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"The linked employer-employee dataset of the IAB (LIAB) is created by matching the data of the IAB establishment panel and the process-produced data of the Federal Employment Services (in particular the IAB). The distinctive feature of these data is the combination of information about individuals and details concerning the firms in which these people work. This facilitates a number of new methods of analysis and the first empirical examination of theoretical concepts. This applies not only to economic questions but for all areas of empirical social research. Studies have so far been conducted on subjects in labour economics, personnel economics and sociology. Some versions of the LIAB are accessible via the research data centre (Forschungsdatenzentrum - FDZ) of the Federal Employment Services (Bundesagentur für Arbeit - BA) at the IAB." (author's abstract)

This article analyzes wage dispersion in a sample of Italian firms, by taking advantage of a unique Linked Employer-Employee dataset (LEED) merging four data sources from the National Institute of Statistics. An in-depth descriptive analysis conveys that knowledge-intensive services record the highest within- and between-firms wage dispersion in the sample. Regression-based results show that innovation does not drive up inequality in large companies. However, it can contribute to enlarge the within-firm wage dispersion as well as the wage gap across small firms.

Die Linked-Employer-Employee-Daten des IAB (LIAB) kombinieren die Interviews des IAB-Betriebspanels mit den zugehörigen Betriebs- und Personendaten aus den Prozessen der Bundesagentur für Arbeit. Letztere umfassen einerseits die administrativen Betriebsinformationen aus dem Betriebs-Historik-Panel (BHP) und andererseits die Erwerbsbiographien der in den interviewten Betrieben beschäftigten Personen. Die LIAB Daten ermöglichen somit eine simultane Analyse der Angebots- und Nachfrageseite des Arbeitsmarktes.

Die Linked-Employer-Employee-Daten des IAB (LIAB) kombinieren die Interviews des IAB-Betriebspanels mit den zugehörigen Betriebs- und Personendaten aus den Prozessen der Bundesagentur für Arbeit. Letztere umfassen einerseits die administrativen Betriebsinformationen aus dem Betriebs-Historik-Panel (BHP) und andererseits die Erwerbsbiographien der in den interviewten Betrieben beschäftigten Personen. Die LIAB Daten ermöglichen somit eine simultane Analyse der Angebots- und Nachfrageseite des Arbeitsmarktes.

The Tajikistan Household Panel Survey (THPS) data were collected in the framework of the research project "Migration and Remittances in Central Asia: The Case of Kazakhstan and Tajikistan", which was funded by the Volkswagen Foundation in 2009-2013. The THPS 2011 was initiated by the Institute for East- and Southeast European Studies Regensburg, Germany, to explore migration and remittances in Tajikistan. The study was implemented in cooperation with the SHARQ Research Center in Dushanbe, Tajikistan. The THPS 2011 was based on the Tajikistan Living Standards Measurement Survey (TLSS) administered by the World Bank and UNICEF in 2007 (wave 1) and 2009 (wave 2). These data generate a unique panel data base on migration and remittances in a developing country.