Conexiones y capital social o por qué la información de vacantes no llega a quienes la necesitan
Entre un 50% y un 60% de los trabajadores encuentran empleo con información que proporcionan amigos, familiares o conocidos. En una simulación en red, estudiamos cómo evoluciona el número de trayectorias por las que se transfiere información sobre vacantes cuando se suma un nuevo nodo, teniendo en cuenta su estatus laboral, su capital social y su decisión de ser o no intermediario. El número de esas trayectorias cae con el número de nuevos nodos, y también si son desempleados, tienen bajo capital social o no comparten la información sobre vacantes. Los desempleados se agrupan con sus iguales, y los empleados con los suyos. Por ello, la información sobre vacantes no se transfiere a grupos de desempleados, salvo que estén unidos por vínculos... Ver más
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Diana Marcela Jiménez, Boris Salazar - 2022
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Conexiones y capital social o por qué la información de vacantes no llega a quienes la necesitan Barabási, A. L. y Albert, R. (1999). Emergence of scaling in random networks. Science, 286, 509-512. Bentolila, S., Michelacci, C. y Suarez, J. (2010). Social contacts and occupational choice. Economica, 77(305), 20-45. Borgatti, S. P. y Halgin, D. T. (2012). On network theory. Organization Science, 22(5), 1168-1181. Calvó-A., A. y Jackson, M. (2004). Effects of social networks on employment and unequality. American Economic Review, 94, 424-454. Castillo, M. P., Caicedo, M. I., Franco, A.M. et al. (2022). Barreras invisibles: jóvenes, violencia y pobreza. Cali: Flacso y Editorial Universidad del Valle. Espinoza, V., Rey, R. y Barozet, E. (2021). Effect of social capital on occupational achievement in Uruguay and Chile. Estudios Sociológicos, 39(116), 395-432. Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 78, 1360-1380. Granovetter, M. (1995). Getting a job. A study of contacts and careers [1974]. Chicago: Chicago University Press. Granovetter, M. (2017). Society and economy. Framework and principles. Cambridge, MA: Harvard University Press. Grootaert, C., Narayan, D., Jones, V. N et al. (2004). Measuring social capital. An integrated questionnaire. World Bank working paper No 18. Harris, C. C., Lee, R. M. y Brown, P. (1987). The fate of the redundant in the market. En C. Harris et al. (eds.), Redundancy and Recession in South Wales (cap. 9, pp. 177-194). Oxford: Basil Blackwell. Ioannides, Y. M. y Loury, L. D. (2004). Job information networks, neighborhood effects, and inequality. Journal of Economic Literature 42(4), 1056-1093. Jackson, M. (2021). Inequality economic and social roots: The role of social networks and homophily. Stanford University: Unpublished manuscript. Kossinets, G. y Watts, D. J. (2006). Empirical analysis of an evolving social network. Science, 311(5757), 88-90. Kossinets, G. y Watts, D. J. (2009). Homophily. American Journal of Sociology, 15(2), 405-450. Kramarz, F., y Nordstrom S., O. (2014). When strong ties are strong: Networks and youth labour market entry. The Review of Economic Studies, 81(3), 1164-1200. Kircher, P. A. T. (2020). Search design and online job search – New avenues for applied and experimental research. Labour Economics, 64, 101820, [https://doi.org/10.1016/j.labeco.2020.101820]. Kracke, N., y Klug, C. (2021). Social capital and its effect on labour market (Mis)match: Migrants’ overqualification in Germany. Journal of International Migration and Integration, 22, 1573-1598. Li, X., y Guo, X. (2022). Dynamics of social capital in urban China, 1999 to 2014: An age-period-cohort analysis. Social Networks, 68, 394-406. Marjoribanks, T., Zion, L. y Sherwood, M. (2021). Mobilizing networks after redundancy: The experiences of Australian journalists. New Technology, Work and Employment 36(3), 371-389. Montgomery, J. (1991). Social networks and labor markets outcomes: Toward an economic analysis. American Economic Review, 81(5), 1408-1418. Montgomery, J. (1994). Weak ties, employment, and inequality: An equilibrium analysis. American Journal of Sociology, 99(5), 1212-1236. Munshi, K. (2003). Networks in the modern economy: Mexican migrants in the U.S. labor market. Quarterly Journal of Economics, 118(2), 549-597. Munshi, K. (2011). Strength in numbers: Networks as a solution to poverty traps. Review of Economic Studies, 78(3), 1069-1101. Pallais, A. y Glassberg, E. (2016). Why the referential treatment? Evidence from field experiments on referrals. Journal of Political Economy, 124(6), 1793-1828. Sánchez-A., González, R. et al. (2021). Social capital on social networking sites: A social network perspective. Sustainability, 13(9), 5147, [https://doi.org/10.3390/su13095147]. text/xml Universidad Externado de Colombia https://revistas.uexternado.edu.co/index.php/ecoins/article/view/7959 Español http://creativecommons.org/licenses/by-nc-sa/4.0 Diana Marcela Jiménez, Boris Salazar - 2022 Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0. info:eu-repo/semantics/article application/pdf http://purl.org/coar/resource_type/c_6501 http://purl.org/redcol/resource_type/ARTREF info:eu-repo/semantics/publishedVersion http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Text text/html Revista de Economía Institucional Publication Núm. 47 , Año 2022 : Julio-Diciembre redes, laços fracos, informação