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Titlebook: Applications of Optimal Transport to Economics and Related Topics; Vladik Kreinovich,Woraphon Yamaka,Supanika Leurcha Book 2024 The Editor

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,Was wünschen sich Kunden von Verkäufern?,the sparse-group LASSO model consistently outperforms other models when forecasting four steps ahead, both before and after COVID-19 episodes. For short-term forecasting, both the MIDAS and sparse-group LASSO models exhibit favorable performance compared to alternative approaches. When comparing our
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A. N. Timoshevskii,B. Z. Yanchitsky and trade balance had modest, long-term positive impacts on emission volatility. These findings emphasize that insufficient growth in TFP hampers efforts to reduce environmental degradation and highlight the importance of enhancing total factor productivity and investing in research and development
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Forecasting GDP with Many Predictors Using Sparse-Group LASSO MIDASthe sparse-group LASSO model consistently outperforms other models when forecasting four steps ahead, both before and after COVID-19 episodes. For short-term forecasting, both the MIDAS and sparse-group LASSO models exhibit favorable performance compared to alternative approaches. When comparing our
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Approximate Stochastic Dominance Revisitedion . is always either larger or only slightly smaller than the utility corresponding to ., then we can still conclude that the second action is better (or of the same quality) than the first action. In this paper, we show how to describe such approximate stochastic dominance in precise terms.
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Border Crossing: Bayesian Gravity and Cross-Border Exports Between Myanmar and Its Neighboursnificant negative predictor of border exports, and (iii) border exports to destinations that have free trade agreements with Myanmar are predicted to be higher than destinations without such agreements.
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