2 papers
cs.CL2026
HouseholdBench: Evaluating Large Language Models as Predictors of Household Economic Behavior
Jin Huang, Diego Ferreras Garrucho, Yutong Xie +4
Large language models (LLMs) have the potential to meet a key goal in economics: a quantitative model of household decision making, across a variety of settings. Yet existing evalu…
econ.GN2026
Forecasting Inflation with Microdata: An Adaptive Machine Learning Approach
Catherine Chen, Chen Gao, Jonathon Hazell +2
Does microeconomic heterogeneity help to forecast aggregate inflation in a non-stationary environment? We develop a scan test for whether one forecast outperforms another, over an…