trabalhista, capital social, status trabalhista redes, vínculos débiles, información laboral, capital social, estatus laboral D85, J64, J42, J64, C53 24 47 D85, J64, J42, J64, C53 Salazar, Boris Artículo de revista Jiménez, Diana Marcela Entre un 50% y un 60% de los trabajadores encuentran empleo con información que proporcionan amigos, familiares o conocidos. En una simulación en red, estudiamos cómo evoluciona el número de trayectorias por las que se transfiere información sobre vacantes cuando se suma un nuevo nodo, teniendo en cuenta su estatus laboral, su capital social y su decisión de ser o no intermediario. El número de esas trayectorias cae con el número de nuevos nodos, y también si son desempleados, tienen bajo capital social o no comparten la información sobre vacantes. Los desempleados se agrupan con sus iguales, y los empleados con los suyos. Por ello, la información sobre vacantes no se transfiere a grupos de desempleados, salvo que estén unidos por vínculos débiles, cuyo capital social los une con quienes son distintos. Between 50% and 60% of workers find jobs with information provided by friends, relatives, or acquaintances. In a network simulation, we study how the number of trajectories, through which vacancy information is transferred, evolves when a new node is added, taking into account their employment status, their social capital and their decision on whether or not to be an intermediary. The number of such trajectories falls with the number of new nodes, and also if they are unemployed, have low social capital or do not share vacancy information. The unemployed cluster with their peers, and the employed with their peers. Thus, vacancy information is not transferred to unemployed groups whose social capital links them with those who are different, unless they are connected by weak ties. Connections and social capital, or why job vacancy information does not reach those who need it D85, J64, J42, J64, C53 Journal article networks, weak ties, vacancy information, social capital, labor status https://revistas.uexternado.edu.co/index.php/ecoins/article/download/7959/13993 2022-07-01 https://revistas.uexternado.edu.co/index.php/ecoins/article/download/7959/13735 https://revistas.uexternado.edu.co/index.php/ecoins/article/download/7959/11825 115 2022-07-01T14:04:06Z https://doi.org/10.18601/01245996.v24n47.04 10.18601/01245996.v24n47.04 2346-2450 0124-5996 2022-07-01T14:04:06Z 89 |
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| title |
Conexiones y capital social o por qué la información de vacantes no llega a quienes la necesitan |
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Conexiones y capital social o por qué la información de vacantes no llega a quienes la necesitan Salazar, Boris Jiménez, Diana Marcela redes, laços fracos, informação trabalhista, capital social, status trabalhista redes, vínculos débiles, información laboral, capital social, estatus laboral D85, J64, J42, J64, C53 D85, J64, J42, J64, C53 D85, J64, J42, J64, C53 networks, weak ties, vacancy information, social capital, labor status |
| title_short |
Conexiones y capital social o por qué la información de vacantes no llega a quienes la necesitan |
| title_full |
Conexiones y capital social o por qué la información de vacantes no llega a quienes la necesitan |
| title_fullStr |
Conexiones y capital social o por qué la información de vacantes no llega a quienes la necesitan |
| title_full_unstemmed |
Conexiones y capital social o por qué la información de vacantes no llega a quienes la necesitan |
| title_sort |
conexiones y capital social o por qué la información de vacantes no llega a quienes la necesitan |
| title_eng |
Connections and social capital, or why job vacancy information does not reach those who need it |
| description |
Entre un 50% y un 60% de los trabajadores encuentran empleo con información que proporcionan amigos, familiares o conocidos. En una simulación en red, estudiamos cómo evoluciona el número de trayectorias por las que se transfiere información sobre vacantes cuando se suma un nuevo nodo, teniendo en cuenta su estatus laboral, su capital social y su decisión de ser o no intermediario. El número de esas trayectorias cae con el número de nuevos nodos, y también si son desempleados, tienen bajo capital social o no comparten la información sobre vacantes. Los desempleados se agrupan con sus iguales, y los empleados con los suyos. Por ello, la información sobre vacantes no se transfiere a grupos de desempleados, salvo que estén unidos por vínculos débiles, cuyo capital social los une con quienes son distintos.
|
| description_eng |
Between 50% and 60% of workers find jobs with information provided by friends, relatives, or acquaintances. In a network simulation, we study how the number of trajectories, through which vacancy information is transferred, evolves when a new node is added, taking into account their employment status, their social capital and their decision on whether or not to be an intermediary. The number of such trajectories falls with the number of new nodes, and also if they are unemployed, have low social capital or do not share vacancy information. The unemployed cluster with their peers, and the employed with their peers. Thus, vacancy information is not transferred to unemployed groups whose social capital links them with those who are different, unless they are connected by weak ties.
