Building the Census Bureau Index of Economic Activity (IDEA)

The Census Bureau Index of Economic Activity is constructed from 15 of the Census Bureau’s primary monthly economic indicators to provide a single time series reflecting the variation over time in the whole set of component series. The component series provide monthly measures of activity in retail and wholesale trade, manufacturing, construction, international trade, and business formations. The index applies the method of principal components analysis (PCA) to the time series of monthly growth rates of the seasonally adjusted component series, after they are standardized to have mean zero and variance 1. The index is published every business day, and so is updated whenever a new monthly value is released for any of its components. Since the monthly release dates vary across the components, series that are one month behind are nowcast for the current index month using a multivariate autoregressive model to provide an index that is conceptually consistent over time. This paper discusses the input series to the index, the construction of the index by PCA, and the nowcasting procedure. We then examine some properties of the index and its relation to quarterly U.S. Gross Domestic Product and to some monthly non-Census Bureau economic indicators.

Authors

Institutions

Publication Details

Journal
Data Science in Science
Published
2025-05-01
DOI
https://doi.org/10.1080/26941899.2025.2489414
Citations
1
Primary Topic
Census and Population Estimation
Type
article
Field-Weighted Citation Impact
2.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Building the Census Bureau Index of Economic Activity (IDEA)

Jose Asturias, William R. Bell, Tucker McElroy, Katherine Jenny Thompson et al.
1 citations
Data Science in Science
Census and Population Estimation
2.63
article

Building the Census Bureau Index of Economic Activity (IDEA)

Jose Asturias, William R. Bell, Tucker McElroy, Katherine Jenny Thompson, Rebecca Hutchinson
article en
1 citations

Abstract

The Census Bureau Index of Economic Activity is constructed from 15 of the Census Bureau’s primary monthly economic indicators to provide a single time series reflecting the variation over time in the whole set of component series. The component series provide monthly measures of activity in retail and wholesale trade, manufacturing, construction, international trade, and business formations. The index applies the method of principal components analysis (PCA) to the time series of monthly growth rates of the seasonally adjusted component series, after they are standardized to have mean zero and variance 1. The index is published every business day, and so is updated whenever a new monthly value is released for any of its components. Since the monthly release dates vary across the components, series that are one month behind are nowcast for the current index month using a multivariate autoregressive model to provide an index that is conceptually consistent over time. This paper discusses the input series to the index, the construction of the index by PCA, and the nowcasting procedure. We then examine some properties of the index and its relation to quarterly U.S. Gross Domestic Product and to some monthly non-Census Bureau economic indicators.

Data Science in ScienceVol. 4(1)
United States Census Bureau (US)
Decent work and economic growth
Openalex Percentile: Top 12%
Census and Population Estimation
2.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.