LISA: Swedish longitudinal population register (restricted access)
LISA (the longitudinal integrated database for health insurance and labor-market studies) is Statistics Sweden’s register linking every resident aged 16 and over across years (the lower bound was later extended to include 15-year-olds), with annual records on employment, wages, unemployment, transfers, family structure, and education. Combined with the Wealth Register (accessed under the same terms, covering 1999 to 2007, when the wealth tax was abolished), it supports population-wide labor and household-finance research. A paper we distill uses it: Olsson & Tag use LISA for individual-level wages, unemployment, transfers, family structure, education, and wealth for all Swedish residents (the paper states aged 15 and over), 1990 to 2017, alongside the firm-level FEK statistics.
- Cost: not for sale. Restricted administrative microdata.
- Producer: Statistics Sweden (SCB).
- Coverage: the full resident population on an annual panel, with linkable individual, family, firm, and establishment identifiers; the Wealth Register component ends in 2007.
Access (restricted)
Section titled “Access (restricted)”- Through SCB’s secure remote environment (MONA). Approved researchers access pseudonymized extracts remotely; the microdata does not leave SCB, and outputs are checked before release.
- Project and ethics approval required. Access requires an approved research project and a Swedish ethics review; data is delivered as a project-specific extract, not an open download.
- SCB publishes documentation of the LISA and Wealth Register variables, so the schema can be read even though the data cannot be pulled.
Gotchas (the ones that bite pipelines)
Section titled “Gotchas (the ones that bite pipelines)”These are the failure modes to expect; they are documented, not verified here.
- The Wealth Register ends in 2007. Sweden abolished the wealth tax effective 2007, so the register covers 1999 to 2007 and individual wealth, risky assets, and debt are not available afterward; any later wealth analysis must use a different source or stop there. Do not extrapolate wealth past the register’s end, and mind the income-year versus file-year distinction when pinning the last usable year.
- Pseudonymized linkage keys, project-specific. Individual and firm keys are pseudonyms created per delivery; you cannot merge across separately delivered extracts, and keys are not comparable to other projects. Plan all links inside one delivery.
- Annual snapshots miss within-year dynamics. LISA records an annual position (often a reference week or year-end); job changes and spells within the year are coarsened. Match your timing to the annual structure.
- Variable definitions and the population frame change. Income, employment, and education concepts have been revised, and the lower age cutoff and frame have changed over time; a long panel is not perfectly consistent. Read the documentation for your years.
- Firm/establishment links need the right registers. Linking individuals to employers requires the establishment identifier and the matched registers; joining to FEK firm data must respect the firm-versus-establishment distinction.
- Output is disclosure-reviewed and cannot be redistributed. Results leave the secure environment only after review, and the microdata itself cannot be shared.
Citation
Section titled “Citation”Cite the producer and access route, e.g.: LISA and the Wealth Register (Statistics Sweden), accessed via MONA under approved project, YYYY-MM-DD. State the years, the population frame, and whether the Wealth Register (through 2007) was used.