Employing cross-country data, this paper evaluates the transitional dynamics predictions of a non-scale growth model of endogenous technology innovation and imitation. We show that, unlike the neoclassical growth framework, the transitional dynamics of the R&D-based growth model can account for...

Since most official estimates of major macroeconomic variables that market participants and policy makers keenly monitor in real time come out with significant publication lags, nowcasting literature especially targeted on key macro variables has trended over the recent years. Nowcasting refers...

In this paper we study international linkages when forecasting unemployment rates in a sample of 24 OECD economies. We propose a Global Unemployment Factor (GUF) and test its predictive ability considering in-sample and out-of-sample exercises. Our main results indicate that the predictive...

The medium-term forecast released by the RF Ministry of Economic Development has been altered by downgrading the economic indices compared with its April version. However, the growth rate of real GDP for 2019 has been left unchanged (1.3%), and its index for the next year has been decreased from...

Artificial neural networks have become increasingly popular for statistical model fitting over the last years, mainly due to increasing computational power. In this paper, an introduction to the use of artificial neural network (ANN) regression models is given. The problem of predicting the GDP...