This research introduces an innovative GDP nowcasting strategy tailored for developing countries, specifically addressing challenges related to limited data timeliness. The study centers on Bolivia, where the official monthly indicator of economic growth is released with a substantial delay of...

The purpose of this article is to demonstrate that it is necessary to model the connections of the Romanian economy for growth with the help of Artificial Intelligence (AI). That is why it is useful to align with the trends in the EU economy and on a global level to use innovative technologies,...

Modeling the unconditional distribution of returns on exchange rate and measuring its tails area are issues in the finance literature that have been studied extensively by parametric and non-parametric estimation procedures. However, a conflict of robustness is derived from them because the time...

This paper proposes an analysis of early retirement for private sector workers in Belgium. On the contrary of early studies in this field (Pestieau and Stijns [1999] and Dellis et al. [2004]), our study is based on a structural model of labour supply. This has the advantage of allowing us to...

Completing data sets that are collected in heterogeneous units is a quite frequent problem. Chow and Lin (1971) were the first to develop a unified framework for the three problems (interpolation, extrapolation and distribution) of predicting times series by related series (the 'indicators')....

One reason for the recent asset price bubbles in many developed countries could be regulatory capital arbitrage. Regulatory and legal changes can help traditional banks to move their assets off their balance sheets into the lightly regulated shadows and thus enable regulatory arbitrage through...

We present a new-Keynesian model for small open economy, with price rigidities stemming from a Calvo pricing scheme (1983), monopolistic banking system, financial dollarization of the economy and monetary and fiscal policy governed by rules. We estimate the model on Serbian data and propose...

Urban systems are becoming increasingly complex as urban economies, social and political structures and norms, infrastructure systems and technologies evolve. Therefore, the development of operational urban simulation models is required in order to achieve an improvement of the quality of...

In this paper, we explore machine learning (ML) methods to improve inflation forecasting in Brazil. An extensive out-of-sample forecasting exercise is designed with multiple horizons, a large database of 501 series, and 50 forecasting methods, including new ML techniques proposed here,...

The purpose of this article is to demonstrate that it is necessary to model the connections of the Romanian economy for growth with the help of Artificial Intelligence (AI). That is why it is useful to align with the trends in the EU economy and on a global level to use innovative technologies,...