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A comment on "Long-Term Effects of Equal Sharing: Evidence from Inheritance Rules for Land"

Author

Listed:
  • Abajian, Alexander C.
  • Xu, Cong
  • Yu, Shuo

Abstract

Bartels, Jäger and Obergruber (2024) examine how division rules for the inheritance of agricultural land affected distributional outcomes in 19th century and contemporary Germany. The authors use a regression discontinuity design to show that equal-division counties-those in which inheritance of property and land were split equally among heirs-had significantly lower concentration of land holdings in historical Germany and that these areas have higher incomes and wealth today relative to neighboring counterparts that operated under rules where no division of inheritance took place. We computationally reproduce all results present in their manuscript using the replication package the authors provide. While we uncover one minor coding error that affects their calculations of HAC standard errors, it has no effect on the study's results. We also provide two additional tests of the authors identifying assumption: a standard test of continuity of the density of the running variable as well as falsification tests which alter which units are assigned treatment. Both tests support the authors' identifying assumptions.

Suggested Citation

  • Abajian, Alexander C. & Xu, Cong & Yu, Shuo, 2025. "A comment on "Long-Term Effects of Equal Sharing: Evidence from Inheritance Rules for Land"," I4R Discussion Paper Series 269, The Institute for Replication (I4R).
  • Handle: RePEc:zbw:i4rdps:269
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    File URL: https://www.econstor.eu/bitstream/10419/328049/1/I4R-DP269.pdf
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    References listed on IDEAS

    as
    1. Charlotte Bartels & Simon Jäger & Natalie Obergruber, 2024. "Long-Term Effects of Equal Sharing: Evidence from Inheritance Rules for Land," The Economic Journal, Royal Economic Society, vol. 134(664), pages 3137-3172.
    2. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    3. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik, 2017. "rdrobust: Software for regression-discontinuity designs," Stata Journal, StataCorp LLC, vol. 17(2), pages 372-404, June.
    4. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    5. Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
    6. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Manipulation testing based on density discontinuity," Stata Journal, StataCorp LLC, vol. 18(1), pages 234-261, March.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • D3 - Microeconomics - - Distribution
    • N33 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: Pre-1913
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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