IDEAS home Printed from https://ideas.repec.org/p/zbw/i4rdps/35.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/271675/1/I4R-DP035.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shaun Scholes & Madhavi Bajekal & Paul Norman & Martin O’Flaherty & Nathaniel Hawkins & Mika Kivimäki & Simon Capewell & Rosalind Raine, 2013. "Quantifying Policy Options for Reducing Future Coronary Heart Disease Mortality in England: A Modelling Study," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-1, July.
    2. Strasak, Alexander M. & Umlauf, Nikolaus & Pfeiffer, Ruth M. & Lang, Stefan, 2011. "Comparing penalized splines and fractional polynomials for flexible modelling of the effects of continuous predictor variables," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1540-1551, April.
    3. Haomiao Li & Yingchun Chen & Hongxia Gao & Jingjing Chang & Dai Su & Shihan Lei & Di Jiang & Xiaomei Hu & Min Tan & Zhifang Chen, 2019. "Effect of an Integrated Payment System on the Direct Economic Burden and Readmission of Rural Cerebral Infarction Inpatients: Evidence from Anhui, China," IJERPH, MDPI, vol. 16(9), pages 1-12, May.
    4. Alla Koblyakova & Michael White, 2017. "Supply driven mortgage choice," Urban Studies, Urban Studies Journal Limited, vol. 54(5), pages 1194-1210, April.
    5. Jinwook Lee & András Prékopa, 2013. "Properties and calculation of multivariate risk measures: MVaR and MCVaR," Annals of Operations Research, Springer, vol. 211(1), pages 225-254, December.
    6. Hafiz Muhammad Arslan & Ye Chengang & Bilal & Muhammad Siddique & Yusra Yahya, 2022. "Influence of Senior Executives Characteristics on Corporate Environmental Disclosures: A Bibliometric Analysis," JRFM, MDPI, vol. 15(3), pages 1-21, March.
    7. Jan D Reinhardt & Marcel W M Post & Christine Fekete & Bruno Trezzini & Martin W G Brinkhof & on behalf of SwiSCI Study Group, 2016. "Labor Market Integration of People with Disabilities: Results from the Swiss Spinal Cord Injury Cohort Study," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-18, November.
    8. Carsten Schmidt & Till Ittermann & Andrea Schulz & Hans Grabe & Sebastian Baumeister, 2013. "Linear, nonlinear or categorical: how to treat complex associations in regression analyses? Polynomial transformations and fractional polynomials," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(1), pages 157-160, February.
    9. Zheng Wang & Fangzhu Zhang & Fulong Wu, 2017. "Neighbourhood cohesion under the influx of migrants in Shanghai," Environment and Planning A, , vol. 49(2), pages 407-425, February.
    10. Xinhua Mao & Changwei Yuan & Jiahua Gan & Shiqing Zhang, 2019. "Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China," IJERPH, MDPI, vol. 16(9), pages 1-17, May.
    11. Dunkler, Daniela & Sauerbrei, Willi & Heinze, Georg, 2016. "Global, Parameterwise and Joint Shrinkage Factor Estimation," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i08).

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:i4rdps:35. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.i4replication.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.