Measuring Quality Growth and Studying Stockout Behavior Using Micro CPI Data

使用微观 CPI 数据衡量质量增长并研究缺货行为

• 批准号: 0241623
• 负责人: Mark Bils
• 金额: $ 12.82万
• 依托单位: University of Rochester
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-03-01 至 2006-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0241623&HistoricalAwards=false
• 关键词: Measuring; Quality; Growth; Studying; Stockout

This research exploits confidential Consumer Price Index (CPI) micro data, to study two issues---quality improvements for consumer goods and movements in firms' marginal costs and price markups due to temporary product stockouts over market fluctuations. The first part of the research studies the sensitivity of consumer price inflation and, quality growth, to treatment of the price increases associated with the introduction of new models of consumer durables. The BLS' resampling method can be exploited to gain information on how quantities sold change with model turnovers. This information is then used to gauge how much of price increases for new goods should be attributed to quality improvements. The second part of the research shows how information on temporary product stockouts, provide more direct information on how firms' cost and prices behave over the market cycle than existing methods. The stockout data are available for a much wider and more disaggregate set of goods than data on finished inventories. The research shows how price markups can either be attributed to price stickiness or active price adjustments by sellers. Results of this research have important policy implications. The ability to break price increases between quality improvements and consumer price inflation is central to the goals of collecting information on prices. The results can directly inform measurement of price increases used to judge changes in standards of living. The results can yield suggestions for revisions of BLS methods or suggestions for additional statistics the BLS could make available. The results of the research could also have an effect on how inflation should be measured. This could affect the determination of cost living adjustments in wage contracts, social security payments, insurance, and ultimately the rate of inflation itself.

这项研究利用了机密的消费者价格指数（CPI）微数据，研究了两个问题 - 由于暂时的产品库存而导致的，企业的边际成本和价格上涨的质量改进，以及市场波动而导致的。研究的第一部分研究消费者价格通胀和质量增长的敏感性，与引入新的消费者耐用品模型有关的价格增加。可以利用BLS的重采样方法来获取有关销售方式如何通过模型营业额变化的信息。然后，该信息用于评估新产品的价格上涨的数量应归因于质量改进。研究的第二部分显示了如何在临时产品库存中提供的信息，提供有关公司成本和价格在市场周期中的行为方式的更多直接信息。与成品库存的数据相比，该数据可用于更宽，更分类的商品集。该研究表明，价格标价如何归因于价格粘性或卖方的主动价格调整。这项研究的结果具有重要的政策影响。质量改善和消费者价格通胀之间打破价格上涨的能力对于收集价格信息的目标至关重要。结果可以直接告知用于判断生活水平变化的价格上涨的测量。结果可以为BLS方法的修订或BLS可能提供的其他统计信息提出建议。研究结果也可能对应如何衡量通货膨胀产生影响。 这可能会影响确定工资合同，社会保障付款，保险以及通货膨胀率本身的成本生活调整。