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Related Experiment Video

Updated: May 28, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Reweighting the general household survey 1979-2007.

Eva Beaujouan¹, James J Brown, Máire Ní Bhrolcháin

¹ESRC Centre for Population Change, University of Southampton.

Population Trends

|October 12, 2011

Summary

This summary is machine-generated.

New weighting methods for the General Household Survey (GHS) improve fertility estimates. These updated weights reduce bias in Total Fertility Rate (TFR) and age-specific fertility rates for analyses from 1979-2007.

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Last Updated: May 28, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Area of Science:

Demography
Social Statistics
Survey Methodology

Background:

The General Household Survey (GHS) is a vital source of social and demographic data in the UK.
Accurate weighting is crucial for minimizing bias in survey estimates.
Previous GHS weighting methods required updates to reflect demographic changes and improve data quality.

Purpose of the Study:

To develop and validate new weighting methodologies for the General Household Survey (GHS) covering the period 1979-2007.
To provide specific weights for general GHS analyses and specialized analyses of family information data.
To assess the effectiveness of the new weights in improving fertility estimates.

Main Methods:

Calculation of two new sets of survey weights for the GHS (1979-2007).
Adoption of methodologies consistent with Office for National Statistics (ONS) practices since 1996.
Performance evaluation using Total Fertility Rate (TFR) estimation and comparison with vital registration statistics (1971-2007).

Main Results:

The new GHS weights demonstrate improved accuracy in estimating the Total Fertility Rate (TFR).
Bias reduction was observed in both aggregate TFR and age-specific fertility rates.
The developed weights enhance the reliability of demographic analyses derived from the GHS.

Conclusions:

The newly developed GHS weights offer a significant improvement for demographic research, particularly in fertility analysis.
These weights provide more accurate estimates for both general GHS data and specific family information modules.
The study confirms the utility of the updated weighting strategy for longitudinal survey data analysis.