Skip to content

SunnyX9/2024-UNpredictabilityOfEarlyUNemployment

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 

Repository files navigation

2024-UNPredictabilityOfEarlyUNemployment

Introduction

This repository contains the Python code used in the analysis of the research article Kuikka, Sanni. 2024. "The (Un)Predictability of Early (Un)Employment: A Machine Learning Approach." Socius:x-x. doi: xxxxxxxx The DOI for this repository through Zenodo is https://doi.org/10.5281/zenodo.13898013

Dependencies

The analysis was carried out in Python version 3.11, using the Scikit-learn package.

Contact Information

sanni.kuikka@sociology.su.se

Acknowledgments

This research article is done in affiliation with the project "Understanding Society through Register Based Machine Learning" with PI Maria Brandén, at the Institute for Analytical Sociology, Linköping University, generously funded by the Swedish Research Council Dnr. 2019-00245. The data for the analysis is provided by The Finnish Institute for Health and Welfare, through the project "Kansallinen syntymäkohortti 1987". Metadata visualization available at https://fbc-studies.github.io/meta-visu/?lang=en&ds=finnish-birth-cohorts. The data cannot be shared publicly due to it containing sensitive individual level data.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Packages

No packages published