Chernozhukov, V., Demirer, M., Duflo, E. und Fernández-Val, I. (2018) Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments [cd], NBER working paper series. Cambridge, Mass.: National Bureau of Economic Research. doi:10.3386/w24678.
Chicago Manual of Style 17th edition (full note)Chernozhukov, Victor, Mert Demirer, Esther Duflo, und Iván Fernández-Val. Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments. Cd. NBER working paper series. Cambridge, Mass.: National Bureau of Economic Research, [2018?], Cambridge, Mass.: National Bureau of Economic Research, [2018?]. https://doi.org/10.3386/w24678.
American Psychological Association 7th editionChernozhukov, V., Demirer, M., Duflo, E., & Fernández-Val, I. (ca. 2018). Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments [Cd]. In NBER working paper series. National Bureau of Economic Research. https://doi.org/10.3386/w24678
Modern Language Association 9th editionChernozhukov, V., M. Demirer, E. Duflo, und I. Fernández-Val. „Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments“. NBER working paper series, cd, National Bureau of Economic Research, 2018, https://doi.org/10.3386/w24678.
ISO-690 (author-date, Deutsch)CHERNOZHUKOV, Victor, Mert DEMIRER, Esther DUFLO und Iván FERNÁNDEZ-VAL, 2018. Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments. Cambridge, Mass.: National Bureau of Economic Research