Diewert and Fox (2022) examine various implications of the 2020 COVID-19 pandemic for constructing consumer price indexes. The authors state that the pandemic caused major changes in consumption expenditures and shares which makes fixed basket index number formulae inapplicable. They emphasize the need for more frequent surveys of consumer expenditure which will enable compilation of the Fisher index which is considered superior to the traditional Laspeyres or Young indexes. In addition, Diewert and Fox discuss the use of various “new” technologies such as web scraping, scanner data, and information from transactions through credit cards to estimate consumption expenditure.
Keywords
- Price index
- COVID-19
- demand shocks
- supply shocks
Some Thoughts on Official Statistics and its Future (with discussion) Total Process Error: An Approach for Assessing and Monitoring the Quality of Multisource Processes Data Fusion for Joining Income and Consumtion Information using Different Donor-Recipient Distance Metrics Improving the Output Quality of Official Statistics Based on Machine Learning Algorithms If They Don’t Understand the Question, They Don’t answer. Language Mismatch in Face-to-Face Interviews Improved Assessment of the Accuracy of Record Linkage via an Extended MaCSim Approach Assessing Residual Seasonality in the U.S. National Income and Product Accounts Aggregates Book Review Spatial Sampling Design to Improve the Efficiency of the Estimation of the Critical Parameters of the SARS-CoV-2 Epidemic In Memory of Dr. Lars Lyberg Remembering a Giant in Survey Research 1944–2021 Rejoinder: Measuring Inflation under Pandemic Conditions Data Collection Expert Prior Elicitation in Survey Design: Two Case Studies Iterative Kernel Density Estimation Applied to Grouped Data: Estimating Poverty and Inequality Indicators from the German Microcensus