يعرض 1 - 20 نتائج من 1,136 نتيجة بحث عن '"Alonso Cifuentes, Julio Cesar"', وقت الاستعلام: 0.62s تنقيح النتائج
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    Academic Journal

    المصدر: Revista Finanzas y Política Económica; Vol. 16 No. 2 (2024); 401-439 ; Revista Finanzas y Política Económica; Vol. 16 Núm. 2 (2024); 401-439 ; Revista Finanzas y Política Económica; v. 16 n. 2 (2024); 401-439 ; 2011-7663 ; 2248-6046

    وصف الملف: application/pdf

    Relation: https://revfinypolecon.ucatolica.edu.co/article/view/5774/5382; Acemoglu, D., Carvalho, V., Ozdaglar, A., & Tahbaz-Salehi, A. (2012). The Network Origins of Aggregate Fluctuations. Econometrica, 80(5), 1977–2016. https://doi.org/10.3982/ECTA9623 . .; Alonso, J., & Carabali, J. A. (2019). Breve tutorial para visualizar y calcular métricas de redes (grafos) en R (para Económistas). Universidad Icesi.; Araújo, T., & Faustino, R. (2017). The topology of inter-industry relations from the Portuguese national accounts. Physica A: Statistical Mechanics and its Applications, 479, 236-248. https://doi.org/10.1016/j.physa.2017.03.018; Aroche-Reyes, F. (2003). A qualitative input-output method to find basic economic structures. Papers in Regional Science, 82, 581-590. https://doi.org/10.1007/S10110-003-0149-Z.; Barro, R. J., & Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2), 223-251. https://doi.org/10.1086/261816; Batool, F., & Hennig, C. (2021). Clustering with the Average Silhouette Width. Computational Statistics & Data Analysis, 158, 107190. https://doi.org/10.1016/j.csda.2021.107190; Battiston, S., Rodrigues, J., & Zeytinoglu, H. (2005). The network of inter-regional direct investment stocks across Europe. Advances in Complex Systems, 10, 29-51. https://doi.org/10.1142/S0219525907000933; Baumol, W. (2000a). What Marshall didn't know: On the twentieth century's contributions to economics. The Quarterly Journal of Economics, 115(Issue 1), 1-44, https://doi.org/10.1162/003355300554656; Baumol, W. (2000b). Leontief’s great leap forward: Beyond Quesnay, Marx and von Bortkiewicz. Economic Systems Research, 12(2), 141-152. https://doi.org/10.1080/09535310050005662; Beaton, M. K., Cebotari, A., Ding, X., & Komaromi, A. (2017). Trade integration in Latin America: A network perspective. IMF Working Papers. https://doi.org/10.2139/ssrn.3014078; Beygelzimer A, Kakadet S, Langford J, Arya S, Mount D, & Li S (2024). _FNN: Fast Nearest Neighbor Search Algorithms and Applications_. R package version 1.1.4, https://CRAN.R-project.org/package=FNN.; Blöchl, F., Theis, F., Vega-Redondo, F., & Fisher, E. (2011). Vertex centralities blancBlanco, G. (2017). Índice de complejidad económica para los departamentos de Colombia, evolución 2012 – 2015. Working paper Facultad de Ciencias Económicas; Universidad de Colombia: Bogotá, Colombia, https://repositorio.unal.edu.co/bitstream/handle/unal/63203/1015428688.2017.pdf?sequence=1; Brandes, U., Delling, D., Gaertler, M., Gorke, R., Hoefer, M., Nikoloski, Z., & Wagner, D. (2008). On modularity clustering. IEEE Transactions on Knowledge and Data Engineering, 20(2), 172-188. https://doi.org/10.1109/TKDE.2007.190689; Charrad, M., Ghazzali, N, Boiteau, V., & Niknafs A. (2014). NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set. Journal of Statistical Software, 61(6), 1-36. URL http://www.jstatsoft.org/v61/i06/; Clemente, G., & Cornaro, A. (2019). A novel measure of edge and vertex centrality for assessing robustness in complex networks. Soft Computing, 24, 13687-13704. https://doi.org/10.1007/s00500-019-04470-w; Contreras, M. G. A., & Fagiolo, G. (2014). Propagation of economic shocks in input-output networks: A cross-country analysis. Physical Review E, 90(6), 062812. https://doi.org/10.1103/PhysRevE.90.062812; Csardi, G., & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal, Complex Systems, 1695. https://igraph.org; DANE (2013). Metodología de la matriz insumo-producto (MIP). https://www.dane.gov.co/files/investigaciones/pib/especiales/metodologia_matriz_insumo_producto_07_13.pdf; DANE. (2020). Revisión 4 Adaptada para Colombia CIIU Rev. 4 A.C. (2020). https://www.dane.gov.co/files/sen/nomenclatura/ciiu/CIIU_Rev_4_AC2020.pdf; DePaolis, F., Murphy, P., & De Paolis M. C. (2022). Identifying key sectors in the regional economy: A network analysis approach using input-output data. Research Square. https://doi.org/10.21203/rs.3.rs-1666449/v1; Ding, J., & Lu, Y. (2015). Control backbone: An index for quantifying a node's importance for the network controllability. Neurocomputing, 153, 309-318. https://doi.org/10.1016/j.neucom.2014.11.024; Domínguez, A., Santos-Marquez, F., & Mendez, C. (2021). Sectoral productivity convergence, input-output structure and network communities in Japan. Structural Change and Economic Dynamics, 59, 582-599. https://doi.org/10.1016/j.strueco.2021.10.012; Dotta, V. (2021). Propagación de shocks económicos a través de redes insumo-producto : una