This paper provides a detailed description of Hungarian trade data and key patters drawn at the firm and product level. The IEHAS-CEFiG Hungary dataset is an almost universal panel of balance sheet information (1992-2006) merged with firmproductcountry level customs data (1992-2003) taken until...

Firms may benefit from proximity to each other due to the existence of several externalities. The productivity premia of firms located in agglomerated regions an be attributed to savings and gains from external economies. However, the capacity to absorb information may depend on activities of...

The CESEE Bank Lending Survey is a unique instrument developed in the context of the Vienna Initiative to monitor cross-border banking activities and deleveraging in Central, Eastern and South-Eastern Europe. It serves to better understand the determinants/constraints influencing credit growth...

The Central, Eastern and South-Eastern Europe (CESEE) Bank Lending Survey was developed in the context of the Vienna Initiative 2.0 and has been endorsed by the various participating institutions as an instrument for: monitoring cross-border banking activities and deleveraging in the region;...

The Central, Eastern and South-Eastern Europe (CESEE) Bank Lending Survey was developed in the context of the Vienna Initiative 2.0 and has been endorsed by the various participating institutions as an instrument for: monitoring cross-border banking activities and deleveraging in the region;...

The Magyar Nemzeti Bank (the central bank of Hungary) introduced a "funding for lending" type loan program aimed at small and medium sized enterprises (SMEs) in mid-2013. We combine firms' balance sheet data with two loan data sets to study the program's impact on firm level investment in 2013....

This paper explores the relationship between the regional business environment, lagging regions, and firm performance in four European countries: Italy, Poland, Romania, and Spain. It combines firm-level data from Orbis measuring sales, employment, productivity, and profitability, with...

This paper reviews the data quality of the EIB Group Survey on Investment and Investment Finance (EIBIS). It finds that the chosen sampling framework (the Bureau van Dijk ORBIS database) captures the business population of interest well and that there is little evidence ofselection bias during...

High-Growth Enterprises (HGEs) have a large economic impact, but are notoriously hard to predict. Previous research has linked high-growth episodes to the configuration of lumpy indivisible resources inside firms, such that high capacity utilisation levels might stimulate future growth. We...