US consumer prices data 2017-18 for sub-national CPI-U calculations using TiPRD model and R implementation

This data is a portion of a larger dataset, composed by over 120 million data points, collected by Starsift LLC for the Grocerybear Project (www.grocerybear.com) every day between January 2017 and May 2018 for over 50,000 unique items in about 750 commercial categories for eleven US cities: Boise, Honolulu, Houston, Las Vegas, Los Angeles, Orlando, Phoenix, Portland, San Francisco, Seattle, and Washington DC.
This dataset is composed by 5 csv files, one for each CPI-U Entry Level Item disclosed: Apples, Bread, Butter, Cigarettes, and Coffee. Each file presents the following columns: Year, Month, Product name, Product code, City, Store Chain, Average price in the month.
Store chains have been anonymized.
This project also includes an R file to calculate sub-national consumer price indexes using the Time-interaction-Region Product Dummy (TiRPD) model.

本数据集系由 Starsift LLC 收集，作为 Grocerybear 项目（www.grocerybear.com）的一部分，该项目自2017年1月至2018年5月每日收集超过1.2亿个数据点，涵盖约750个商业类别中的5万个独特商品，针对美国十一座城市：博伊西、檀香山、休斯顿、拉斯维加斯、洛杉矶、奥兰多、凤凰城、波特兰、旧金山、西雅图和华盛顿特区。此数据集由5个CSV文件组成，每个文件对应于披露的CPI-U入门级商品之一：苹果、面包、黄油、香烟和咖啡。每个文件包含以下列：年份、月份、产品名称、产品代码、城市、连锁店、月平均价格。连锁店信息已进行匿名化处理。此外，该项目还包括一个R文件，用于通过时间-互动-地区产品虚拟变量（TiRPD）模型计算次国家级消费者价格指数。