Constructing period parity progression ratios from household survey data

Area of Science:

• Demography
• Sociology
• Statistics

Background:

• Fertility measurement is crucial for demographic analysis.
• Traditional methods may have limitations in timeliness and precision.
• Household survey data offers a potential alternative source.

Purpose of the Study:

• To apply an own-child analysis to U.K. Labour Force Survey data.
• To derive period parity progression ratios and total fertility.
• To assess and correct biases in fertility measures derived from survey data.

Main Methods:

• Utilized household composition data from two U.K. Labour Force Survey rounds.
• Calculated period parity progression ratios and total fertility measure (TFPPR) for up to 20 years.
• Developed bias correction methods through replication across different survey years.

Main Results:

• Identified and quantified biases in fertility measures from survey data.
• Developed and validated methods for bias correction.
• Demonstrated the precision and timeliness of corrected fertility indicators.

Conclusions:

• U.K. Labour Force Survey data, when adjusted, provides precise and timely period fertility indicators.
• The developed bias correction methods enhance the reliability of demographic analysis.
• Own-child analysis offers a valuable tool for routine fertility monitoring.