The adoption of artificial intelligence (AI) prediction of demand by a monopolist firm is examined. It is shown that …, in the absence of AI prediction, firms face complex trade-offs in setting price and quantity ahead of demand that impact …

effects of fake reviews on individual demand and welfare. We conduct an incentive-compatible online experiment with a …

specific feature and estimate its impact on lender demand. We then counterfactually evaluate alternative platform policies and …

cross-sectional variation. On average, the bias increases in the forecast horizon, and analysts revise their expectations …

aligns with extant measures of disagreement (e.g., analyst forecast dispersion), but is a significantly stronger predictor of … disagreement and future returns. A decile spread portfolio that is short stocks with high forecast disagreement and long stocks …

discrete choice models of demand compared to simpler alternatives. In 2013, Boston Public Schools (BPS) proposed alternative …. Pathak and Shi (2013) estimated discrete choice models of demand using families' historical choices and these demand models … were used to forecast the outcomes under alternative plans. BPS, the school committee, and the public used these forecasts …

substantiates both supply and demand effects of past price trends in housing markets, particularly with respect to subprime mortgage …-loan collateral values may have affected both the demand and the supply of mortgages. Standard time series models using repeat …

Can measured risk attitudes and associated structural models predict insurance demand? In an experiment (n = 1,730), we …