Determinants of labour productivity in Mexico : an approach from the endogenous growth theory using artificial neural networks
Héctor Eduardo Díaz Rodríguez and Fidel Aroche Reyes
| Year of publication: |
2020
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|---|---|
| Authors: | Díaz Rodríguez, Héctor Eduardo ; Aroche Reyes, Fidel |
| Published in: |
CEPAL review. - New York, NY : Comm., ISSN 0251-2920, ZDB-ID 84936-4. - 2020, 130, p. 149-166
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| Subject: | Employment | labour | labour productivity | innovations | information technology | communication technology | computer networks | Mexico | Mexiko | Arbeitsproduktivität | Labour productivity | Informationstechnik | Information technology | Neuronale Netze | Neural networks | Endogenes Wachstumsmodell | Endogenous growth model | Innovation | Technischer Fortschritt | Technological change |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012586357