Results 41 to 50 of about 18,931,441 (264)
BMJ Global Health, 2019 Background Evidence suggests that social protection policies such as Brazil’s Bolsa Família Programme (BFP), a governmental conditional cash transfer, may play a role in tuberculosis (TB) elimination. However, study limitations hamper conclusions.
Daniel J Carter +10 more
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Labor Supply and Conditional Cash Transfer: Evidences from Tekoporã Program.
Población y Desarrollo, 2020 This article searches understand the effects caused by the Conditional Cash Transfer Program Tekoporã of Paraguay in labor supply of participants. To achieve this purpose, a group of program participants was identified and, using the Propensity Score ...
Juan Carlos Núñez Guerrero
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Journal of Open Innovation: Technology, Market and Complexity, 2023 Do outside funds and increased access to capital have an effect on the market valuation of technology startup firms? Should entrepreneurs prioritize outside funding to increase the values of their firms?
Amril Nazir, Dina Tbaishat
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A Meta-Learning Approach for Estimating Heterogeneous Treatment Effects Under Hölder Continuity
MathematicsEstimating heterogeneous treatment effects plays a vital role in many statistical applications, such as precision medicine and precision marketing. In this paper, we propose a novel meta-learner, termed RXlearner for estimating the conditional average ...
Zhihao Zhao, Congyang Zhou
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Simultaneous inference for Best Linear Predictor of the Conditional Average Treatment Effect and other structural functions [PDF]
, 2017 This paper provides estimation and inference methods for a structural function, such as Conditional Average Treatment Effect (CATE), based on modern machine learning (ML) tools. We assume that such function can be represented as a conditional expectation
Vira Semenova, V. Chernozhukov
semanticscholar +1 more source
Economics LettersWe propose a model averaging approach, combined with a partition and matching method to estimate the conditional average treatment effects under heteroskedastic error settings. The proposed approach has asymptotic optimality and consistency of weights and estimator. Numerical studies show that our method has good finite-sample performances.
Shi, Pengfei, Zhang, Xinyu, Zhong, Wei
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The conditional average entropies
, 2021 This paper introduces two more definitions of the conditional average entropy. Some properties of the three definitions are studied and some mistakes in the preceding literature are ...
Kittaneh, Omar
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MathematicsWe present a comprehensive framework for estimating heterogeneous treatment effects and evaluating decision-making policies in high-dimensional settings.
Jong-Min Kim
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Estimation of conditional average treatment effects on distributed confidential data
Expert Systems with Applications45 pages, 12 ...
Yuji Kawamata +4 more
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BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect
AlgorithmsA method for estimating the conditional average treatment effect under the condition of censored time-to-event data, called BENK (the Beran Estimator with Neural Kernels), is proposed.
Stanislav Kirpichenko +3 more
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