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Bridging techniques in the redesign of the Italian Survey on Household Income and Wealth

Author

Listed:
  • Romina Gambacorta

    (Bank of Italy)

  • Eleonora Porreca

    (Bank of Italy)

Abstract

The design of the Bank of Italy’s Survey on Household Income and Wealth was revised in 2020 to reduce non-sampling error in households’ income and wealth and improve data quality. The new sample allocation resulted in greater participation in the upper parts of the income distribution, determining a reduction in standard errors and in the bias of income and wealth estimators. However, the revision of the sample makes it difficult to compare the results with those obtained in previous survey waves. This paper discusses different weighting systems for taking these differences into account, obtained following three main methodological approaches: cell weighting, raking and inverse probability weighting. Comparing results across different dimensions, the method that produces the most reliable results is based on the use of the raking technique and, therefore, it is the one recommended for time series analysis.

Suggested Citation

  • Romina Gambacorta & Eleonora Porreca, 2022. "Bridging techniques in the redesign of the Italian Survey on Household Income and Wealth," Questioni di Economia e Finanza (Occasional Papers) 719, Bank of Italy, Economic Research and International Relations Area.
    • Handle: RePEc:bdi:opques:qef_719_22
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    References listed on IDEAS

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    1. repec:mpr:mprres:4937 is not listed on IDEAS
    2. Philip Vermeulen, 2018. "How Fat is the Top Tail of the Wealth Distribution?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 357-387, June.
    3. Jean-François Beaumont, 2008. "A new approach to weighting and inference in sample surveys," Biometrika, Biometrika Trust, vol. 95(3), pages 539-553.
    4. Jan van den Brakel & Xichuan (Mark) Zhang & Siu‐Ming Tam, 2020. "Measuring Discontinuities in Time Series Obtained with Repeated Sample Surveys," International Statistical Review, International Statistical Institute, vol. 88(1), pages 155-175, April.
    5. repec:mpr:mprres:4780 is not listed on IDEAS
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    Cited by:

    1. Antonietta di Salvatore & Mirko Moscatelli, 2024. "Improving survey information on household debt using granular credit databases," Questioni di Economia e Finanza (Occasional Papers) 839, Bank of Italy, Economic Research and International Relations Area.

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    More about this item

    Keywords

    survey sampling design; weighting; calibration; income and wealth distribution;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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