The role of occupational polarization in the face of the labor risk of automation in the Mexican economy

• Autores: Reyna Elizabeth Rodríguez Pérez, Karina Jazmín García Bermúdez
• Localización: Technological change and labor markets: productivity, job polarization, and Inequality / Reyna Elizabeth Rodríguez Pérez (ed. lit.), Liliana Meza González (ed. lit.), 2024, ISBN 978-1-032-48624-6, págs. 181-199
• Idioma: inglés
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• Resumen

  • The objective of this chapter is to determine the probability of participating in non-routine and routine cognitive and manual tasks according to the personal and occupational characteristics of workers. The hypothesis is based on testing whether in Mexico there is a higher probability of being in occupations with higher automation because the labor market could be polarizing due to task-based technological change. To test the hypothesis, four probability models are used, taking as the dependent variable whether a worker participates in each of the occupations defined by task, depending on the level of education, age, and economic branch, with information from the third quarter of 2012 and the first quarter of 2020. The most relevant results for both years show that total employment in the country is concentrated in non-routine cognitive and manual tasks, with more than 71%, which implies a lower risk of automation.