The aim of the paper is to analyse the factors behind the rapid trade integration of the Central and Eastern European countries with the euro area in the past ten years and to gauge the potential for further integration. We use as benchmark an enhanced gravity model estimated with a large sample...

The aim of the paper is to analyse the factors behind the rapid trade integration of the Central and Eastern European countries with the euro area in the past ten years and to gauge the potential for further integration. We use as benchmark an enhanced gravity model estimated with a large sample...

Klaus-Heiner Röhl, Institut der deutschen Wirtschaft, sieht die Möglichkeit einer „Zombifizierung“ mancher Branchen, die, neben einer anhaltenden Investitionsschwäche, zu einem Hindernis des Aufschwungs werden könnte. Je länger der Lockdown und die Beeinträchtigungen andauern, desto...

The aim of the paper is to analyse the factors behind the rapid trade integration of the Central and Eastern European countries with the euro area in the past ten years and to gauge the potential for further integration. We use as benchmark an enhanced gravity model estimated with a large sample...

A panel data set for six Central and Eastern European countries (the Czech Republic, Hungary, Poland, Romania, Slovakia and Slovenia) is used to estimate the monetary exchange rate model with panel cointegration methods, including the Pooled Mean Group estimator, the Fully Modified Least Square...

The aim of the paper is to analyse the factors behind the rapid trade integration of the Central and Eastern European countries with the euro area in the past ten years and to gauge the potential for further integration. We use as benchmark an enhanced gravity model estimated with a large sample...

The authors estimate gravity models using a large panel of bilateral trade flows across 61 countries between 1980 and 2003, which are applied as a benchmark for the integration of Central and South Eastern European countries with the euro area. They show that a careful examination of the fixed...

A panel data set for six Central and Eastern European countries (the Czech Republic, Hungary, Poland, Romania, Slovakia and Slovenia) is used to estimate the monetary exchange rate model with panel cointegration methods, including the Pooled Mean Group estimator, the Fully Modified Least Square...

A panel data set for six Central and Eastern European countries (the Czech Republic, Hungary, Poland, Romania, Slovakia and Slovenia) is used to estimate the monetary exchange rate model with panel cointegration methods, including the Pooled Mean Group estimator, the Fully Modified Least Square...