يعرض 1 - 20 نتائج من 742 نتيجة بحث عن '"Modelo lineal"', وقت الاستعلام: 0.55s تنقيح النتائج
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    Dissertation/ Thesis

    المؤلفون: Jiménez López, Rafael

    المساهمون: University/Department: Universitat de les Illes Balears. Departament de Psicologia

    Thesis Advisors: Palmer Pol, Alfonso Luis, Losilla Vidal, Josep Maria

    المصدر: TDX (Tesis Doctorals en Xarxa)

    Time: 159.9

    وصف الملف: application/pdf

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    Dissertation/ Thesis

    المؤلفون: Torrent Burgués, Marcel

    المساهمون: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica

    Thesis Advisors: Andrada Gascón, Pere

    المصدر: TDX (Tesis Doctorals en Xarxa)

    Time: 621.3

    وصف الملف: application/pdf

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    المصدر: Revista Facultad de Ciencias Económicas; Vol. 31 No. 2 (2023); 159-172 ; Revista Facultad de Ciencias Económicas; Vol. 31 Núm. 2 (2023); 159-172 ; Revista Facultad de Ciencias Económicas; v. 31 n. 2 (2023); 159-172 ; 1909-7719 ; 0121-6805

    وصف الملف: application/pdf; text/xml

    Relation: https://revistas.unimilitar.edu.co/index.php/rfce/article/view/6723/5705; https://revistas.unimilitar.edu.co/index.php/rfce/article/view/6723/5929; Acemoglu, D. and Autor, D. (2011). Skills, tasks and technologies: Implications for employment and earnings. Handbook of Labor Economics, 4: 1043-1171. https://doi.org/10.1016/S0169-7218(11)02410-5; Acemoglu, D., and Restrepo, P. (2018). The race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment. American Economic Review 108 (6). pp. 1488-1542.https://doi.org/10.1257/aer.20160696; Acemoglu, D., and Restrepo, P. (2019). Automation and new tasks: how technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3-30. DOI: https://doi.org/10.1257/jep.33.2.3; Acemoglu, D., and Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of political economy, 128(6), 2188-2244. https://doi.org/10.1086/705716; Aghion, P., Jones, B. and Jones, C. (2017). Artificial Intelligence and Economic Growth. NBER Working Paper, 23928, National Bureau of Economic Research.https://doi.org/10.3386/w23928; Aghion, P., Antonin, C., Bunel, S., and Jaravel, X. (2020). What are the labor and product market effects of automation? New evidence from France. From: https://sciencespo.hal.science/hal-03403062/file/2020-aghion-what-are-the-labor-and-product-market-effects-of-automation.pdf; Arntz, M., Gregory, T., and Zierahn, U. (2016). The risk of automation for jobs in OECD countries. DOI:https://doi.org/10.1787/5jlz9h56dvq7-en; Autor, D., and Dorn, D. (2013). The growth of low skill service jobs and the polarization of the US labor market. American Economic Review 103 (5). pp. 1553-1597. DOI:10.1257/aer.103.5.1553; Autor, D., Levy, F., and Murnane, R.J. (2003). The skill content of recent technological change: an empirical exploration. Quarterly Journal of Economics. 118 (4), pp. 1279-1333. DOI: https://doi.org/10.1162/003355303322552801; Brambilla, I., César, A., Falcone, G., Gasparini, L., and Lombardo, C. (2021). The risk of automation in Latin America (No. 281). https://www.econstor.eu/handle/10419/250370; Boustan, L. P., Choi, J., and Clingingsmith, D. (2022). Automation after the assembly line: Computerized machine tools, employment and productivity in the United States (No. w30400). National Bureau of Economic Research.https://doi.org/10.3386/w30400; Chang, J. H., and Huynh, P. (2016). ASEAN in transformation the future of jobs at risk of automation (No. 994906463402676). International Labour Organization. From: https://www.ilo.org/wcmsp5/groups/public/---ed_dialogue/---act_emp/documents/publication/wcms_579554.pdf; DANE. (2019). Microdatos Gran Encuesta Integrada de Hogares GEIH. From: https://microdatos.dane.gov.co//catalog/599/get_microdata; Doménech, R., García, J. R., Montañez, M., and Neut, A. (2018). Afectados por la revolución digital: el caso de España. Papeles de Economía Española, (156), 128-145. From: https://dialnet.unirioja.es/servlet/articulo?codigo=6519001; Eckardt, M. S. (2022). Minimum wages in an automating economy. Journal of Public Economic Theory, 24(1), 58-91.https://doi.org/10.1111/jpet.12528; Gravina, A. F., and Pappalardo, M. R. (2022). Are robots in rich countries a threat for employment in emerging economies? Economics Letters, 221, 110888. https://doi.org/10.1016/j.econlet.2022.110888; Frey, C. B., and Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerization? Technological forecasting and social change, 114, 254-280. DOI: https://doi.org/10.1016/j.techfore.2016.08.019; Hawksworth, J., Audino, H., and Clarry, R. (2017). The Long View: How will the global economic order change by 2050. London, UK: PWC. From: https://www.pwc.com/gx/en/world-2050/assets/pwc-the-world-in-2050-full-report-feb-2017.pdf; Ing, L. Y., and Zhang, R. (2022). Automation in Indonesia: Productivity, Quality, and Employment. In Robots and AI (pp. 275-309)https://doi.org/10.4324/9781003275534-9; Katz, R., Callorda, F., and Jung, J. (2023). The impact of automation on employment and its social implications: evidence from Chile. Economics of Innovation and New Technology, 32(5), 646-662. https://doi.org/10.1080/10438599.2021.1991798; Li, J., An, Z., and Wang, Y. (2023). On the Substitution and Complementarity between Robots and Labor: Evidence from Advanced and Emerging Economies. Sustainability, 15(12), 9790. https://doi.org/10.3390/su15129790; Lima, Y., Strauch, J. C. M., Esteves, M. G. P., de Souza, J. M., Chaves, M. B., and Gomes, D. T. (2021). Exploring the future impact of automation in Brazil. Employee Relations: The International Journal, 43(5), 1052-1066.https://doi.org/10.1108/ER-08-2020-0364; Lorenz, H., Stephany, F., and Kluge, J. (2023). The future of employment revisited: how model selection affects digitization risks. Empirica, 50(2), 323-350. https://doi.org/10.1007/s10663-023-09571-2; Minian, I., and Martínez, Á. (2018). El impacto de las nuevas tecnologías en el empleo en México. Revista problemas del desarrollo, 49 (195), 27-53. DOI: https://doi.org/10.22201/iiec.20078951e.2018.195.64001; Papke, L. E., and Wooldridge, J. M. (1996). Econometric methods for fractional response variables with an application to 401 (k) plan participation rates. Journal of applied econometrics, 11(6), 619-632. https://doi.org/10.1002/(SICI)1099-1255(199611)11:63.0.CO;2-1; Santos, I., Monroy-Taborda, S. and Moreno, M. (2015) Technological change and labor market disruptions: evidence from developing world. Background paper for the World Development Report 2016. From: https://conference.iza.org/conference_files/worldb2015/monroy-taborda_s22138.pdf; https://revistas.unimilitar.edu.co/index.php/rfce/article/view/6723

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