We provide the theoretical foundations for a new estimation algorithm that non-parametrically infers level-k beliefs from laboratory choices in generalized guessing games with heterogeneous interactions. The algorithm takes the strategic dependencies of the game and subjects' choices as an input...

We provide the theoretical foundations for a new estimation algorithm that non-parametrically infers level-k beliefs from laboratory choices in generalized guessing games with heterogeneous interactions. The algorithm takes the strategic dependencies of the game and subjects' choices as an input...

In the last decade, open source programming technology is widely used among statisticians for developing a new statistical software and data analysis. This is R software environment and the main objective of this paper is to underline the importance of R for statistical computations, data...

The formation of the European Union (EU) is the one of the biggest political – economic events of the last 50 years. The aim of this study is to develop EU economy functioning system dynamic model. Main research method is system dynamics. General scheme of EU economy system dynamic model is...

In this paper, we focus on the analysis of the drivers of LSTI ratio dynamics. Against this backdrop, we try to bridge this gap by introducing an average synthetic LSTI calculation and examine how various factors affect the LSTI ratio of borrowers that took out consumer and housing loans in...

This study uses a sample of 71 countries and nonparametric quantile and partial regressions to model a number of threatened species (reptiles, mammals, fish, birds, trees, plants) in relation to various economic and environmental variables (GDPc, CO¬2 emissions, agricultural production, energy...

Most point-in-time PD term structure models used in industry for stress testing and IFRS9 expected loss estimation apply only to macroeconomic scenarios. Loan level credit quality is not a factor in these models. In practice, credit profile at assessment time plays an important role in the...

One of the most important environmental health issues is air pollution, causing the deterioration of the population’s quality of life, principally in cities where the urbanization level seems limitless. Among ambient pollutants, carbon monoxide (CO) is well known for its biological toxicity....

Over the past decade, a growing number of studies have examined the role of agricultural export in economic growth in Africa. The literature, however, provides conflicting results about the agricultural export-led growth hypothesis. In this study, we aim to examine the impact of agricultural...

This research conducts an in-depth econometric analysis of key economic indicators in Madagascar, with a specific focus on Gross Domestic Product (GDP) and the USD exchange rate (USD/MGA). Employing the rigorous Box-Jenkins methodology with ARIMAX modeling, we meticulously examine historical...