Exploring quality adjustment in PPI cloud computing.

The article discusses the challenges in accurately measuring price changes in cloud computing services due to rapid technological advancements. It mentions the use of time dummy hedonic models is proposed as a solution, using publicly available data and statistical learning techniques to select vari...

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Detalles Bibliográficos
Publicado en:Monthly Labor Review pp. 1 - 26
Formato: Artículo
Publicado: US Department of Labor Feb2023
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:The article discusses the challenges in accurately measuring price changes in cloud computing services due to rapid technological advancements. It mentions the use of time dummy hedonic models is proposed as a solution, using publicly available data and statistical learning techniques to select variables, and shows results which exhibits that microprocessor characteristics can be used to estimate quality-adjusted price change.