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  3. Demirer, Mert [Author] ; Diebold, Francis X. [Other]; Yılmaz, Kamil [Other]; Liu, Laura [Other] National Bureau of Economic Research

    Estimating Global Bank Network Connectedness

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    Cambridge, Mass: National Bureau of Economic Research, February 2017

    Published in: NBER working paper series ; no. w23140

  5. Chernozhukov, Victor [Author] ; Duflo, Esther [Other]; Fernández-Val, Iván [Other]; Demirer, Mert [Other] National Bureau of Economic Research

    Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments

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    Cambridge, Mass: National Bureau of Economic Research, June 2018

    Published in: NBER working paper series ; no. w24678

  7. Demirer, Mert [Author]; Gökçen, Umut [Author]; Yılmaz, Kamil [Author]

    Financial sector volatility connectedness and equity returns

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    Sarıyer/Istanbul: Koç University - TÜSİAD Economic Research Forum, January 4, 2018

    Published in: Ekonomik Araştırma Forumu: Koç University - TÜSİAD Economic Research Forum working paper series ; 2018003

  9. Demirer, Mert [Author]; Jiménez Hernández, Diego [Author]; Li, Dean [Author]; Peng, Sida [Author]

    Data, privacy laws and firm production : evidence from the GDPR

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    [Chicago, Illinois]: Federal Reserve Bank of Chicago, [2024]

    Published in: Federal Reserve Bank of Chicago: Working papers ; 2024,2

  10. Demirer, Mert [Author]; Jiménez Hernández, Diego [Author]; Li, Dean [Author]; Peng, Sida [Author] ; National Bureau of Economic Research

    Data, Privacy Laws and Firm Production : Evidence from the GDPR

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    Cambridge, Mass: National Bureau of Economic Research, February 2024

    Published in: NBER working paper series ; no. w32146

  12. Demirer, Mert [Author]; Syrgkanis, Vasilis [Author]; Lewis, Gregory [Author]; Chernozhukov, Victor [Author]

    Semi-parametric efficient policy learning with continuous actions

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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 ; 2019,34

  14. Chernozhukov, Victor [Author]; Demirer, Mert [Author]; Duflo, Esther [Author]; Fernández-Val, Iván [Author]

    Generic machine learning inference on heterogenous treatment effects in randomized experiments

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    London: Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, 30 December 2017

    Published in: Centre for Microdata Methods and Practice: CEMMAP working papers ; 2017,61

  17. Chernozhukov, Victor [Author] ; Hansen, Christian [Other]; Chetverikov, Denis [Other]; Duflo, Esther [Other]; Robins, James [Other]; Demirer, Mert [Other]; Newey, Whitney [Other] National Bureau of Economic Research

    Double/Debiased Machine Learning for Treatment and Structural Parameters

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    Cambridge, Mass: National Bureau of Economic Research, June 2017

    Published in: NBER working paper series ; no. w23564

  18. Chernozhukov, Victor [Author] ; Chetverikov, Denis [Other]; Demirer, Mert [Other]; Duflo, Esther [Other]; Hansen, Christian [Other]; Newey, Whitney K. [Other]; Robins, James [Other]

    Double/Debiased Machine Learning for Treatment and Structural Parameters

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    [S.l.]: SSRN, [2018]

    Published in: NBER Working Paper ; No. w23564

  19. Chernozhukov, Victor [Author]; Chetverikov, Denis [Author]; Demirer, Mert [Author]; Duflo, Esther [Author]; Hansen, Christian Bailey [Author]; Newey, Whitney K. [Author]; Robins, James [Author]

    Double/debiased machine learning for treatment and structural parameters

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    London: Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, 02 June 2017

    Published in: Centre for Microdata Methods and Practice: CEMMAP working papers ; 2017,28

  20. Chernozhukov, Victor [Author]; Chetverikov, Denis [Author]; Demirer, Mert [Author]; Duflo, Esther [Author]; Hansen, Christian B. [Author]; Newey, Whitney K. [Author]; Robins, James [Author]

    Double/debiased machine learning for treatment and structural parameters

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    London: Centre for Microdata Methods and Practice (cemmap), 2017