Inflation narratives and expectations
I study how demand-supply narrative disagreement between general and specialized newspapers can explain households’ absolute gap in inflation expectations with experts. I measure inflation narratives via a Causality Extraction algorithm that can identify causal relationships between events in a text and, hence, extract the perceived triggers of inflation. Causal relations can explain why narratives affect people’s beliefs and cannot be captured by dictionary methods, topic models, and word embeddings.