Impact of Oil Price Shocks on Japanese Industries

Description

This upload provides the replication code and the processed dataset used in the empirical analysis of the paper. Code.ipynb is the Python notebook that reproduces the main analysis (data loading, transformations, estimation, and creation of figures/tables). 分析用データ.csv contains processed monthly series for Japan’s Index of Industrial Production (IIP; 2015=100, seasonally adjusted) and Corporate Goods Price Index (CGPI; 2015=100, seasonally adjusted), where IIP is obtained from the Ministry of Economy, Trade and Industry (METI) and CGPI from the Bank of Japan (BOJ). OECD_plus6_industrial_production.csv provides the monthly World Industrial Production (WIP) series (proxy for global real economic activity), retrieved from James D. Hamilton’s website. WTISPLC1.csv provides the monthly average spot crude oil price WTI (West Texas Intermediate), retrieved from FRED. All series are monthly. The included data are processed/compiled for replication purposes; users should cite the original data providers listed above when using the underlying sources.

Steps to reproduce

Download all files. Open Code.ipynb and run all cells from top to bottom in a Python environment (e.g., Jupyter). The notebook loads 分析用データ.csv (IIP and CGPI) and the auxiliary series (OECD_plus6_industrial_production.csv for WIP and WTISPLC1.csv for WTI), applies the same transformations as in the paper, estimates the model, and reproduces the main figures/tables.

Institutions

• Kobe University

  Hyōgo, Kobe

Categories

Funders

• Japan Science and Technology Agency

  Tokyo

  Grant ID: JPMJSP2148

Licence