U.S. flag

An official website of the United States government

Skip Header
Search data, events, resources, and more
Topics
Browse our topics and subtopics to find information and data.
View All Topics and Subtopics Index A to Z
Age and Sex Business and Economy Education Emergency Management / Disasters Employment Families and Living Arrangements Geography Health Hispanic Origin Housing
Income and Poverty International Trade Migration/Geographic Mobility Population Population Estimates Public Sector Race Redistricting Research Voting and Registration
Data & Maps
Access demographic, economic and population data from the U.S. Census Bureau. Explore census data with visualizations and view tutorials.
Explore data on data.census.gov View all data resources
Census Academy Combining Data Data Tools and Apps Datasets Developers Experimental Data Products Interactive Maps
Mapping Files Profiles Related Sites Software Tables Training and Workshops Visualizations
Surveys & Programs
Our surveys provide periodic and comprehensive statistics about the nation. This data is critical for government programs, policies, and decision-making.
Survey Help View all Surveys & Programs
2020 Census 2026 Census Test 2030 Census American Community Survey (ACS) American Housing Survey (AHS) Annual Business Survey (ABS) Annual Integrated Economic Survey (AIES) County Business Patterns (CBP) Current Population Survey (CPS)
Economic Census Household Pulse Survey International Programs Metro and Micro Areas Population Estimates Population Projections Small Area Income and Poverty Statistics of U.S. Businesses Survey of Income and Program Participation (SIPP)
Resource Library
Browse our collection of stories and more.
View all library resources Glossary
America Counts: Stories Audio Blogs By the Numbers Facts for Features Fact Sheets Infographics and Visualizations
Photos Publications Spotlights Stats for Stories Training (Census Academy) Videos Working Papers
Partners Researchers Educators Survey Respondents
News NAICS Codes Jobs About Us Contact Us Help
View All Topics and Subtopics Index A to Z
Age and Sex Business and Economy Education Emergency Management / Disasters Employment Families and Living Arrangements Geography Health Hispanic Origin Housing Income and Poverty International Trade Migration/Geographic Mobility Population Population Estimates Public Sector Race Redistricting Research Voting and Registration
Explore data on data.census.gov View all data resources
Census Academy Combining Data Data Tools and Apps Datasets Developers Experimental Data Products Interactive Maps Mapping Files Profiles Related Sites Software Tables Training and Workshops Visualizations
Survey Help View all Surveys & Programs
2020 Census 2026 Census Test 2030 Census American Community Survey (ACS) American Housing Survey (AHS) Annual Business Survey (ABS) Annual Integrated Economic Survey (AIES) County Business Patterns (CBP) Current Population Survey (CPS) Economic Census Household Pulse Survey International Programs Metro and Micro Areas Population Estimates Population Projections Small Area Income and Poverty Statistics of U.S. Businesses Survey of Income and Program Participation (SIPP)
View all library resources Glossary
America Counts: Stories Audio Blogs By the Numbers Facts for Features Fact Sheets Infographics and Visualizations Photos Publications Spotlights Stats for Stories Training (Census Academy) Videos Working Papers

Accelerating Entropy Balancing Sample Weighting

Skip Navigation
Within Library

Accelerating Entropy Balancing Sample Weighting

Written by:
Working Paper Number: SEHSD-WP2025-05

Survey calibration has proved useful in increasing the accuracy of estimates in practical applications, but the associated computational costs can lead to difficulties with large data sets. In this project, I derive and implement new numerical optimization routines to weight samples using an Entropy Balance calibration approach. This set of algorithms and their associated Python package include extensions of the problem to sparse data, collinear observables, and infeasible moments. Computational results show significant speedup over the widely-used “ebal” R package.

Page Last Revised - May 20, 2025
✕
Is this page helpful?
Thumbs Up Image Yes Thumbs Down Image No
✕
NO THANKS
255 characters maximum 255 characters maximum reached
✕
Thank you for your feedback.
Comments or suggestions?

Top

Back to Header