Search Results - "Pouliot, Guillaume A."

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  1. 1

    Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation by Kellogg, Maxwell, Mogstad, Magne, Pouliot, Guillaume A., Torgovitsky, Alexander

    “…The synthetic control (SC) method is widely used in comparative case studies to adjust for differences in pretreatment characteristics. SC limits extrapolation…”
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    Journal Article
  2. 2

    Combining Matching and Synthetic Control to Trade off Biases from Extrapolation and Interpolation by Kellogg, Maxwell, Mogstad, Magne, Pouliot, Guillaume A, Torgovitsky, Alexander

    “…The synthetic control (SC) method is widely used in comparative case studies to adjust for differences in pre-treatment characteristics. SC limits…”
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    Journal Article
  3. 3

    Adversarial Inference Is Efficient by Kaji, Tetsuya, Manresa, Elena, Pouliot, Guillaume A.

    Published in AEA papers and proceedings (01-05-2021)
    “…We study properties of the adversarial framework, introduced in Kaji, Manresa and Pouliot (2020). We show that the adversarial inference with an oracle…”
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    Journal Article
  4. 4

    Inference for Support Vector Regression under ℓ 1 Regularization by Bai, Yuehao, Ho, Hung, Pouliot, Guillaume A., Shea, Joshua

    Published in AEA papers and proceedings (01-05-2021)
    “…We provide large-sample distribution theory for support vector regression (SVR) with l1-norm along with error bars for the SVR regression coefficients…”
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    Journal Article
  5. 5

    Inference for Support Vector Regression under ℓ1 Regularization by Bai, Yuehao, Ho, Hung, Pouliot, Guillaume A., Shea, Joshua

    Published in AEA papers and proceedings (01-05-2021)
    “…We provide large-sample distribution theory for support vector regression (SVR) with ℓ1-norm along with error bars for the SVR regression coefficients…”
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    Journal Article
  6. 6

    Group Shapley Value and Counterfactual Simulations in a Structural Model by Kwon, Yongchan, Lee, Sokbae, Pouliot, Guillaume A

    Published 09-10-2024
    “…We propose a variant of the Shapley value, the group Shapley value, to interpret counterfactual simulations in structural economic models by quantifying the…”
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    Journal Article