Web从消费者价格指数中抓取数据

Q3 Decision Sciences

Statistical Journal of the IAOS Pub Date : 2023-01-14 DOI:10.3233/sji-220115

Peter Knížat

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引用次数: 0

摘要

消费者行为的变化，消费者更喜欢通过互联网购买一些产品，要求重新审视传统的数据收集，并集成自动在线数据收集，也称为数据网络抓取，用于官方价格统计的产品价格。在本文中，我们展示了汇总每日网络刮取的价格数据以确定每月价格的不同方法，这些方法通常被美国国家统计研究院用于估计消费者价格指数。此外，还提出了用于估计指数的各种经济方法，这些方法捕捉了产品项目的价格动态，如替代品和缺失价格，并将其应用于观察到的网络抓取数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Web scraped data in consumer price indices

The changes in the consumer behavior, a consumer prefers to purchase some products through internet, calls for revisiting of the traditional data collection and integration of the automated online data collection, also called data web scraping, of products’ prices for official price statistics. In this paper, we demonstrate different methods for aggregating daily web scraped price data to determine monthly prices that are normally used by National Statistical Institutes in the estimation of consumer price indices. Moreover, various economic approaches for estimating indices, which capture price dynamics of product items such as replacements and missing prices, are presented and applied to the observed web scraped data.

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来源期刊

Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics

CiteScore

1.30

自引率

0.00%

发文量

116

期刊介绍： This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.