关于在数字经济中改进CPI基本分类指数编制方法的研究
1School of Statistics and Mathematics, Inner Mongolia University of Finance and Economics, Inner Mongolia, China.
PloS one
|May 7, 2025
概括
本研究为快速变化的信息和通信技术 (ICT) 产品引入了改进的价格指数模型. 新的Hedonic-SV-RYGEKS模型准确地跟踪价格,考虑到质量变化和产品替代.
科学领域:
- 经济学 经济学 经济学
- 计量经济学 计量经济学
- 信息科学 信息科学 信息科学
背景情况:
- 信息和通信技术 (ICT) 产品对数字经济至关重要.
- 传统的价格指数模型难以应对ICT商品的快速更新率和独特的替代弹性.
- 准确的价格索引对于编制消费者价格指数 (CPI) 至关重要.
研究的目的:
- 为ICT产品开发一个改进的价格指数模型,以应对产品快速过时和质量变化等挑战.
- 构建Hedonic-SV-RYGEKS价格指数模型,以考虑不匹配的项目处理,产品替代弹性和链流动.
- 通过比较连锁和固定基准价格指数来评估拟议模型的合理性.
主要方法:
- 开发了一种 hedonic 质量调整模型,使用特征变量来调整不匹配产品的价格.
- 构建了 Hedonic-SV-RYGEKS 价格指数模型,整合了 Hedonic 和 SV 指数原则.
- 利用每周的手机价格数据和每月的笔记本电脑价格数据进行模型测试.
- 使用SPSS宏和Python编程来计算价格指数.
主要成果:
- 赫多尼克的质量调整模型被证明适用于调整不匹配的ICT产品的价格.
- 赫多尼克-SV-RYGEKS模型有效地处理了由于时间间样本匹配率低而导致的样本不可比较性.
- 该模型成功地减轻了由产品快速更新引起的价格指数的链式偏移.
- 分别为手机和笔记本电脑计算的每周和每月价格指数.
结论:
- 提出的Hedonic-SV-RYGEKS模型提供了一种强大的方法,用于编制快速发展的ICT产品的价格指数.
- 该模型通过解决质量调整,替代弹性和链漂移来改进传统方法.
- 这项研究为增强和创新的价格指数编制不匹配的项目提供了宝贵的见解.
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