An instance of reverse heaping of ages

Area of Science:

• Socioeconomic data analysis
• Demographic trends in the Middle East

Background:

• Social insurance systems often rely on accurate age data.
• Age heaping, a common data anomaly, can skew demographic and economic analyses.
• Saudi Arabia's social insurance system provides a unique case study for data quality.

Purpose of the Study:

• To investigate the phenomenon of reverse age heaping in Saudi Arabian social insurance data.
• To identify the specific patterns of age heaping and wage distribution.
• To explore the underlying socioeconomic factors contributing to these patterns.

Main Methods:

• Analysis of age and average monthly wage data from the Saudi Arabian social insurance system.
• Identification of age heaping patterns, specifically reverse heaping.
• Correlation analysis between age heaping, educational attainment, and wage levels.

Main Results:

• Observed peaks in worker numbers at ages ending in zero and five (reverse heaping).
• Corresponding troughs in average monthly wages at these same ages.
• Strong indication that lower educational attainment and rounded birth years contribute to wage troughs.

Conclusions:

• Reverse age heaping is a notable data quality issue in the Saudi Arabian social insurance system.
• The phenomenon is linked to educational disparities and self-reported birth year rounding.
• Findings highlight the need for improved data collection and validation methods in socioeconomic studies.