Economics Insights @ CBS

We demonstrate that counterfactuals prime a mental simulation mind-set in which relevant but potentially converse alternatives are considered and that this mind-set activation has behavioral consequences. This mind-set is closely related to the simulation heuristic (Kahneman & Tversky, 1982). Participants primed with a counterfactual were more likely to solve the Duncker candle problem (Experiment 1), suggesting that they noticed an alternative function for one of the objects, an awareness that is critical to solving the problem.

This article presents an empirical model of housing supply derived from urban growth theory. This approach describes new housing construction as a function of changes in house prices and costs rather than as a function of the levels of those variables, which previous studies have used. Empirical tests support this specification over the leading alternative models. Our estimates show that a 10% rise in real prices leads to an 0.8% increase in the housing stock, which is accomplished by a temporary 60% increase in the annual number of starts, spread over four quarters.

A study examines the sale of a product across channels. Using data from 35 movies, exponential sales curves are estimated for both theater attendance and video rentals. How knowledge of the sales parameters in the first channel helps predict sales in the subsequent channel is demonstrated.

This paper proposes and anlyzes discrete-time approximations to a class of diffusions, with an emphasis on preserving certain important features of the continuous-time processes in the approximations. We start with multivariate diffusions having three features in particular: they are martingales, each of their components evolves within the unit interval, and the components are almost surely ordered.