This course, presented by the Institute for Capacity Development, gives government officials a rigorous foundation estimating of macro-econometric models and their application for nowcasting, ...
Differential privacy algorithms typically distort data in ways that bias estimates from standard econometric methods. We describe a simulation-based econometric method that addresses this issue. The ...
Introduction: The long-term high carbon economic model, while driving economic growth, has also led to climate issues. Faced with this challenge, reducing carbon emissions and advocating low-carbon ...
Econometrics, the application of statistical methods to economic data, can be instrumental in identification of anticompetitive behavior by assisting in: assessment of market power, evaluation of ...
Even for experienced empirical researchers, certain econometric issues can be often overlooked or seem confusing. It can seem like everyone else knows what’s going on except you! The rapid pace with ...
The development version of this package can be installed using devtools::install_github("https://github.com/ivanuricardo/TensorEconometrics"). The stable version can ...
Abstract: This study proposes a short-term traffic flow prediction framework. The vector autoregression (VAR) model based on econometric theory and the CNN-LSTM hybrid neural network model based on ...
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