The recent global financial crisis has had a diverse effect on countries’ fiscal stance, especially throughout the EU. This paper examines the impact of macroeconomic shocks, including those to government revenues and expenditures, on EU countries’ fiscal stance, on aggregate, and within the...

The study analyses the business cycles of the G7 countries in a structural vector autoregression(SVAR) framework comprising output, nominal interest rate and inflation. Common and country-specific supply, demand and nominal shocks of each G7 country are identified, and the corresponding shock...

The study analyses the business cycles of the G7 countries in a structural vector autoregression(SVAR) framework comprising output, nominal interest rate and inflation. Common and country-specific supply, demand and nominal shocks of each G7 country are identified, and the corresponding shock...

The paper questions the reasonability of using forecast error variance decompositions for assessing the role of different structural shocks in business cycle fluctuations. It is shown that the forecast error variance decomposition is related to a dubious definition of the business cycle. A...

The paper questions the reasonability of using forecast error variance decompositions for assessing the role of different structural shocks in business cycle fluctuations. It is shown that the forecast error variance decomposition is related to a dubious definition of the business cycle. A...

The paper examines the effects of monetary policy shocks and its puzzles on a small open economy using quarterly Korean data by applying a theoretically motivated Structural VAR, with the objective of introducing empirical evidence that investigates the magnitude and persistence of monetary...

Bivariate SVAR models employing long-run identifying restrictions are popular tools to investigate the source of business cycle fluctuations. Their advantage is the simplicity in use and interpretation. However, their low dimension may also lead to a failure of the identification procedure, with...

Bivariate SVAR models employing long-run identifying restrictions are often used to investigate the source of business cycle fluctuations. Their advantage is the simplicity in use and interpretation. However, their low dimension may also lead to a failure of the identification procedure, with...

Bivariate SVAR models employing long-run identifying restrictions are often used to investigate the source of business cycle fluctuations. Their advantage is the simplicity in use and interpretation. However, their low dimension may also lead to a failure of the identification procedure, with...