The EU-EFIGE/Bruegel-unicredit dataset. Bruegel Working Paper 2012/13, October 2012

This paper describes the EU-EFIGE/Bruegel-UniCredit dataset (in short the EFIGE dataset), a database recently collected within the EFIGE project (European Firms in a Global Economy: internal policies for external competitiveness) supported by the Directorate General Research of the European Commission through its 7th Framework Programme and coordinated by Bruegel. • The database, for the first time in Europe, combines measures of firms’ international activities (eg exports, outsourcing, FDI, imports) with quantitative and qualitative information on about 150 items ranging from R&D and innovation, labour organisation, financing and organisational activities, and pricing behaviour. Data consists of a representative sample (at the country level for the manufacturing industry) of almost 15,000 surveyed firms (above 10 employees) in seven European economies (Germany, France, Italy, Spain, United Kingdom, Austria, Hungary). Data was collected in 2010, covering the years from 2007 to 2009. Special questions related to the behaviour of firms during the crisis were also included in the survey. • We illustrate the construction and usage of the dataset, capitalising on the experience of researchers who have exploited the data within the EFIGE project. Importantly, the document also reports a comprehensive set of validation measures that have been used to assess the comparability of the survey data with official statistics. A set of descriptive statistics describing the EFIGE variables within (and across) countries and industries is also provided.

Commonalities and Differences in Labour Market Developments and Constraints in Different EU Regions. Factor Markets Working Paper No. 22, February 2012

This paper provides a detailed overview of the differences across EU member states’ labour markets, through the extensive use of descriptive statistics. The objective is two-fold: firstly, it identifies the commonalities and differences in rural labour markets across EU regions and their developments, with special regard to agriculture, and secondly it emphasises the constraints that may hinder the efficient functioning of labour markets. Therefore, the paper starts with a description of the main indicators in the general labour market theory, such as the structure of the population in terms of age and gender distribution, unemployment and activity rates, employment levels, quality of human capital, migration patterns, and so forth. Secondly, we focus on the differences among rural and urban areas to then look closely at the agricultural sector. The institutional framework in which labour market institutions operate is also included. Lastly, as an attempt to summarise the analysis and to classify the EU member states according to certain rural and specific agricultural indicators, cluster analysis is also employed. Policy implications include investment in human capital and vocational training, support to young farmers, promoting economic diversification and upgrading infrastructure, with special regard to the new member states and to the Southern parts of Europe.

A Convergence Process in Household Credit in Central and Eastern Europe. ECRI Commentary No. 16, 30 October 2015

The liberalisation of Eastern Europe’s market during the 1990s and the 2004 EU enlargement have had a great impact on the economies of Central and Eastern Europe (CEE). Indeed, prior to these events, the financial system and household credit markets in CEE were underdeveloped. Nonetheless, it appeared to numerous economists that the development of the CEE financial system and credit markets was following an intensely positive trend, raising the question of sustainability. Many variables impact the level and growth rate of credit; several economists point out that a convergence process might be one of the most important. Using a descriptive statistics approach, it seems likely that a convergence process began during the 1990s, when the CEE countries opened their economies. However, it also seems that the main driver of this household credit convergence process is the GDP per capita convergence process. Indeed, credit to households and GDP per capita have followed broadly similar tendencies over the last 20 years and it has been shown in the literature that they appear to influence each other. The consistency of this potential convergence process is also confirmed by the breakdown of household credit by type and maturity. There is a tendency towards similar household credit markets in Europe. However, it seems that this potential convergence process was slowed down by the financial crisis. Fortunately, the crisis also stabilised the share of loans in foreign currency in CEE countries. This might add more stability to credit markets in Eastern Europe.