Bibtex export
@book{ Borst2018, title = {EU-SILC Tools: eusilcpanel - first computational steps towards a cumulative sample based on the EU-SILC longitudinal datasets}, author = {Borst, Marwin}, year = {2018}, series = {GESIS Papers}, pages = {20}, volume = {2018/11}, address = {Köln}, publisher = {GESIS - Leibniz-Institut für Sozialwissenschaften}, issn = {2364-3781}, doi = {https://doi.org/10.21241/ssoar.57347}, urn = {https://nbn-resolving.org/urn:nbn:de:0168-ssoar-57347-2}, abstract = {The European Union Statistics on Income and Living Conditions (EU-SILC) covers a wide array of varia-bles collected from households by the Member States. Among others, EU-SILC contains panel data that follows a rotational design. Each year, Eurostat publishes a series of separate datasets covering only up to 4 years, even though it has been collecting data since 2003. "eusilcpanel" is a script (download: https://www.gesis.org/gml/european-microdata/eu-silc/) in the form of a Stata package (eusilcpan-el.ado; eusilcpanel.sthlp; totalpopulation.dta), that is able to merge these chunks of data into one cumulative dataset (separately for the D-, H-, R- and P-data). The script makes the EU-SILC panel more accessible to researchers in the vast majority of cases, but it can’t deal with data from all countries.}, keywords = {EU; Datengewinnung; income; panel; data preparation; comparison; Lebensbedingungen; Einkommen; Panel; living conditions; data capture; Vergleich; Datenaufbereitung; EU}}