is overstated and largely absent for small-to-moderate losses, often confounded with status-quo bias; a 2025 re-meta-analysis ('Loss aversion is not robust') reworking the Brown et al. dataset concludes loss aversion mainly emerges when losses are designed to exceed gains or with ordered payoffs. Mrkva et al. (2020) push back, showing robust loss aversion with moderators across representative samples. Net: robust in classic risky-choice designs, but its universality and boundary conditions are genuinely contested.
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On record
Documented in the wild
Disposition effect: investors reluctant to realize losses · 1998
Terrance Odean analyzed trading records for 10,000 accounts at a large discount broker (1987-1993) and found investors realized gains at roughly a 50% higher rate than losses (proportion of gains realized ~14.8% vs proportion of losses realized ~9.8% outside December; PGR/PLR ≈ 1.51), holding losing stocks too long - a pattern interpreted via prospect theory / loss aversion.
Loss aversion among PGA Tour golfers (incl. Tiger Woods) · 2011
Pope & Schweitzer analyzed ~2.5 million putts from 239 PGA tournaments (2004-2009, 421 pros). Players sank par putts about 2 percentage points more often than equidistant birdie putts, because missing par is coded as a loss relative to the salient reference point (par) - persisting despite experience, competition, and high stakes.
Endowment effect in lab markets (Cornell mugs) · 1990
Owners of randomly assigned mugs demanded roughly double what buyers would pay (median WTA ~$5.25 vs WTP ~$2.25-2.75), so trade volume fell far short of the Coase-theorem prediction - a documented market-level manifestation attributed to loss aversion over the endowed good.
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Final frame · the counter-move
Re-frame the decision in terms of final outcomes and total wealth rather than gains/losses from an arbitrary reference point, and explicitly check the symmetric version ('would I make this choice if it were framed as a gain?'). Because the effect is weak or absent for small-to-moderate stakes and confoundable with status-quo bias, force a comparison to the do-nothing baseline and use pre-committed decision rules (e.g., automatic rebalancing, stop-losses) to remove the in-the-moment loss signal.
Status-quo/inertia confounds and the small-stakes failure of loss aversion are documented by Gal & Rucker (2018) and Yechiam (2019); Tversky & Kahneman's framing demonstrations show reference-point reframing flips choices.
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Adjacent reels
- Endowment EffectOften explained as a consequence of loss aversion: parting with an owned good is coded as a loss, inflating willingness-to-accept relative to willingness-to-pay.
- Status Quo BiasCritics (Gal & Rucker) argue much apparent loss aversion is really inertia/preference for the current state; the two are hard to disentangle empirically.
- Prospect TheoryLoss aversion is one structural feature of prospect theory's value function (steeper for losses than gains).
- Disposition EffectThe investor tendency to sell winners and hold losers, derived from prospect-theory value function curvature and loss aversion.
- Sunk Cost FallacyBoth involve reluctance to accept a loss; persisting in a failing course can be framed as avoiding the pain of realizing a loss.
- Risk AversionDistinct construct: risk aversion concerns curvature of utility over outcomes, while loss aversion concerns the gain-vs-loss asymmetry around a reference point; some re-analyses argue loss-aversion findings partly reflect ordinary risk aversion.