| Autor institucional : | CEPAL - División de Desarrollo Social |
| Autor/Autores: | Ernesto Espíndola y José Suárez |
| Fecha de publicación: | 2024-03-15 |
| Alcance geográfico: | Latinoamericano |
| Publicado en: | Chile |
| Descargar: | Descargar PDF |
| Resumen: | This paper seeks to estimate job automation's probabilities and risks and analyse its potential impacts on labour inclusion in Latin America. To this end, this document implemented a machine learning-based methodology adapted to the specific characteristics of the region using data from PIAAC surveys and household surveys. In this way, the aim is to build a probability vector of job automation adapted to the region. This vector can be reused in any source of information that contains internationally comparable occupational codes, such as household surveys or employment surveys. |
