Following the COVID-19 pandemic, Romania and other Central and Eastern European (CEE) countries faced some of the highest inflation rates in the European Union, creating a pressing need for accurate short-term forecasts to guide monetary policy. This study compares modern machine learning (ML)...

Resumen This paper presents a study on the determinants of the demand for inbound tourism in the tourist regions of Argentina between 2007 and 2019. Using non-linear autoregressive distributed lag (NARDL) models, we report different effects of the various explanatory variables per region. The...

This paper presents a study on the determinants of the demand for inbound tourism in the tourist regions of Argentina between 2007 and 2019. Using non-linear autoregressive distributed lag (NARDL) models, we report different effects of the various explanatory variables per region. The exchange...

Purpose This study aims to examine the impact of lending liquidity on house prices especially during black swan events such as the Global Financial Crisis of 2007–08 and COVID-19. Homeownership is an important goal for many, and house prices are a significant driver of household wealth and the...