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  1. Bradic, Jelena [Author]; Chernozhukov, Victor [Author]; Newey, Whitney K. [Author]; Zhu, Yinchu [Author]

    Minimax semiparametric learning with approximate sparsity

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    [London]: Cemmap, Centre for Microdata Methuods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, [2021]

    Published in: Centre for Microdata Methods and Practice: CEMMAP working papers ; 2021,32

  2. Chernozhukov, Victor [Author]; Hausman, Jerry A. [Author]; Newey, Whitney K. [Author]

    Demand analysis with many prices

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    [London]: Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, [2019]

    Published in: Centre for Microdata Methods and Practice: CEMMAP working papers ; 2019,59

  3. Cattaneo, Matias D. [Author]; Jansson, Michael [Author]; Newey, Whitney K. [Author]

    Inference in linear regression models with many covariates and heteroskedasticity

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    London: Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, January 12, 2017

    Published in: Centre for Microdata Methods and Practice: CEMMAP working papers ; 2017,3

  4. Chernozhukov, Victor [Author]; Fernández-Val, Iván [Author]; Newey, Whitney K. [Author]

    Nonseparable multinomial choice models in cross-section and panel data

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    London: Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, June 21, 2017

    Published in: Centre for Microdata Methods and Practice: CEMMAP working papers ; 2017,33

  5. Belloni, Alexandre [Author]; Chernozhukov, Victor [Author]; Hansen, Christian Bailey [Author]; Newey, Whitney K. [Author]

    Simultaneous confidence intervals for high-dimensional linear models with many endogenous variables - [Current Version: December 21, 2017]

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    London: Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, 21 December 2017

    Published in: Centre for Microdata Methods and Practice: CEMMAP working papers ; 2017,63