We study the rationality of individual and consensus professional forecasts of macroeconomic and financial variables using the methodology of Coibion and Gorodnichenko (2015), which examines predictability of forecast errors from forecast revisions. We report two key findings: forecasters...

We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and speculation (buying for...

We explore the idea that judgment by representativeness reflects the workings of episodic memory, especially interference. In a new laboratory experiment on cued recall, participants are shown two groups of images with different distributions of colors. We find that i) decreasing the frequency...

Simonsohn and Loewenstein (SL 2006) present evidence that a household moving from one US city to another tends to pay a rent level that is closer to the city of origin, relative to comparable locals. Building on “Memory, Attention, and Choice” (BGS 2019), we show that these effects emerge...

We present a model of judgment under uncertainty, in which an agent combines data received from the external world with information retrieved from memory to evaluate a hypothesis. We focus on what comes to mind immediately, as the agent makes quick, intuitive evaluations. Because the automatic...

We present a model of judicial decision making in which the judge overweights the salient facts of the case. The context of the judicial decision, which is comparative by nature, shapes which aspects of the case stand out and draw the judge's attention. By focusing judicial attention on such...

We present a model of stereotypes in which a decision maker assessing a group recalls only that group's most representative or distinctive types relative to other groups. Because stereotypes highlight differences between groups, and neglect likely common types, they are especially inaccurate...