aplicación para los países de América del Sur. Tesis de maestría. Universidad de la República (Uruguay). Facultad de Ciencias Económicas y de Administración. https://hdl.handle.net/20.500.12008/31136; Drejer, I. (2000). Comparing patterns of industrial interdependence in national systems of innovation - A study of Germany, the United Kingdom, Japan and the United States. Economic Systems Research, 12, 377-399. https://doi.org/10.1080/09535310050120943; Fagiolo, G., Reyes, J., & Schiavo, S. (2008). On the topological properties of the world trade web: A weighted network analysis. Physica A: Statistical Mechanics and its Applications, 387(15), 3868-3873. https://doi.org/10.1016/j.physa.2008.01.050; Galili, T (2015). dendextend: an R package for visualizing, adjusting, and comparing trees of hierarchical clustering. Bioinformatics. DOI:10.1093/bioinformatics/btv428; García, A., Morillas, A., & Ramos, C. (2008). Key sectors: A new proposal from network theory. Regional Studies, 42(7), 1013-1030. https://doi.org/10.1080/00343400701654152; Giuliani, E. (2013). Network dynamics in regional clusters: Evidence from Chile. Research Policy, 42, 1406-1419. https://doi.org/10.1016/J.RESPOL.2013.04.002; Graham, B., & De Paula, A. (2020). The econometric analysis of network data. Academic Press. https://doi.org/10.1920/wp.cem.2020.420; Granovetter, M. (1978). Threshold models of collective behavior. American Journal of Sociology, 83(6), 1420-1443. https://doi.org/10.1086/226707; Ghosh, S., & Roy, J. (1998). Qualitative Input–Output Analysis of the Indian Economic Structure. Economic Systems Research, 10(3), 263–274. https://doi.org/10.1080/762947111; Guo, J., & Planting, M. A. (2000). Using input-output analysis to measure US economic structural change over a 24 year period. BEA Papers 0004, Bureau of Economic Analysis. https://www.bea.gov/system/files/papers/WP2000-1.pdf; Hausmann, R., & Hidalgo, C. A. (2011). The network structure of economic output. Journal of Economic Growth, 16, 309-342. https://doi.org/10.1007/s10887-011-9071-4; Hewings, G. J. D. (1982). The Empirical Identification of Key Sectors in an Economy: A Regional Perspective. The Developing Economies, 20(2), 173–195. https://doi.org/10.1111/j.1746-1049.1982.tb00444.x; Hidalgo, C. A., & Hausmann, R. (2010). Inferring macroeconomic complexity from country-product network data. AAAI Spring Symposium: Artificial Intelligence for Development. https://cdn.aaai.org/ocs/1183/1183-5889-1-PB.pdf; Hidalgo, C. A., Klinger, B., Barabási, A. L., & Hausmann, R. (2007). The product space conditions the development of nations. Science, 317(5837), 482-487. https://doi.org/10.1126/science.1144581; Hirschman, A. O. (1958). The Strategy of Economic Development. Yale University Press.; Holub, H., & Schnabl, H. (1985). Qualitative input-output analysis and structural information. Economic Modelling, 2, 67-73. https://doi.org/10.1016/0264-9993(85)90010-0; https://doi.org/10.1017/CBO9780511626982; Iori, G., Masi, G., Precup, O., Gabbi, G., & Caldarelli, G. (2008). A network analysis of the Italian overnight money market. Journal of Economic Dynamics and Control. https://doi.org/10.1016/J.JEDC.2007.01.032; Jankowska, A., Nagengast, A., & Perea, J. (2012). The product space and the middle-income trap: Comparing Asian and Latin American experiences. OECD Development Centre Working Papers, (311), OECD Publishing. https://doi.org/10.1787/5k9909j2587g-en; Jorgenson, D. W. (2016). Econometric general equilibrium modeling. Journal of Policy Modeling, 38(3), 436-447. https://doi.org/10.1016/j.jpolmod.2016.02.004; König, M., Battiston, S., Napoletano, M., & Schweitzer, F. (2008). On algebraic graph theory and the dynamics of innovation networks. Networks and Heterogeneous Media. https://doi.org/10.3934/NHM.2008.3.201; Laumas, P. S. (1975). Key sectors in some underdeveloped countries. Kyklos, 28(1). https://doi.org/10.1111/j.1467-6435.1975.tb01934.x; An, W. & Liu, Y (2023). _keyplayer: Locating Key Players in Social Networks_. R package version 1.0.4, https://CRAN.R-project.org/package=keyplayer; Lora, E. (2021). Forecasting formal employment in cities. Revista de Economía del Rosario, 24(1), 1-38. https://doi.org/10.12804/revistas.urosario.edu.co/economia/a.10029; Lora, E., & Prada, S. I. (2023). Técnicas de medición económica: metodología y aplicaciones en Colombia (6.ª ed.). Editorial Universidad Icesi. https://doi.org/10.18046/EUI/tme.6; Lorenz, J., Battiston, S., & Schweitzer, F. (2009). Systemic risk in a unifying framework for cascading processes on networks. The European Physical Journal B, 71, 441-460. https://doi.org/10.1140/epjb/e2009-00347-4; Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M., Hornik, K.