Replication Data for: Learning to Learn from Technology Shocks (2021-2026)

This dataset contains the replication data for the paper "Learning to Learn from Technology Shocks: Second-Order Absorptive Capacity and the National Boundary of AI Labor Demand". It includes a firm-month panel dataset (181,599 observations) constructed from 2,996,433 job postings of Chinese listed firms from January 2021 to March 2026. Variables include AI-related job posting shares (genai_share, domestic_llm_share, ai_share), firm-level controls, and treatment indicators. All data are aggregated and anonymized. The accompanying Python code reproduces all tables and figures in the paper.