The number of employees and the current status of firms( active or inactive) are also available.Table 1displays the list ofall the updated balancesheet variables in EFIGE and the change from the year of the beginning of the crisis versus the last year observed in the updated EFIGE dataset, namely 2008 versus 2014. Bruegel considers itself a public good and takes no institutional standpoint.However, the right tail of the distribution has not seen great changes, meaning that there has been little reallocation of market share towards the more efficient firms active in the manufacturing sector. It is important to mention that the availability of a longer time series offers more accurate results when dealing with structural estimations, TFP estimation being an example. Information was mostly collected as a cross-section for the year 2008, with some questions regarding firms’ activity and behaviour in the period 2007-2009 and before the economic crisis of 2008.Moreover, survey data was integrated with balancesheet information from the Amadeus database, held by Bureau van Dijk, for the years 2001-2009.
When changes are complete, your application calls a method that writes the cached changes to the database and clears the cache.If there is a problem writing changes to the database, your application is notified immediately: the dataset raises an exception when you post the record.If your dataset uses a remote database server, this approach can degrade performance due to network traffic between your application and the server every time you move to a new record after editing the current record.This database is also known as the EU-EFIGE/Bruegel-Unicredit dataset (EFIGE dataset hereafter).
The dataset includes data from a survey performed in early 2010 among firms in seven EU countries, namely Austria, France, Germany, Hungary, Italy, Spain and the United Kingdom.
The remaining 92 firms have leftthe Amadeus database; hence, for this small portion, the EFIGE set only contains balancesheet data until 2009.