China's demographic dividend has moved from age-based labor supply to skill-based productivity
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This repository provides a comprehensive replication package supporting the findings of this study, comprising the city-level panel data and Stata codes necessary to reproduce the main empirical results (Table 1), along with the underlying datasets for the spatiotemporal visualizations (Figures 1 and 2) and projection simulations (Figure 5). Please note that the datasets provided herein also serve as the source for all remaining figures and visualizations beyond those explicitly listed. To ensure transparency and reproducibility in constructing the Task-based Skill Ratio (TSR), we provide intermediate data covering the entire process from occupational description matching to task attribute classification, including multi-source classification results from manual coding, GPT-5, and Gemini 2.5 Pro for robustness verification.
本仓库提供了支撑本研究结论的完整复现套件,包含可复现主要实证结果(表1)所需的城市层面面板数据与Stata代码,同时附带时空可视化(图1与图2)及投影模拟(图5)所用的基础数据集。请注意,本文所提供的数据集同时也是除上述明确列出的图表之外所有剩余图表与可视化成果的数据源。为保障任务型技能比率(Task-based Skill Ratio, TSR)构建流程的透明度与可复现性,我们提供了从职业描述匹配到任务属性分类的全流程中间数据,其中涵盖人工编码、GPT-5及Gemini 2.5 Pro生成的多源分类结果,用于稳健性检验。



