ARDL Analysis of Gas Consumption in the European Union (1990–2022)

Liashenko, Oksana, Pavlov, Kostiantyn, Pavlova, Olena, JAMRÓZ, ANDRZEJ, Kopeć, Sławomir
2025 · doi:10.5281/zenodo.15937719 · W6930702565
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Abstract

This repository contains the Python code and dataset used in the paper:"Gas in Transition: An ARDL Analysis of Economic and Fuel Drivers in the European Union" Files- `EU_Only_Energy_Data.xlsx` – Annual energy and GDP data - `ARDL_EU_Gas_Analysis.py` – Main analysis script - ARDL_EU_Gas_Analysis_FULL.py - Full analysis script- `Processed_EU_Data.csv` – Cleaned data used in analysis- `ARDL_Fitted_vs_Actual.png` – Output graph from the model- `README.md` – This file Requirements- Python 3.8+- pandas, numpy, matplotlib, statsmodels, openpyxl How to Run1. Install requirements: `pip install pandas numpy matplotlib statsmodels openpyxl`2. Run the script: `python ARDL_EU_Gas_Analysis.py`
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ARDL Analysis of Gas Consumption in the European Union (1990–2022) Authors/Creators Description This repository contains the Python code and dataset used in the paper: "Gas in Transition: An ARDL Analysis of Economic and Fuel Drivers in the European Union" Files - `EU_Only_Energy_Data.xlsx` – Annual energy and GDP data - `ARDL_EU_Gas_Analysis.py` – Main analysis script - ARDL_EU_Gas_Analysis_FULL.py - Full analysis script - `Processed_EU_Data.csv` – Cleaned data used in analysis - `ARDL_Fitted_vs_Actual.png` – Output graph from the model - `README.md` – This file Requirements - Python 3.8+ - pandas, numpy, matplotlib, statsmodels, openpyxl How to Run 1. Install requirements: `pip install pandas numpy matplotlib statsmodels openpyxl` 2. Run the script: `python ARDL_EU_Gas_Analysis.py` Files ARDL_Fitted_vs_Actual.png Files (188.7 kB) | Name | Size | Download all | |---|---|---| | md5:b7e174ef32961803644666f3d94c631e | 1.2 kB | Download | | md5:5eab1d30848cc1b2f12ec26ca08cb52b | 3.0 kB | Download | | md5:4b694ba17cbeb8234d3e76a2e83333a5 | 182.1 kB | Preview Download | | md5:4f22667b51c61e2d18cac6418ec3300f | 1.6 kB | Preview Download | | md5:2e31395e66bc853acb3893f01d152f5d | 725 Bytes | Preview Download | | md5:1ab7960471040984b1368f4bd4c3b1ae | 46 Bytes | Preview Download |

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