Replication Data for: Conflict-induced disruptions create a new regime of food price dynamics in the Gaza Strip

This dataset and code repository support the analysis and forecasts conducted in the study examining the impact of the Israel-Gaza conflict (beginning in October 2023) on the price dynamics of staple food commodities in the Gaza Strip. The study employs time-series models to identify conflict-induced price shocks and structural changes in market dynamics. The dataset includes monthly retail prices for nine key commodities (e.g., bread, chicken meat, olive oil, semolina, rice, sugar, wheat flour, milk) spanning from January 2007 to February 2025. The data cover both locally produced and imported goods, enabling the identification of differential price responses to conflict-driven supply chain disruptions. Data were cleaned, merged, and processed using a series of R scripts, with outputs saved as .RData files in the data/processed/ directory. Missing values were imputed using linear interpolation or ARIMA models, depending on the extent of the gaps. *Scripts and Data Access*: The provided R scripts include direct links and instructions for accessing regularly updated food price data from public repositories (e.g., FAO FPMA, World Bank, CBS). Users can download the latest datasets using the links embedded in the scripts and follow the included documentation to replicate the data processing and analysis workflows.

本数据集与代码仓库支撑本研究的分析与预测工作，该研究聚焦2023年10月爆发的以巴冲突对加沙地带主食商品价格动态的影响。
本研究采用时间序列模型，以识别冲突引发的价格冲击与市场动态的结构性变化。
本数据集涵盖2007年1月至2025年2月期间9类核心主食的月度零售价格，包括面包、鸡肉、橄榄油、粗粒小麦粉、大米、食糖、小麦粉、牛奶等。
数据涵盖本地生产与进口商品，可用于分析供应链受冲突冲击后不同商品的差异化价格响应。
本数据集通过一系列R脚本完成清洗、合并与处理，处理后的输出文件以.RData格式存储于data/processed/目录下。
针对缺失值，根据缺失缺口的规模，分别采用线性插值法或ARIMA模型进行插补。
*脚本与数据获取*：提供的R脚本包含访问公开仓库中定期更新的食品价格数据的直接链接与操作说明，相关公开仓库包括FAO FPMA、世界银行（World Bank）、CBS。
用户可通过脚本内嵌的链接下载最新数据集，并按照附带的文档复现数据处理与分析流程。