Social scientists are producing an ever growing stream of research findings, which is ever more difficult to oversee. As a result, capitalization on earlier investment declines and accumulation of knowledge stagnates. This situation calls for more research synthesis and interest in synthetic...

Social scientists are producing an ever growing stream of research findings, which is ever more difficult to oversee. As a result, capitalization on earlier investment declines and accumulation of knowledge stagnates. This situation calls for more research synthesis and interest in synthetic...

The pronounced and persistent impact of the global financial crisis of 2008 motivates our empirical analysis of the role of institutions and macroeconomic fundamentals on countries' adjustment to shocks. Our empirical analysis shows that the associations of growth level, growth volatility,...

We examine what are common factors that determine systematic credit risk and estimate and interpret the common risk factors. We also compare the contributions of common factors in explaining the changes of credit default swap (CDS) spreads during the pre-crisis, crisis and post-crisis period....

This paper presents a variance decomposition method - factor analysis with Procrustes rotation - that is capable of separating the global, regional and idiosyncratic components of various financial market indicators. The method is applied to indicators of five key financial markets: sovereign...

This paper considers factor estimation from heterogenous data, where some of the variables are noisy and only weakly informative for the factors. To identify the irrelevant variables, we search for zero rows in the loadings matrix of the factor model. To sharply separate these irrelevant...

Using the first release of the three-wave, four-year General Social Survey panel dataset, we track changes in attitudes towards redistribution and government from 2006 to 2010 to find that decreases in demand for redistribution are associated with decreases in confidence in government after the...

We propose a model for analyzing euro area trade based on the interaction between macroeconomic and trade variables. First, we show that macroeconomic variables are necessary to generate accurate short-term trade forecasts; this result can be explained by the high correlation between trade and...

We bring together the spatial and global vector autoregressive (GVAR) classes of econometric models by providing a detailed methodological review of where they meet in terms of structure, interpretation, and estimation methods. We discuss the structure of cross-section connectivity (weight)...

This article investigates the connections between the prices of biofuels and many traded commodities and other relevant assets in Europe, USA and Brazil. The analysis uses a comprehensive dataset covering price data for 38 traded titles over the period 2003-2020. We utilize the minimum spanning...