Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Santos, M., Sequeira, T. N. & Ferreira-Lopes, A. (2017). Income inequality and technological adoption. Journal of Economic Issues. 51 (4), 979-1000
Exportar Referência (IEEE) 
M. Santos et al.,  "Income inequality and technological adoption", in Journal of Economic Issues, vol. 51, no. 4, pp. 979-1000, 2017
Exportar BibTeX 
@article{santos2017_1714126914638,
	author = "Santos, M. and Sequeira, T. N. and Ferreira-Lopes, A.",
	title = "Income inequality and technological adoption",
	journal = "Journal of Economic Issues",
	year = "2017",
	volume = "51",
	number = "4",
	doi = "10.1080/00213624.2017.1391582",
	pages = "979-1000",
	url = "https://www.tandfonline.com/doi/full/10.1080/00213624.2017.1391582"
}
Exportar RIS 
TY  - JOUR
TI  - Income inequality and technological adoption
T2  - Journal of Economic Issues
VL  - 51
IS  - 4
AU  - Santos, M.
AU  - Sequeira, T. N.
AU  - Ferreira-Lopes, A.
PY  - 2017
SP  - 979-1000
SN  - 0021-3624
DO  - 10.1080/00213624.2017.1391582
UR  - https://www.tandfonline.com/doi/full/10.1080/00213624.2017.1391582
AB  - We relate technological adoption (of different technologies) with income inequality. In the process, we discover that some technologies, such as aviation, cell phones, electric production, internet, telephone, and TV, are skill-complementary in raising inequality. We construct standardized indexes of skill-complementary technological adoption for modern information and communication technologies (ICT), older ICT, production and transport technologies. We find strong evidence that older ICT and transport technologies (and less frequently modern ICT) tend to increase inequality. Additionally, we discover that results are much stronger in rich countries than in poor ones. Our results are quite robust to a series of changes in specifications, estimators, samples, and measurement of technology adoption. These results may bring insights into the design of incentive schemes for technology adoption.
ER  -