How Good are Weather Shocks for Identifying Energy Elasticities? A LASSO-IV Approach to European Natural Gas Demand

The file includes an R script for generating IV, post-LASSO IV, and post-LASSO OLS models in order to estimate residential price elasticity for 23 European Union countries at panel and country-level. The results of the models are explained in the paper entitled "How Good are Weather Shocks for Identifying Energy Elasticities? A LASSO-IV Approach to European Natural Gas Demand". Since the monthly price data is confidential data provided by VaasaETT, we could not provide the dataset used in this study.

本文件包含一段R脚本，用于生成工具变量（Instrumental Variable，IV）、后LASSO工具变量（post-LASSO IV）以及后LASSO普通最小二乘（post-LASSO OLS）模型，以估算23个欧盟成员国在面板与国别层面的住宅价格弹性。上述模型的研究结果已在题为《天气冲击在识别能源弹性方面效果如何？基于欧洲天然气需求的LASSO-IV方法》（"How Good are Weather Shocks for Identifying Energy Elasticities? A LASSO-IV Approach to European Natural Gas Demand"）的论文中进行了阐述。由于月度价格数据为VaasaETT提供的保密资料，本研究所使用的数据集无法对外公开。