(2022). cluster: Cluster Analysis Basics and Extensions. R package version 2.1.5. https://CRAN.R-project.org/package=cluster; McNerney, J., Fath, B. D., & Silverberg, G. (2013). Network structure of inter-industry flows. Physica A: Statistical Mechanics and its Applications, 392(24), 6427-6441. https://doi.org/10.1016/j.physa.2013.07.063; Miller, R. E., & Blair, P. D. (2009). Input-output analysis: Foundations and extensions (2nd ed.). Cambridge University Press.; Montresor, S., & Marzetti, G. V. (2009). Applying social network analysis to input–output based innovation matrices: An illustrative application to six OECD technological systems for the middle 1990s. Economic Systems Research, 21(2), 129-149. https://doi.org/10.1080/09535310902940228; Myers, C. A., & Shultz, G. P. (1951). The Dynamics of a Labor Market: A Study of the Impact of Employment Changes on Labor Mobility, Job Satisfactions, and Company and Union Policies. Prentice-Hall.; Newman, M. E. J., & Girvan, M. (2002). Mixing patterns and community structure in networks. arXiv: Statistical Mechanics of Complex Networks (pp. 66-87). Springer. https://doi.org/10.1007/978-3-540-44943-0_5; Newman, M. E. J., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physics Review E, 69, 026113. https://doi.org/10.1103/PhysRevE.69.026113; Niño, J. O. P. (2020). Detección de comunidades en redes: algoritmos y aplicaciones. arXiv preprint arXiv:2009.08390.; O’Clery, N., Curiel, R. P., & Lora, E. (2019). Commuting times and the mobilisation of skills in emergent cities. Applied Network Science, 4(1), 1-27. https://doi.org/10.1007/s41109-019-0235-z; Pons, P., & Latapy, M. (2005). Computing communities in large networks using random walks. Computer and Information Sciences ISCIS 2005. Springer. https://doi.org/10.1007/11569596_31; Rasmussen, P. N. (1956). Studies in Inter-Sectoral Relations. E. Harck.; Reichardt, J., & Bornholdt, S. (2006). Statistical mechanics of community detection. Physical Review E, 74(1). https://doi.org/10.1103/PhysRevE.74.016110; R Core Team (2023). R: A Language and Environment for Statistical Computing_. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.; Rosenberg, A., & Hirschberg, J. (2007). V-measure: A conditional entropy-based external cluster evaluation measure. Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) (pp. 410-420). Association for Computational Linguistics. https://aclanthology.org/D07-1043; Santos, J. M., & Embrechts, M. (2009). On the use of the adjusted rand index as a metric for evaluating supervised classification. Artificial Neural Networks–ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II 19 (pp. 175-184). Springer. https://doi.org/10.1007/978-3-642-04277-5_18; Schnabl, H. (1994). The evolution of production structures, analyzed by a multi-layer procedure. Economic Systems Research, 6, 51-68. https://doi.org/10.1080/09535319400000004; Schultz, S. (1977). Approaches to identifying key sectors empirically by means of input‐output analysis. The Journal of Development Studies, 14(1), 77-96. https://doi.org/10.1080/00220387708421663; Slater, P. (1977). The determination of groups of functionally integrated industries in the United States using a 1967 interindustry flow table. Empirical Economics, 2, 1-9. https://doi.org/10.1007/BF01764717; Slater, P. (1978). The network structure of the United States input-output table. Empirical Economics, 3, 49-70. https://doi.org/10.1007/BF01764564; Sonis M., & Hewings, G. J. (1998). Economic complexity as network complication: Multiregional input-output structural path analysis. The Annals of Regional Science, 32, 407-436. https://doi.org/10.1007/S001680050081.; Sun, X., An, H., & Liu, X. (2018). Network analysis of Chinese provincial economies. Physica A: Statistical Mechanics and its Applications, 492, 1168-1180. https://doi.org/10.1016/j.physa.2017.11.045; Tsekeris, T. (2017). Network analysis of inter-sectoral relationships and key sectors in the Greek economy. Journal of Economic Interaction and Coordination, 12, 413-435. https://doi.org/10.1007/s11403-015-0171-7; Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press.; Wickham H, Averick M, Bryan J, Chang W, McGowan LD, François R, Grolemund G, Hayes A, Henry L, Hester J, Kuhn M, Pedersen TL, Miller E, Bache SM, Müller K, Ooms J, Robinson D, Seidel DP, Spinu V, Takahashi K, Vaughan D, Wilke C, Woo K, Yutani H (2019). “Welcome to the tidyverse.” Journal of Open Source Software, 4(43), 1686. doi:10.21105/joss.01686.; Xing, L., Guan, J., & Wu, S. (2018). Measuring the impact of final demand on global production system based on Markov process. Physica A: Statistical Mechanics and its Applications, 502, 148-163. https://doi.org/10.1016/j.physa.2018.02.129; Xu, M., & Liang, S. (2019). Input–output networks offer new insights of economic structure. Physica A-statistical Mechanics and Its Applications, 527, 121178. https://doi.org/10.1016/J.PHYSA.2019.121178; Zhou, M., Wu, G., & Xu, H. (2016). Structure and formation of top networks in international trade, 2001-2010. Social Networks, 44, 9-21. https://doi.org/10.1016/j.socnet.2015.07.006; https://revfinypolecon.ucatolica.edu.co/article/view/5774

