Percentiles estimation plays an important role at the stage of making decisions in many scientific fields. However, the up-to-now research on developing estimation methods for percentiles has been based on the assumption that the data in the sample are formed independently. In the current paper...

Separating seasonal components from other sources of economic fluctuations is crucial for both economic modeling and policy making. Practitioners treat seasonality as noise to be removed before estimating models and tend to apply deseasonalizing methods i

In a small open economy, the exchange rate is a key variable from the perspective of the political economy of macro policy. It is, indeed, one of the most powerful instruments that governments can use to achieve their goals. Recent theories of political macroeconomics stress that maximization of...

By means of Self-Organizing Maps we cluster fourteen European countries according to the most suitable way to model their agents’ expectations. Using the financial crisis of 2008 as a benchmark, we distinguish between those countries that show a progressive anticipation of the crisis and those...

The objective of this paper is to examine the factors that determine the inflow of foreign direct investment to Qatar and the attractiveness of the country to foreign direct investment i.e., identifying the role of major macroeconomic variables that determine FDI, namely; Gross Domestic Product,...

Time series models are often adopted for forecasting because of their simplicity and good performance. The number of parameters in these models increases quickly with the number of variables modelled, so that usually only univariate or small-scale multivariate models are considered. Yet, data...

In this paper we examine linkages across non-energy commodity price developments by means of a factor-augmented VAR model (FAVAR). From a set of non-energy commodity price series, we extract two factors, which we identify as common trends in metals and a food prices. These factors are included...

We analyze the transmission of producer price in inflation shocks across the U.S. manufacturing industries from 1947 to 2018 using the Diebold-Yilmaz Connectedness Index framework, which fully utilizes the information in generalized variance decompositions from vector autoregressions. The...

We analyze the transmission of producer price in inflation shocks across the U.S. manufacturing industries from 1947 to 2018 using the Diebold-Yilmaz Connectedness Index framework, which fully utilizes the information in generalized variance decompositions from vector autoregressions. The...