We exploit a panel dataset of Hungarian firms merged with product-level trade data for the period 1992-2003 to investigate the relation between firms' trading activities (importing, exporting or both) and productivity. We find important self-selection effects of the most productive firms induced...

We exploit a panel dataset of Hungarian firms merged with product-level trade data for the period 1992-2003 to investigate the relation between firms' trading activities (importing, exporting or both) and productivity. We find important self-selection effects of the most productive firms induced...

Az 1992 és 2003 közötti magyarországi vállalati és termékszintû külkereskedelmi adatok felhasználásával megmutatjuk, hogy az import lényegesen nagyobb hatással van a vállalati termelékenységre, mint az, hogy a állalat exportál-e vagy sem. Megfordítva, az is igaz, hogy az...

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...

This paper presents the specificities of Hungarian foreign trading firms from different perspectives, like concentration, efficiency and sectoral structure. Hungarian trade is highly concentrated similarly to other countries. Trading firms are more efficient than their non-trading peers,...

This study analyses properties of fast growing small and medium sized firms, known as gazelles. Using balance sheet information for the 2000-2008 period, we show that a small fraction of companies is responsible for a large share of new jobs created in the business sector. For instance, the top...