|
| author |
Salazar, Boris Jiménez, Diana Marcela |
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Salazar, Boris Jiménez, Diana Marcela |
| topicspa_str_mv |
redes, laços fracos, informação trabalhista, capital social, status trabalhista redes, vínculos débiles, información laboral, capital social, estatus laboral D85, J64, J42, J64, C53 D85, J64, J42, J64, C53 |
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redes, laços fracos, informação trabalhista, capital social, status trabalhista redes, vínculos débiles, información laboral, capital social, estatus laboral D85, J64, J42, J64, C53 D85, J64, J42, J64, C53 D85, J64, J42, J64, C53 networks, weak ties, vacancy information, social capital, labor status |
| topic_facet |
redes, laços fracos, informação trabalhista, capital social, status trabalhista redes, vínculos débiles, información laboral, capital social, estatus laboral D85, J64, J42, J64, C53 D85, J64, J42, J64, C53 D85, J64, J42, J64, C53 networks, weak ties, vacancy information, social capital, labor status |
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24 |
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47 |
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Núm. 47 , Año 2022 : Julio-Diciembre |
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Universidad Externado de Colombia |
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Revista de Economía Institucional |
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https://revistas.uexternado.edu.co/index.php/ecoins/article/view/7959 |
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Español |
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Article |
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http://creativecommons.org/licenses/by-nc-sa/4.0 Diana Marcela Jiménez, Boris Salazar - 2022 Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0. info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
| references |
Barabási, A. L. y Albert, R. (1999). Emergence of scaling in random networks. Science, 286, 509-512. Bentolila, S., Michelacci, C. y Suarez, J. (2010). Social contacts and occupational choice. Economica, 77(305), 20-45. Borgatti, S. P. y Halgin, D. T. (2012). On network theory. Organization Science, 22(5), 1168-1181. Calvó-A., A. y Jackson, M. (2004). Effects of social networks on employment and unequality. American Economic Review, 94, 424-454. Castillo, M. P., Caicedo, M. I., Franco, A.M. et al. (2022). Barreras invisibles: jóvenes, violencia y pobreza. Cali: Flacso y Editorial Universidad del Valle. Espinoza, V., Rey, R. y Barozet, E. (2021). Effect of social capital on occupational achievement in Uruguay and Chile. Estudios Sociológicos, 39(116), 395-432. Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 78, 1360-1380. Granovetter, M. (1995). Getting a job. A study of contacts and careers [1974]. Chicago: Chicago University Press. Granovetter, M. (2017). Society and economy. Framework and principles. Cambridge, MA: Harvard University Press. Grootaert, C., Narayan, D., Jones, V. N et al. (2004). Measuring social capital. An integrated questionnaire. World Bank working paper No 18. Harris, C. C., Lee, R. M. y Brown, P. (1987). The fate of the redundant in the market. En C. Harris et al. (eds.), Redundancy and Recession in South Wales (cap. 9, pp. 177-194). Oxford: Basil Blackwell. Ioannides, Y. M. y Loury, L. D. (2004). Job information networks, neighborhood effects, and inequality. Journal of Economic Literature 42(4), 1056-1093. Jackson, M. (2021). Inequality economic and social roots: The role of social networks and homophily. Stanford University: Unpublished manuscript. Kossinets, G. y Watts, D. J. (2006). Empirical analysis of an evolving social network. Science, 311(5757), 88-90. Kossinets, G. y Watts, D. J. (2009). Homophily. American Journal of Sociology, 15(2), 405-450. Kramarz, F., y Nordstrom S., O. (2014). When strong ties are strong: Networks and youth labour market entry. The Review of Economic Studies, 81(3), 1164-1200. Kircher, P. A. T. (2020). Search design and online job search – New avenues for applied and experimental research. Labour Economics, 64, 101820, [https://doi.org/10.1016/j.labeco.2020.101820]. Kracke, N., y Klug, C. (2021). Social capital and its effect on labour market (Mis)match: Migrants’ overqualification in Germany. Journal of International Migration and Integration, 22, 1573-1598. Li, X., y Guo, X. (2022). Dynamics of social capital in urban China, 1999 to 2014: An age-period-cohort analysis. Social Networks, 68, 394-406. Marjoribanks, T., Zion, L. y Sherwood, M. (2021). Mobilizing networks after redundancy: The experiences of Australian journalists. New Technology, Work and Employment 36(3), 371-389. Montgomery, J. (1991). Social networks and labor markets outcomes: Toward an economic analysis. American Economic Review, 81(5), 1408-1418. Montgomery, J. (1994). Weak ties, employment, and inequality: An equilibrium analysis. American Journal of Sociology, 99(5), 1212-1236. Munshi, K. (2003). Networks in the modern economy: Mexican migrants in the U.S. labor market. Quarterly Journal of Economics, 118(2), 549-597. Munshi, K. (2011). Strength in numbers: Networks as a solution to poverty traps. Review of Economic Studies, 78(3), 1069-1101. Pallais, A. y Glassberg, E. (2016). Why the referential treatment? Evidence from field experiments on referrals. Journal of Political Economy, 124(6), 1793-1828. Sánchez-A., González, R. et al. (2021). Social capital on social networking sites: A social network perspective. Sustainability, 13(9), 5147, [https://doi.org/10.3390/su13095147]. |
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