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Rate decomposition for aggregate data using Das Gupta’s method

Author

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  • Jinjing Li

    (University of Canberra)

Abstract

Social, behavioral, and health scientists frequently decompose changes or differences in outcome variables into components of change and assess their relative importance. Many Stata commands facilitate this exercise using unit- level data, notably by applying the Blinder – Oaxaca approach. However, none of the comparable user-written commands decompose changes or differences in aggregate data despite their availability and the widespread use of corresponding decomposition techniques. In this article, I present the user-written command rdecompose, which decomposes aggregate or cross-classified data based on Das Gupta’s (1993, Standardization and Decomposition of Rates: A User’s Manual, Volume 1) approach, and demonstrate its application in multiple settings. This command extends the original method by allowing multiple factors and flexible functional specifications.

Suggested Citation

  • Jinjing Li, 2017. "Rate decomposition for aggregate data using Das Gupta’s method," Stata Journal, StataCorp LP, vol. 17(2), pages 490-502, June.
  • Handle: RePEc:tsj:stataj:v:17:y:2017:i:2:p:490-502
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    Citations

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    Cited by:

    1. Cécile Bonneau & Sébastien Grobon, 2022. "Unequal access to higher education based on parental income: evidence from France ," World Inequality Lab Working Papers halshs-03693195, HAL.
    2. Cécile Bonneau & Sébastien Grobon, 2022. "Unequal access to higher education based on parental income: evidence from France ," Working Papers halshs-03693195, HAL.
    3. Cécile Bonneau & Sébastien Grobon, 2023. "Parental Income and Higher Education Patterns: Evidence From France," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03573453, HAL.
    4. Michael Stucki, 2021. "Factors related to the change in Swiss inpatient costs by disease: a 6-factor decomposition," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(2), pages 195-221, March.
    5. Yoonyoung Choi, 2022. "A decomposition of declining crude birth rate in South Korea, 1990–2015," Journal of Population Research, Springer, vol. 39(3), pages 373-389, September.
    6. Nie, Peng & Ding, Lanlin & Sousa-Poza, Alfonso, 2019. "Decomposing adult obesity trends in China (1991–2011)," Economics & Human Biology, Elsevier, vol. 34(C), pages 5-15.
    7. Cécile Bonneau & Sébastien Grobon, 2022. "Unequal access to higher education based on parental income: evidence from France," Documents de travail du Centre d'Economie de la Sorbonne 22005r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2022.
    8. Cécile Bonneau & Sébastien Grobon, 2022. "Unequal access to higher education based on parental income: evidence from France ," PSE Working Papers halshs-03693195, HAL.
    9. Cécile Bonneau & Sébastien Grobon, 2022. "Unequal Access to Higher Education Based on Parental Income: Evidence From France," Working Papers halshs-03573453, HAL.

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