Uncovering Salience-Driven Dynamics in Consumer Confidence with Generative Social Simulation
Consumer confidence is typically modeled as a persistent macroeconomic index, yet its movements arise from households that interpret economic information through heterogeneous constraints, exposures, prior beliefs, and attention. We introduce ConsumerSim, a generative Human--Environment response framework that reconstructs Consumer Confidence Index (CCI) dynamics from a microdata-calibrated synthetic population, time-stamped macroeconomic, financial, policy, and news signals, survey-like response generation, post-stratified belief expansion, and behavioral inertia alignment. Across U.S., EU27,
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- FuzzySimilar title/name (fuzzy) · 59%steven2358/awesome-generative-ai →
“Fuzzy title match (0.73): “Uncovering Salience-Driven Dynamics in Consumer Confidence w” ≈ “steven2358/awesome-generative-ai””
- FuzzySimilar title/name (fuzzy) · 84%GoogleCloudPlatform/generative-ai →
“Fuzzy title match (0.92): “Uncovering Salience-Driven Dynamics in Consumer Confidence w” ≈ “GoogleCloudPlatform/generative-ai””