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    وصف الملف: 94 páginas; Digital; pdf; application/pdf

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    المؤلفون: Alonso Cifuentes, Julio César

    وصف الملف: 60 páginas; Digital; pdf; application/pdf

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    Book

    وصف الملف: 110 páginas; Digital; pdf; application/pdf

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    وصف الملف: 51 páginas; Digital; pdf; application/pdf; application/octet-stream

    Relation: http://repository.icesi.edu.co/biblioteca_digital/handle/10906/115817; instname: Universidad Icesi; reponame: Biblioteca Digital; repourl: https://repository.icesi.edu.co/

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    وصف الملف: 53 páginas; Digital; pdf; application/pdf; application/octet-stream

    Relation: http://repository.icesi.edu.co/biblioteca_digital/handle/10906/115821; instname: Universidad Icesi; reponame: Biblioteca Digital; repourl: https://repository.icesi.edu.co/

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    وصف الملف: 52 páginas; Digital; pdf; application/pdf; application/octet-stream

    Relation: http://repository.icesi.edu.co/biblioteca_digital/handle/10906/115820; instname: Universidad Icesi; reponame: Biblioteca Digital; repourl: https://repository.icesi.edu.co/

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    المساهمون: Centro de Investigación en Economía y Finanzas - CIENFI

    وصف الملف: 51 páginas; Digital; pdf; application/pdf

    Relation: http://repository.icesi.edu.co/biblioteca_digital/handle/10906/94220; instname: Universidad Icesi; reponame: Biblioteca Digital; repourl: https://repository.icesi.edu.co/

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    المساهمون: Centro de Investigación en Economía y Finanzas - CIENFI

    وصف الملف: 53 páginas; Digital; pdf; application/pdf

    Relation: http://repository.icesi.edu.co/biblioteca_digital/handle/10906/94222; instname: Universidad Icesi; reponame: Biblioteca Digital; repourl: https://repository.icesi.edu.co/

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    المساهمون: Centro de Investigación en Economía y Finanzas - CIENFI

    وصف الملف: 51 páginas; Digital; pdf; application/pdf

    Relation: http://repository.icesi.edu.co/biblioteca_digital/handle/10906/94221; instname: Universidad Icesi; reponame: Biblioteca Digital; repourl: https://repository.icesi.edu.co/

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    المساهمون: Rodríguez Caporalli, Enrique, Sanabria Pulido, Pablo, Sanabria Pulido, Pedro Pablo

    وصف الملف: 386 páginas; Digital; pdf; application/pdf

    Relation: http://repository.icesi.edu.co/biblioteca_digital/handle/10906/87083; instname: Universidad Icesi; reponame: Biblioteca Digital; repourl: https://repository.icesi.edu.co/