Mobilitetsmodellen: machine-learning estimators of intergenerational mobility in Sweden
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2026
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| _version_ | 1866901675391844352 |
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| author | Laitinen-Fredriksson Lundstrom Imanov, Gustav Olaf Yunus |
| author_facet | Laitinen-Fredriksson Lundstrom Imanov, Gustav Olaf Yunus |
| contents | Mobilitetsmodellen provides production-grade Python estimators for intergenerational income and rank mobility in Sweden. The framework combines classical rank-rank regressions, intergenerational income elasticities, and transition-matrix estimators with double machine learning (DoubleML) and generalised random forests under cross-fitting. Empirical-Bayes shrinkage stabilises municipality-level estimates to support an interactive mobility atlas. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20151412 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Mobilitetsmodellen: machine-learning estimators of intergenerational mobility in Sweden Laitinen-Fredriksson Lundstrom Imanov, Gustav Olaf Yunus intergenerational mobility Sweden rank-rank slope intergenerational income elasticity double machine learning causal forests empirical Bayes municipality EUPL-1.2 OSOR FAIR4RS research software Swedish economy Mobilitetsmodellen provides production-grade Python estimators for intergenerational income and rank mobility in Sweden. The framework combines classical rank-rank regressions, intergenerational income elasticities, and transition-matrix estimators with double machine learning (DoubleML) and generalised random forests under cross-fitting. Empirical-Bayes shrinkage stabilises municipality-level estimates to support an interactive mobility atlas. |
| title | Mobilitetsmodellen: machine-learning estimators of intergenerational mobility in Sweden |
| topic | intergenerational mobility Sweden rank-rank slope intergenerational income elasticity double machine learning causal forests empirical Bayes municipality EUPL-1.2 OSOR FAIR4RS research software Swedish economy |
| url | https://doi.org/10.5281/zenodo.20151412 |