OMB Individually Reported
CE Interview Imputations
Low riskExact public inventory row
Description
Imputes missing expenditure values in the Consumer Expenditure Interview Survey when respondents answer “don’t know” or refuse to provide an expense amount.
Detailed example
These output numbers are rounded up to the nearest whole value or rounded to 0 if negative. The output is only used to complete the Consumer Price Index.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Uses more sophisticated statistical techniques to estimate missing values
Audit / financial statement impact
Used for survey processing for statistical purposes
Controls / human review
ATO: Yes; PIA: N/A
Data needed
Agency Generated