Department of Economics
Littauer Center M-8
Cambridge, MA 02138
Institutional Affiliation: Harvard University
Information about this author at RePEc
NBER Working Papers and Publications
|October 2019||Expectations-Based Loss Aversion May Help Explain Seemingly Dominated Choices in Strategy-Proof Mechanisms|
with Bnaya Dreyfuss, Ori Heffetz: w26394
Deferred Acceptance (DA), a widely implemented algorithm, is meant to improve allocations: under classical preferences, it induces preference-concordant rankings. However, recent evidence shows that—in both real, large-stakes applications and experiments—participants frequently play seemingly dominated, significantly costly, strategies that avoid small chances of good outcomes. We show theoretically why, with expectations-based loss aversion, this behavior may be partly intentional. Reanalyzing existing experimental data on random serial dictatorship (a restriction of DA), we show that such reference-dependent preferences, with a degree and distribution of loss aversion that explain common levels of risk aversion elsewhere, fit the data better than no-loss-aversion preferences.
|October 2017||Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments|
with Daniel J. Benjamin, Don A. Moore: w23927
This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be balanced between heads and tails. Consistent with the Non-Belief in the Law of Large Numbers (NBLLN), participants underestimated the likelihood that large samples would be close to 50% heads. However, we identify some shortcomings of existing models of LSN, and we find that NBLLN may not be as stable as previous studies suggest. We also find evidence for exact representativeness (ER), whereby people tend to exaggerate the likelihood that samples will (nearly) exactly mirror the underlying odds, as an additional bias beyond LSN. Ou...
|May 2015||Financial Markets where Traders Neglect the Informational Content of Prices|
with Erik Eyster, Dimitri Vayanos: w21224
We present a model of a financial market where some traders are "cursed" when choosing how much to invest in a risky asset, failing to fully take into account what prices convey about others' private information. Cursed traders put more weight on their private signals than rational traders. But because they neglect that the price encodes other traders' information, prices depend less on private signals and more on public signals than rational-expectation-equilibrium (REE) prices. Markets comprised entirely of cursed traders generate more trade than those comprised entirely of rationals; mixed markets can generate even more trade, as rationals employ momentum-trading strategies to exploit cursed traders. We contrast our results to other models of departures from REE and show that per-trader...
Published: ERIK EYSTER & MATTHEW RABIN & DIMITRI VAYANOS, 2019. "Financial Markets Where Traders Neglect the Informational Content of Prices," The Journal of Finance, vol 74(1), pages 371-399. citation courtesy of
|January 2001||Risky Behavior among Youths: Some Issues from Behavioral Economics|
with Ted O'Donoghue
in Risky Behavior among Youths: An Economic Analysis, Jonathan Gruber, editor