This study investigates the dynamics of quarterly real GDP per capita growth rates across four countries, the US, UK, Canada and France. I obtain estimates for ARIMA(p,q) processes for first differences of log quarterly real GDP per capita using Reversible Jump Markov Chain Monte Carlo, allowing...

This note estimates several constrained versions of an optimization-based multi-country model to test the sources of heterogeneity within the euro area. We show that the main source is the asymmetry of shocks affecting the economies and that the heterogeneity of behaviors does not seem to be of...

This article tests the Black's hypothesis in five crisis-affected Asian countries (India, Japan, Malaysia, South Korea, and Thailand). The hypothesis posits that economies face a positive relationship between output growth and output volatility. Using monthly data of the industrial production...

In the late 90's, after severe financial and economic crisis, accompanied by inflation and exchange rate instability, Eastern Europe emerged into two groups of countries with radically contrasting monetary regimes (Currency Boards and Inflation targeting). The task of our study is to compare...

Empirical growth research faces a high degree of model uncertainty. Apart from the neoclassical growth model, many new (endogenous) growth models have been proposed. This causes a lack of robustness of the parameter estimates and makes the determination of the key determinants of growth...

The health of a population is affected by social, environmental, and economic factors. Pension providers and consultants, insurance companies, government agencies and individuals in the developed world have a vested interest in understanding how the economic growth will impact on the life...

Studying correlation between foreign direct investments (FDI) and economic growth might be as generous idea as meeting enough defaults and obstacles when put into practice. Then, the pair-models idea (Voivodas 1973) looks appropriate for such a study since determination complexities and...

A conspicuous lacuna in the literature on Sub-Saharan Africa (SSA) is the lack of clarity on variables key for driving and predicting inclusive growth. To address this, I train the machine learning algorithms for the Standard lasso, the Minimum Schwarz Bayesian Information Criterion (Minimum...

A conspicuous lacuna in the literature on Sub-Saharan Africa (SSA) is the lack of clarity on variables key for driving and predicting inclusive growth. To address this, I train the machine learning algorithms for the Standard lasso, the Minimum Schwarz Bayesian Information Criterion (Minimum...