Thomas Graeber

Photo Thomas Graeber I am an Assistant Professor at Harvard Business School.
My research is in behavioral and experimental economics.

In Spring 2021, I will teach Negotiations in the MBA curriculum.

[cv]     [faculty page]     [contact:]

Office location: Baker Library | Bloomberg Center 471


Cognitive Uncertainty
with Benjamin Enke
[abstract]   [pdf]   [coverage: The Economist  ·  VoxEU]
Because many economic decisions are difficult, people may exhibit cognitive uncertainty: subjective uncertainty about what the optimal action is. In the presence of such cognitive uncertainty, people implicitly compress objective probabilities towards a cognitive default of 50:50. By experimentally measuring and exogenously manipulating cognitive uncertainty, this idea brings together and partially explains a set of striking similarities in well-known behavioral anomalies in choice under risk, choice under ambiguity, belief updating, and survey forecasts of economic variables. Structural estimations show that the pronounced inverse S-shaped response patterns that pervade these literatures result from how cognitive uncertainty varies with objective probabilities.

Inattentive Inference
[abstract]   [pdf]   [additional material]
This paper studies how people make inference about a state of the world when the information structure includes additional, payoff-irrelevant states. For example, learning about effort from observed performance may require accounting for the otherwise irrelevant role of luck. This creates an attribution problem that is common to information structures with multiple causes. We report controlled experimental evidence for pervasive overinference about states that affect utility given an action, providing an explanation for a collection of well-known but previously unconnected misattribution patterns. In studying why systematic misattribution arises, we consistently find that errors are not due to excessive task complexity or deliberate effort avoidance. Instead, people form incomplete mental models of the information structure and fail to notice the need to account for alternative causes. These mental models are not stable but context-dependent: misattribution responds to a variety of attentional manipulations, but not to changes in the costs of inattention.

Heterogeneity of Gain-Loss Attitudes and Expectations-Based Reference Points
with Lorenz Goette, Alex Kellogg and Charles Sprenger
[abstract]   [pdf]   [appendix]   [instructions]
We examine the role of heterogeneity in gain-loss attitudes for identifying the leading behavioral model of expectations-based reference dependence (Kőszegi and Rabin, 2006, 2007) (KR). Failure to account for recently-documented heterogeneity in gain-loss attitudes is a central confounding factor challenging prior tests of KR, all conducted under the assumption of universal loss aversion. We implement a two-stage experimental design to first measure gain-loss attitudes, and, second, examine heterogeneous treatment effects over these attitudes in an exchange paradigm common to prior tests of KR. In both an initial experiment and an exact replication, we document the heterogeneous treatment effects over gain-loss attitudes predicted by the model. These findings provide foundational support for the KR model’s expectations-based mechanism and explain inconsistencies in prior empirical exercises conducted under the assumption of homogeneous loss aversion.

Intertemporal Altruism
with Felix Chopra, Philipp Eisenhauer and Armin Falk
[abstract]   [pdf]
Standard consumption utility is linked in time to a consumption event, whereas the timing of prosocial utility flows is ambiguous. Prosocial utility may depend on the actual utility consequences for others – it is consequence-dated – or it may be related to the act of giving and is thus choice-dated. Even though most prosocial decisions involve intertemporal trade-offs, existing models of other-regarding preferences abstract from the time signature of utility flows, limiting their explanatory scope. Building on a canonical intertemporal choice framework, we characterize the behavioral implications of the time structure of prosocial utility. We conduct a high-stakes donation experiment that allows us to identify non-parametrically and calibrate structurally the different motives from their unique time profiles. We find that the universe of our choice data can only be explained by a combination of choice- and consequence-dated prosocial utility. Both motives are pervasive and negatively correlated at the individual level.

Bayesian signatures of confidence and central tendency in perceptual judgment
with Yang Xiang, Benjamin Enke and Samuel Gershman
[abstract]   [pdf]
This paper theoretically and empirically investigates the role of Bayesian noisy cognition in perceptual judgment, focusing on the central tendency effect: the well-known empirical regularity that perceptual judgments are biased towards the center of the stimulus distribution. Based on a formal Bayesian framework, we show that measures of subjective confidence can be used to explain the central tendency effects and response variability through a Bayesian lens. Specifically, our model clarifies that lower subjective confidence as a measure of posterior uncertainty about a judgment should predict (i) a lower sensitivity of magnitude estimates to objective stimuli; (ii) a higher sensitivity to the mean of the stimulus distribution; (iii) a stronger central tendency effect at higher stimulus magnitudes; and (iv) higher response variability. To test these predictions, we collect a tailored large-scale experimental data set and additionally re-analyze perceptual judgment data from several previous experiments. Across data sets, subjective confidence is strongly predictive of the central tendency effect and response variability, both correlationally and when we exogenously manipulate the magnitude of sensory noise. Our results lend support to Bayesian explanations of both confidence and the central tendency effect.

Delayed Negative Effects of Prosocial Spending on Happiness
with Armin Falk   (Proceedings of the National Academy of Sciences, 2020, vol. 117 (12), pp. 6463-6468)
[abstract]   [pdf]   [coverage: CNN  ·  Deutschlandfunk  ·  Frankfurter Allgemeine WOCHE  ·  la Repubblica]
Does prosocial behavior promote happiness? We test this longstanding hypothesis in a behavioral experiment that extends the scope of previous research. In our Saving a Life paradigm, every participant either saved one human life in expectation by triggering a targeted donation of 350 euros or received an amount of 100 euros. Using a choice paradigm between two binary lotteries with different chances of saving a life, we observed subjects’ intentions at the same time as creating random variation in prosocial outcomes. We repeatedly measured happiness at various delays. Our data weakly replicate the positive effect identified in previous research but only for the very short run. One month later, the sign of the effect reversed, and prosocial behavior led to significantly lower happiness than obtaining the money. Notably, even those subjects who chose prosocially were ultimately happier if they ended up getting the money for themselves. Our findings revealed a more nuanced causal relationship than previously suggested, providing an explanation for the apparent absence of universal prosocial behavior.