Macroeconomic forecasters typically forecast fewer recessions than the number experienced, which means economic growth tends to be over-predicted on average. Consequently, forecast errors are not normally distributed, making it difficult to convey the uncertainty and risks based on the...

The Least-Squares Monte Carlo model (LSM model) has emerged as the derivative valuation technique with the greatest impact in current practice. As with other options valuation models, the LSM algorithm was initially posited in the field of financial derivatives and its extension to the realm of...

Microcredit can be an effective tool for tackling the global poverty problem. Making microcredit work better for the poor necessitates a framework that integrates the principles of good governance in the design and implementation of a microcredit program. The integration of good governance...

This paper examines the key elements of the quantitative content analysis developed by the scientist Philip Mayring as a method of data evaluation. First, the circular research process is presented to explain the application of this method for scientific interviews in student theses. The content...

Greece’s labour market entered the COVID-19 shock following several years of sustained employment growth and with wages picking up. Unemployment remained high and employment rates were low, especially among women, the young and older workers. The shock led to a sharp fall in labour force...

Having access to credit is essential for households to address the volatility of their personal finances over time and for firms to fund their investments. Accessing financial services at affordable cost on the other hand, is crucial to ensure financial security of all economic units. Despite...

The Zambia country pilot study was conducted by the OECD Development Assistance Committee (DAC) to explore the challenges of transition finance for a commodity-based Least Developed Country (LDC). In particular, debt sustainability concerns are viewed within the context of the shifting financing...

This paper examines whether machine learning (ML) algorithms can outperform a linear model in predicting monthly growth in Canada of both house prices and existing home sales. The aim is to apply two widely used ML techniques (support vector regression and multilayer perceptron) in economic...

This literature review focuses on education policy implementation, its definition, processes and determinants. It aims to clarify what implementing policies involve in complex education systems to support policy work, building on the literature and country examples. An introduction delves into...