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Activity Number: 580 - Time Series and Factor Models
Type: Contributed
Date/Time: Wednesday, August 2, 2017 : 2:00 PM to 3:50 PM
Sponsor: Business and Economic Statistics Section
Abstract #323757
Title: Relative and Trend Revision Methods for Benchmarking Two Sets of Time Series
Author(s): Lynn Imel*
Keywords: growth rate ; objective function ; steepest feasible descent

Data from the same target population collected at different spans of time can be inconsistent. For example, estimates collected monthly do not necessarily sum to measures from an annual survey. The adjustment process referred to as benchmarking solves inconsistency problems such as this. Economic programs at the Census Bureau use the relative and trend revision methods to benchmark quarterly and monthly time series. Fagan (1999) generalized the methods to benchmark a series broken out in two ways. This paper describes the methods presented by Fagan and use of them on economic data.

Authors who are presenting talks have a * after their name.

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