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pro vyhledávání: '"Huang, Melody Y."'
Autor:
Huang, Melody Y, Parikh, Harsh
Randomized Controlled Trials (RCTs) are pivotal in generating internally valid estimates with minimal assumptions, serving as a cornerstone for researchers dedicated to advancing causal inference methods. However, extending these findings beyond the
Externí odkaz:
http://arxiv.org/abs/2402.17042
Autor:
Huang, Melody Y., Vegetabile, Brian G., Burgette, Lane F., Setodji, Claude, Griffin, Beth Ann
We expand upon the simulation study of Setodji et al. (2017) which compared three promising balancing methods when assessing the average treatment effect on the treated for binary treatments: generalized boosted models (GBM), covariate-balancing prop
Externí odkaz:
http://arxiv.org/abs/2107.03922
Autor:
Huang, Melody Y1 (AUTHOR) melodyhuang@fas.harvard.edu
Publikováno v:
Journal of the Royal Statistical Society: Series A (Statistics in Society). Oct2024, Vol. 187 Issue 4, p900-918. 19p.
In the following paper, we use a topic modeling algorithm and sentiment scoring methods to construct a novel metric that serves as a leading indicator in recession prediction models. We hypothesize that the inclusion of such a sentiment indicator, de
Externí odkaz:
http://arxiv.org/abs/1805.04160
Autor:
Huang, Melody Y.1 (AUTHOR) m.huang@ucla.edu, Rojas, Randall R.1 (AUTHOR), Convery, Patrick D.1 (AUTHOR)
Publikováno v:
Empirical Economics. 2020, Vol. 59 Issue 6, p2821-2839. 19p. 4 Charts, 9 Graphs.
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