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Correction to: Counterfactual inference for consumer choice across many product categories

Author

Listed:
  • Robert Donnelly

    (Stanford University)

  • Francisco J. R. Ruiz

    (Columbia University
    University of Cambridge)

  • David Blei

    (Columbia University)

  • Susan Athey

    (Stanford University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Robert Donnelly & Francisco J. R. Ruiz & David Blei & Susan Athey, 2021. "Correction to: Counterfactual inference for consumer choice across many product categories," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 409-409, December.
    • Handle: RePEc:kap:qmktec:v:19:y:2021:i:3:d:10.1007_s11129-021-09245-y
    DOI: 10.1007/s11129-021-09245-y
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    Citations

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    Cited by:

    1. Yiyan Huang & Cheuk Hang Leung & Siyi Wang & Yijun Li & Qi Wu, 2024. "Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators," Papers 2402.18392, arXiv.org, revised Oct 2024.
    2. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2023. "Optimal Price Targeting," Marketing Science, INFORMS, vol. 42(3), pages 476-499, May.
    3. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
    4. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    5. Adam N. Smith & Jim E. Griffin, 2023. "Shrinkage priors for high-dimensional demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 21(1), pages 95-146, March.
    6. Tianyu Du & Ayush Kanodia & Susan Athey, 2023. "Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python," Papers 2304.01906, arXiv.org, revised Jul 2023.
    7. Tianyu Du & Ayush Kanodia & Herman Brunborg & Keyon Vafa & Susan Athey, 2024. "LABOR-LLM: Language-Based Occupational Representations with Large Language Models," Papers 2406.17972, arXiv.org.

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