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A Comment on Dincecco et al. (2022): Pre-Colonial Warfare and Long-Run Development in India

Author

Listed:
  • Forshaw, Rachel
  • Ölkers, Tim
  • Sethi, Ritika
  • Sovani, Manali

Abstract

We test the reproducibility and replicability of Dincecco et al. (2022), which reports a positive relationship between pre-colonial interstate warfare and long-run development patterns across India. Overall, we confirm that all of the study's estimates are computationally reproducible by using both the provided replication package in Stata and code written by the present authors in R. We test for and find no evidence of data manipulation in the final datasets. Concerning direct replicability, we consider different ways of measuring distance to conflicts and also alternative proxies for both the dependent variable and variables which capture channels by which the main effects operate. We are able to replicate the magnitude and significance of the estimated coefficient on conflict exposure in most of the tests, noting that while most estimates are substantively in line with the original study, some alternative measures of distance to conflict imply different magnitudes for estimates, and proxy estimates are sensitive to both the time period and type of conflict considered.

Suggested Citation

  • Forshaw, Rachel & Ölkers, Tim & Sethi, Ritika & Sovani, Manali, 2023. "A Comment on Dincecco et al. (2022): Pre-Colonial Warfare and Long-Run Development in India," I4R Discussion Paper Series 35, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:35
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    File URL: https://www.econstor.eu/bitstream/10419/271675/1/I4R-DP035.pdf
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    References listed on IDEAS

    as
    1. Charles Miller & K. Shuvo Bakar, 2023. "Conflict Events Worldwide Since 1468BC: Introducing the Historical Conflict Event Dataset," Journal of Conflict Resolution, Peace Science Society (International), vol. 67(2-3), pages 522-554, February.
    2. Sauerbrei, W. & Meier-Hirmer, C. & Benner, A. & Royston, P., 2006. "Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3464-3485, August.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    institutions; long-run development; path dependence; public goods;
    All these keywords.

    JEL classification:

    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • N45 - Economic History - - Government, War, Law, International Relations, and Regulation - - - Asia including Middle East
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies

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