Recentered influence function (RIF) regressions estimate the effects of small location shifts in continuous explanatory variables on a distributional statistic (e.g., quantile, variance or Gini coefficient) of a
2016. "Fixed effects in Unconditional Quantile Regression." The Stata Journal no. 16 (2):403-415. Chung, Choe, and Philippe Van Kerm. 2018. "Foreign Workers and the Wage Distribution: What Does the Influence Function Reveal." Econometrics no. 6 (2):28. Cowell, F. and E. Flachaire ...
Quantitative models have been developed to predict structural and functional characteristics of macroinvertebrate community as a function of antecedent flow conditions, habitat and physico銉絟emical water characteristics. Those models allow to identify the main drivers and predict the effect of different ...
Stock market volatility associated with political instability also remains of crucial interest for researchers (Bittlingmayer1992; Irshad2017; Hillier and Loncan2019; Jhawar and Seal2023) in both developed and developing economies. Usually, at the advent of any anomalous political event, the stock mar...
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Number of Activation Functions Prediction target Hidden layers Hidden Layer Output Layer Loss Function Debate success Ypu∈{0,1} 5 ReLU Sigmoid Binary Cross-Entropy Reputation rpu∈Z+ 3 ReLU Rectifier Mean squared error Skill spu∈[0,100] (percentage) 3 ReLU Sigmoid Mean squared error Position...
Technical efficiency of the highest kind function of input distance Dti = (Yt,Xt) multiplied by Fti = (yt,xt/c,s) equals one. The input distance function can be thought of as the compression fraction of a certain location (yt,xt) compressing to ideal input. WhenDtᵢ = (yt,xt) = ...
function of digital finance in the financial system. By adding new features of digital assets, the digital financial cube might be expanded to match the level of openness of industrial firms in the future Industry 4.0 technological framework6. The long-term causal impacts of digital financial ...
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