IDEAS home Printed from https://ideas.repec.org/p/ags/aaea23/335782.html
   My bibliography  Save this paper

Comparative Effectiveness of Machine Learning Methods for Causal Inference in Agricultural Economics

Author

Listed:
  • Badruddoza, Syed
  • Fuad, Syed
  • Amin, Modhurima D.

Abstract

No abstract is available for this item.

Suggested Citation

  • Badruddoza, Syed & Fuad, Syed & Amin, Modhurima D., 2023. "Comparative Effectiveness of Machine Learning Methods for Causal Inference in Agricultural Economics," 2023 Annual Meeting, July 23-25, Washington D.C. 335782, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea23:335782
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/335782/files/26952.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018. "Double/debiased machine learning for treatment and structural parameters," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. Gharad Bryan & Shyamal Chowdhury & Ahmed Mushfiq Mobarak, 2014. "Underinvestment in a Profitable Technology: The Case of Seasonal Migration in Bangladesh," Econometrica, Econometric Society, vol. 82(5), pages 1671-1748, September.
    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. repec:ags:aaea22:335782 is not listed on IDEAS
    2. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    3. Alan de Brauw & Valerie Mueller & Tassew Woldehanna, 2018. "Does Internal Migration Improve Overall Well-Being in Ethiopia?," Journal of African Economies, Centre for the Study of African Economies, vol. 27(3), pages 367-367.
    4. Sina Akbari & Negar Kiyavash & AmirEmad Ghassami, 2025. "Semiparametric Triple Difference Estimators," Papers 2502.19788, arXiv.org, revised Sep 2025.
    5. Yihui He & Fang Han, 2023. "On propensity score matching with a diverging number of matches," Papers 2310.14142, arXiv.org, revised Nov 2023.
    6. Neng-Chieh Chang, 2020. "The Mode Treatment Effect," Papers 2007.11606, arXiv.org.
    7. Christoph Breunig & Ruixuan Liu & Zhengfei Yu, 2025. "Robust Semiparametric Inference for Bayesian Additive Regression Trees," Papers 2509.24634, arXiv.org, revised Oct 2025.
    8. Valente, Marica, 2023. "Policy evaluation of waste pricing programs using heterogeneous causal effect estimation," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    9. Xiaolin Sun, 2022. "Estimation of Heterogeneous Treatment Effects Using a Conditional Moment Based Approach," Papers 2210.15829, arXiv.org, revised Oct 2024.
    10. Zou, Tong & Li, Fanrong & Guo, Pibin, 2024. "Advancing effective energy transition: The effects and mechanisms of China's dual-pilot energy policies," Energy, Elsevier, vol. 307(C).
    11. Ziming Lin & Fang Han, 2024. "On the consistency of bootstrap for matching estimators," Papers 2410.23525, arXiv.org, revised Nov 2024.
    12. Kim, Bora & Lee, Myoung-jae, 2025. "Overlap-weighted difference-in-differences: A simple way to overcome poor propensity score overlap," Economics Letters, Elsevier, vol. 250(C).
    13. Nora Bearth, 2024. "Beyond Baby Blues: The Child Penalty in Mental Health in Switzerland," Papers 2410.20861, arXiv.org, revised May 2025.
    14. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement," Marketing Science, INFORMS, vol. 42(4), pages 768-793, July.
    15. Reinhard Uehleke & Heidi Leonhardt & Silke Hüttel, 2024. "Counterfactual evaluation of two Austrian agri‐environmental schemes in 2014–2018," Agricultural Economics, International Association of Agricultural Economists, vol. 55(1), pages 27-40, January.
    16. Zimmert, Franziska & Zimmert, Michael, 2020. "Paid parental leave and maternal reemployment: Do part-time subsidies help or harm?," Economics Working Paper Series 2002, University of St. Gallen, School of Economics and Political Science.
    17. Taisuke Otsu & Mengshan Xu, 2022. "Isotonic propensity score matching," STICERD - Econometrics Paper Series 623, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    18. Philipp Bach & Sven Klaassen & Jannis Kueck & Mara Mattes & Martin Spindler, 2025. "Sensitivity Analysis for Treatment Effects in Difference-in-Differences Models using Riesz Representation," Papers 2510.09064, arXiv.org.
    19. Tang, Shengfang & Huang, Zhilin, 2022. "Empirical likelihood confidence interval for difference-in-differences estimator with panel data," Economics Letters, Elsevier, vol. 216(C).
    20. Franziska Zimmert & Michael Zimmert, 2024. "Part‐time subsidies and maternal reemployment: Evidence from a difference‐in‐differences analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1149-1171, September.
    21. Yixiao Sun & Haitian Xie & Yuhang Zhang, 2025. "Difference-in-Differences Meets Synthetic Control: Doubly Robust Identification and Estimation," Papers 2503.11375, arXiv.org, revised Sep 2025.

    More about this item

    Keywords

    ;
    ;
    ;

    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:ags:aaea23:335782. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    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.