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pro vyhledávání: '"Kaplan, David M."'
Autor:
Kaplan, David M.
Publikováno v:
Journal of Business & Economic Statistics 42 (2024) 839-850
Instead of testing for unanimous agreement, I propose learning how broad of a consensus favors one distribution over another (of earnings, productivity, asset returns, test scores, etc.). Specifically, given a sample from each of two distributions, I
Externí odkaz:
http://arxiv.org/abs/2408.13949
Autor:
Kaplan, David M., Blei, David M.
Publikováno v:
Seventh IEEE International Conference on Data Mining (ICDM 2007), Omaha, NE, USA, 2007, pp. 553-558
We develop a quantitative method to assess the style of American poems and to visualize a collection of poems in relation to one another. Qualitative poetry criticism helped guide our development of metrics that analyze various orthographic, syntacti
Externí odkaz:
http://arxiv.org/abs/2310.09357
Autor:
Kaplan, David M.
Publikováno v:
Stata Journal 22 (2022) 379-403
In this article, I introduce the sivqr command, which estimates the coefficients of the instrumental variables (IV) quantile regression model introduced by Chernozhukov and Hansen (2005). The sivqr command offers several advantages over the existing
Externí odkaz:
http://arxiv.org/abs/2310.09013
Autor:
Kaplan, David M.
Publikováno v:
Stata Journal 19 (2019) 832-848
The distcomp command is introduced and illustrated. The command assesses whether or not two distributions differ at each possible value while controlling the probability of any false positive, even in finite samples. Syntax and the underlying methodo
Externí odkaz:
http://arxiv.org/abs/2110.02327
Publikováno v:
In Clinical Psychology Review March 2024 108
Autor:
Kaplan, David M.
This note provides additional interpretation for the counterfactual outcome distribution and corresponding unconditional quantile "effects" defined and estimated by Firpo, Fortin, and Lemieux (2009) and Chernozhukov, Fern\'andez-Val, and Melly (2013)
Externí odkaz:
http://arxiv.org/abs/2010.03606
Publikováno v:
In Fisheries Research August 2023 264