Recently gravity trade models are applied to disaggregated trade data. Here many zeros arecharacteristic. In the presence of excess zeros usual Poisson Pseudo Maximum Likelihood(PPML) is still consistent, the variance covariance matrix however is invalid. Correcteconomic interpretation however...

Motivation of virtually all regional economic integration (REI) initiatives has been prospect of enhanced economic growth. Although REI's role in contributing to growth and development was recognised and acknowledged, its importance in Africa has never been properly outlined. Theoretical...

This study analyzes the sensitivity of trade flows to trade barriers from gravity equations, using different econometric techniques recently highlighted in the literature. Specifically, we compare a benchmark OLS fixed effects specification a la Feenstra (2002) with three emerging estimation...

Informes recientes muestran la creciente adopción en el sector financiero de técnicas de aprendizaje automático o machine learning (ML) en la gestión del riesgo de crédito. En este entorno, los supervisores se encuentran ante el reto de permitir que se maximicen las oportunidades derivadas...

Artículo de revista ; The use of artificial intelligence tools has escalated recently in all sectors of the economy owing, among other factors, to the growing volume of digital data and higher computational capacity. Major benefits may be reaped from applying these tools to the provision of...

Uno de los principales retos en el uso de modelos de aprendizaje automático, o machine learning en inglés (ML), en finanzas es cómo explicar sus resultados. Recientemente han aparecido técnicas de interpretabilidad con este objetivo, pero existe discusión sobre su fiabilidad. En este...

Recientes avances tecnológicos, como el almacenamiento masivo de datos y la computación en la nube, están dando lugar a un mayor uso de la inteligencia artificial en la economía y las finanzas, y modificando aspectos fundamentales tanto para entidades como para supervisores. En este...

The decision tree is a well-known methodology for classification and regression. In this dissertation, we focus on the minimization of the misclassification rate for decision tree classifiers. We derive the necessary equations that provide the optimal tree prediction, the estimated risk of the...

Over the time a large number of reciprocal preferential trade agreements (RTAs) have been concluded among countries. Recently many studies have used gravity equations in order to estimate the effect of RTAs on trade flows between partners. These studies report very different estimates since they...