Modelling foreign labour inflows using a dynamic microsimulation model of an ageing country - Slovakia
- Institute of Economic Research Slovak Academy of Sciences, Slovakia
Cite this article
as: M. Štefánik, T. Miklošovič; 2020; Modelling foreign labour inflows using a dynamic microsimulation model of an ageing country - Slovakia; International Journal of Microsimulation; 13(2); 102-113.
doi: 10.34196/ijm.00220
Figures
Scheme 1
Structure of SLAMM in modules
Figure 1
Expected annual change in total employment.
Figure 2
Predicted development of the dependency ratio, in scenarios.
Figure 3
Predicted annual inflow of employed persons born out of the country, in scenarios.
Figure 4
The annual number of workers in need of replacement in scenarios.
Figure 5
Stock of employed persons born out of the country, by educational level.
Tables
Table 1
Variables used in the SLAMM model.
| Variable | Values |
|---|---|
| Gender | MaleFemale |
| Age | In years |
| Highest level of education achieved | Primary Lower secondary Upper secondary Post-secondary Tertiary |
| Field of highest education achieved | 10 fields (based on ISCED-F 2013) |
| Economic status in the current period | Employed Unemployed Student Retired Disabled Inactive |
| Economic status one year ago | |
| Economic sector of employment in the current period | 18 sectors (based on NACE 2.0) |
| Economic sector of employment one year ago | |
| Occupational group | 3 groups* (based on ISCO 08 skill levels) (ISCO1-3; ISCO 4-8; ISCO 9) |
| Occupational group one year ago | |
| Country of birth | Native EU Non-EU |
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Source: Model SLAMM.
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*
Corresponding to the skill levels of the ISCO classification allows constructing indicators of skills mismatch (ILO, 2012, p. 12).
Data and code availability
Data and code has been provided to the journal and is available upon request.
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