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Is It Possible to Forecast the Price of Bitcoin?. (2021). Goutte, Stephane ; Guegan, Dominique ; Chevallier, Julien.
In: Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers).
RePEc:hal:cesptp:halshs-04250269.

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    RePEc:wly:emetrp:v:90:y:2022:i:6:p:2567-2602.

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  7. A Nonparametric Approach for Studying Teacher Impacts. (2022). McMillan, Robert ; Gu, Jiaying ; Gilraine, Mike.
    In: Working Papers.
    RePEc:tor:tecipa:tecipa-716.

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  8. Asymptotic properties of the weighted average least squares (WALS) estimator. (2022). Peracchi, Franco ; Magnus, Jan ; de Luca, Giuseppe.
    In: Tinbergen Institute Discussion Papers.
    RePEc:tin:wpaper:20220022.

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  9. JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality. (2022). Tg, Joacim ; Scognamiglio, Annalisa ; Pagano, Marco ; Coraggio, Luca.
    In: Working Paper Series.
    RePEc:hhs:iuiwop:1427.

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  10. JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality. (2022). Scognamiglio, Annalisa ; Pagano, Marco ; Tg, Joacim ; Coraggio, Luca.
    In: EIEF Working Papers Series.
    RePEc:eie:wpaper:2205.

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  11. Asymptotic properties of the weighted-average least squares (WALS) estimator. (2022). De Luca, Giuseppe ; Peracchi, Franco ; Magnus, Jan R.
    In: EIEF Working Papers Series.
    RePEc:eie:wpaper:2203.

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  12. .

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  14. Economic Predictions With Big Data: The Illusion of Sparsity. (2021). Giannone, Domenico ; Primiceri, Giorgio E ; Lenza, Michele.
    In: Econometrica.
    RePEc:wly:emetrp:v:89:y:2021:i:5:p:2409-2437.

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  15. A Model of Scientific Communication. (2021). Shapiro, Jesse ; Andrews, Isaiah.
    In: Econometrica.
    RePEc:wly:emetrp:v:89:y:2021:i:5:p:2117-2142.

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  16. A Nonparametric Method for Estimating Teacher Value-Added. (2021). Gu, Jiaying ; Gilraine, Michael ; McMillan, Robert.
    In: Working Papers.
    RePEc:tor:tecipa:tecipa-689.

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  17. Is It Possible to Forecast the Price of Bitcoin?. (2021). Goutte, Stephane ; Guegan, Dominique ; Chevallier, Julien.
    In: Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers).
    RePEc:hal:cesptp:halshs-04250269.

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  18. Is It Possible to Forecast the Price of Bitcoin?. (2021). Goutte, Stéphane ; Chevallier, Julien ; Guegan, Dominique.
    In: Forecasting.
    RePEc:gam:jforec:v:3:y:2021:i:2:p:24-420:d:564101.

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  19. Market stability with machine learning agents. (2021). Georges, Christophre ; Pereira, Javier.
    In: Journal of Economic Dynamics and Control.
    RePEc:eee:dyncon:v:122:y:2021:i:c:s0165188920302001.

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  20. Targeting humanitarian aid using administrative data: Model design and validation. (2021). O'Connell, Stephen ; Jerneck, Matilda ; Cadoni, Paola ; Balciolu, Zeynep ; Amaz, Aytu ; Altinda, Onur ; Foong, Aimee Kunze.
    In: Journal of Development Economics.
    RePEc:eee:deveco:v:148:y:2021:i:c:s0304387820301395.

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  21. Economic predictions with big data: the illusion of sparsity. (2021). Giannone, Domenico ; Primiceri, Giorgio E ; Lenza, Michele.
    In: Working Paper Series.
    RePEc:ecb:ecbwps:20212542.

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  22. Social capital determinants and labor market networks. (2021). Kutzbach, Mark ; Asquith, Brian ; Hellerstein, Judith K ; Neumark, David.
    In: Journal of Regional Science.
    RePEc:bla:jregsc:v:61:y:2021:i:1:p:212-260.

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  23. A New Method for Estimating Teacher Value-Added. (2020). McMillan, Robert ; Gu, Jiaying ; Gilraine, Michael.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:27094.

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  24. A Model of Scientific Communication. (2020). Shapiro, Jesse ; Andrews, Isaiah.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:26824.

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  25. Targeting humanitarian aid using administrative data: model design and validation. (2020). Cadoni, Paola ; Balciolu, Zeynep ; Amaz, Aytu ; O'Connell, Stephen D ; Altinda, Onur ; Foong, Aimee Kunze ; Jerneck, Matilda.
    In: HiCN Working Papers.
    RePEc:hic:wpaper:327.

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  26. How is Machine Learning Useful for Macroeconomic Forecasting?. (2020). Stevanovic, Dalibor ; Surprenant, St'Ephane ; Leroux, Maxime ; Coulombe, Philippe Goulet.
    In: Papers.
    RePEc:arx:papers:2008.12477.

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