The COVID-19 pandemic and induced economic and social constraints have significantly
impacted the confidence of both consumers and businesses. Despite that, comprehensive …

As one of the main pillars of the ifo Institute's economic research, the ifo Business Survey
has been conducted monthly since 1949, a year after the foundation of the ifo Institute. Since …

Forecasting GDP growth rates is a formidable challenge, compounded by the inherent
volatility, the complexity of the economic landscape, and the presence of a multitude of …

Abstract Gross Domestic Product (GDP) and consumer price index (CPI) are significant
indicators to describe and evaluate economic activity and levels of development. They are …

Research background: The post-World Financial Crisis period has showed us that an
application of the qualitative data focused on the expectations of the enterprises and …

We present a machine-learning method for sentiment indicators construction that allows an
automated variable selection procedure. By means of genetic programming, we generate …

This article sheds light on the impact of the media on economists' expectations for future
economic developments. We conducted a worldwide economic expert survey and find that …

This study aims to model the time series data of Rwanda's GDP per capita using the Box–
Jenkins (BJ) approach as a conventional approach and artificial neural networks (ANNs) as …

Abstract The Tax Cuts and Jobs Act constitutes the largest change to the US tax system
since the 1980s and thoroughly alters the way in which multinational companies are taxed …

One of the most often used data science techniques in business, finance, supply chain
management, production, and inventory planning is time-series forecasting. Due to the …