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We assigned two cohorts of kindergarten students, totaling more than 24,000 children, to teachers within schools with a rule that is as-good-as-random. We collected data on children at the beginning of the school year, and applied 12 tests of math, language and executive function (EF) at the end...
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We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors and time varying volatilities, even when the cross sectional dimension of the system N is particularly large. The algorithm is based on a simple triangularisation which allows to...
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This study estimates Climate Adjusted Total Factor Productivity (CATFP) for agriculture in Latin America and Caribbean (LAC) countries, while also providing comparisons with several regions of the world. Climatic variability is introduced in Stochastic Production Frontier (SPF) models by...
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This paper proposes a forecasting model that combines a factor augmented VAR (FAVAR) methodology with the Nelson and … variables. Our forecasting model significantly improves the predicting accuracy of extant models in the literature, particularly …
Persistent link: https://www.econbiz.de/10011523983
information. Finally, when forecasting the headline CPI, our UIG for China outperforms traditional core measures over different …
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