Exploring quality adjustment in PPI cloud computing

Cloud computing services (hosting) is an important component of the Producer Price Index (PPI) for data processing, hosting, and related services. The current approach to changes in cloud services is to estimate a price change between the old and new service that is equal to the average of price changes for similar products in the PPI. This method has limitations because it does not specifically account for changes to characteristics such as microprocessor, memory, and data storage, which are key price-determining characteristics that see rapid technological change. In order to estimate price changes more accurately in this ever-evolving industry, we develop time dummy hedonic models. Our models use publicly available data while future BLS models could instead use confidential respondent data for their estimates. One of the challenges of developing models is accounting for the performance of the microprocessors used in the cloud services.