First, the entropy balancing method (Hainmueller, 2012), which creates a balanced sample that can translate into lower approximation errors and reduced model dependency in finite samples, was applied. This method minimises variability among variables in the treatment and control groups. The control ...
The entropy balancing method calculates weights through a re-weighting scheme (until adequate balance in the pre-advised moments is achieved), while at the same time attempting to satisfy a set of balance and normalizing constraints— Eqs. (3), (4) and (5) in Hainmueller (2012). This set...
Entropy balancing has an additional "optimality" property ensuring that the weights are as uniform as possible, reducing the SE of the estimates. In this brief method note, we show that MAIC weights are mathematically identical whether estimated using entropy balancing or the method of moments. ...
Using a smaller sample of data and entropy balancing method we make iterative changes to Autor's regressions to study whether his results can be validated with adjusted data. Entropy balancing is a data pre-processing method that balances control and treatment groups' independent variables prior to...
Entropy balancing aims at covariate balance in data for binary classification [39]. It relies on a maximum entropy reweighting scheme that calibrates individual weights so that the reweighed groups satisfy a set of balance constraints that are imposed on the sample moments of the covariate distribut...
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analysis (HWGCA) method has been proposed, which combines the analytic hierarchy process (AHP) and entropy weight method (EWM) to calculate the hybrid ... L Wang,X Wang,H Zhong,... - IEEE 被引量: 3发表: 2013年 Load balancing prediction method of cloud storage based on analytic hierarchy...
Contact resistance was obtained by the transmission line method (TLM). According to the working mechanism of OFET, the total resistance at the on-state is made of contact resistance (Rcon) and channel resistance (Rch), which is described as Eq.5: ...
(CCD) of economic-social-ecological benefits. Firstly, this study relies on a literature review and structural interviews to build a coupling indicator system of economic-social-ecological benefits of urban renewal projects and calculates the weight of evaluation indicators based on the entropy method....
2012. Entropy balancing for causal effects: A multivariate reweighting method to produce balance sample in observational samples. Political Analysis, 20(1): 25–46. Google Scholar Hasegawa, M., & Kiyota, K. 2017. The effect of moving to a territorial tax system on profit repatriation: ...