Homophily and transitivity in dynamic network formation

Citations

Cited by:

1. Bryan S. Graham & Andrin Pelican, 2023. "Scenario Sampling for Large Supermodular Games," Papers 2307.11857, arXiv.org.
2. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2018. "Network and panel quantile effects via distribution regression," CeMMAP working papers CWP21/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   • Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   • Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
   • Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2018. "Network and panel quantile effects via distribution regression," CeMMAP working papers CWP70/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
3. Kevin Dano, 2023. "Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models," Papers 2303.00083, arXiv.org, revised Dec 2023.
4. Carayol, Nicolas & Bergé, Laurent & Cassi, Lorenzo & Roux, Pascale, 2019. "Unintended triadic closure in social networks: The strategic formation of research collaborations between French inventors," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 218-238.
   • Nicolas CARAYOL & Lorenzo CASSI & Pascale ROUX, 2014. "Unintended triadic closure in social networks: The strategic formation of research collaborations between French inventors," Cahiers du GREThA (2007-2019) 2014-13, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
   • Nicolas Carayol, 2017. "Unintended triadic closure in social networks: The strategic formation of research collaborations between French inventors," Post-Print hal-02274634, HAL.
   • Nicolas Carayol & Laurent Bergé & Lorenzo Cassi & Pascale Roux, 2019. "Unintended triadic closure in social networks: The strategic formation of research collaborations between French inventors," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02301605, HAL.
   • Nicolas Carayol & Laurent Bergé & Lorenzo Cassi & Pascale Roux, 2019. "Unintended triadic closure in social networks: The strategic formation of research collaborations between French inventors," Post-Print halshs-02301605, HAL.
   • Nicolas Carayol, 2014. "Unintended triadic closure in social networks: The strategic formation of research collaborations between French inventors," Post-Print hal-02274740, HAL.
   • Nicolas Carayol & Laurent Berge & Lorenzo Cassi & Pascale Roux, 2017. "Unintended triadic closure in social networks: The strategic formation of research collaborations between French inventors," Post-Print hal-03428644, HAL.
   • Nicolas Carayol & Laurent Bergé & Lorenzo Cassi & Pascale Roux, 2019. "Unintended triadic closure in social networks: The strategic formation of research collaborations between French inventors," PSE-Ecole d'économie de Paris (Postprint) halshs-02301605, HAL.
5. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
6. Marco Battaglini & Forrest W. Crawford & Eleonora Patacchini & Sida Peng, 2020. "A Graphical Lasso Approach to Estimating Network Connections: The Case of U.S. Lawmakers," NBER Working Papers 27557, National Bureau of Economic Research, Inc.
   • Battaglini, Marco & Crawford, Forrest & Patacchini, Eleonora & Peng, Sida, 2020. "A Graphical Lasso Approach to Estimating Network Connections: The Case of U.S. Lawmakers," CEPR Discussion Papers 15041, C.E.P.R. Discussion Papers.
7. Tadao Hoshino, 2020. "A Pairwise Strategic Network Formation Model with Group Heterogeneity: With an Application to International Travel," Papers 2012.14886, arXiv.org, revised Feb 2021.
8. Tadao Hoshino & Daichi Shimamoto & Yasuyuki Todo, 2020. "Accounting for Heterogeneity in Network Formation Behaviour: An Application to Vietnamese SMEs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1042-1067, October.
   • HOSHINO Tadao & SHIMAMOTO Daichi & TODO Yasuyuki, 2017. "Accounting for Heterogeneity in Network Formation Behavior: An application to Vietnamese SMEs," Discussion papers 17023, Research Institute of Economy, Trade and Industry (RIETI).
9. Bryan S. Graham & Andrin Pelican, 2023. "Scenario sampling for large supermodular games," CeMMAP working papers 15/23, Institute for Fiscal Studies.
10. Fernando, Garcia Alvarado & Antoine, Mandel, 2022. "The network structure of global tax evasion evidence from the Panama papers," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 660-684.
    • Garcia Alvarado Fernando & Mandel Antoine, 2022. "The network structure of global tax evasion Evidence from the Panama Papers," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03881348, HAL.
    • Garcia Alvarado Fernando & Mandel Antoine, 2022. "The network structure of global tax evasion Evidence from the Panama Papers," Post-Print hal-03881348, HAL.
11. Chen, Le-Yu & Lee, Sokbae, 2018. "Best subset binary prediction," Journal of Econometrics, Elsevier, vol. 206(1), pages 39-56.
    • Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    • Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Best subset binary prediction," CeMMAP working papers CWP50/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Best subset binary prediction," CeMMAP working papers 50/17, Institute for Fiscal Studies.
12. Gao, Wayne Yuan & Li, Ming & Xu, Sheng, 2023. "Logical differencing in dyadic network formation models with nontransferable utilities," Journal of Econometrics, Elsevier, vol. 235(1), pages 302-324.
    • Wayne Yuan Gao & Ming Li & Sheng Xu, 2020. "Logical Differencing in Dyadic Network Formation Models with Nontransferable Utilities," Papers 2001.00691, arXiv.org, revised Jul 2021.
13. Bryan S. Graham, 2017. "An Econometric Model of Network Formation With Degree Heterogeneity," Econometrica, Econometric Society, vol. 85, pages 1033-1063, July.
    • Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers CWP08/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
14. Áureo de Paula, 2020. "Econometric Models of Network Formation," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 775-799, August.
    • Aureo de Paula, 2019. "Econometric Models of Network Formation," Papers 1910.07781, arXiv.org, revised Jan 2020.
    • Áureo de Paula, 2020. "Econometric Models of Network Formation," CeMMAP working papers CWP4/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • de Paula, Aureo, 2020. "Econometric Models of Network Formation," CEPR Discussion Papers 14304, C.E.P.R. Discussion Papers.
15. Vincent Boucher, 2017. "The Estimation of Network Formation Games with Positive Spillovers," Cahiers de recherche 1710, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
16. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
17. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
18. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
    • Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
19. Matthew O. Jackson & Stephen M. Nei & Erik Snowberg & Leeat Yariv, 2022. "The Dynamics of Networks and Homophily," NBER Working Papers 30815, National Bureau of Economic Research, Inc.
    • Yariv, Leeat & Jackson, Matthew O. & Nei, Stephen & Snowberg, Erik, 2023. "The Dynamics of Networks and Homophily," CEPR Discussion Papers 17809, C.E.P.R. Discussion Papers.
    • Matthew O. Jackson & Stephen M. Nei & Erik Snowberg & Leeat Yariv, 2023. "The Dynamics of Networks and Homophily," CESifo Working Paper Series 10210, CESifo.
20. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
21. Luis Alvarez & Cristine Pinto & Vladimir Ponczek, 2022. "Homophily in preferences or meetings? Identifying and estimating an iterative network formation model," Papers 2201.06694, arXiv.org, revised Mar 2024.
22. Cui Zhang & Dandan Zhang, 2023. "Spatial Interactions and the Spread of COVID-19: A Network Perspective," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 383-405, June.
23. Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
    • Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014. "Nonlinear Factor Models for Network and Panel Data," Papers 1412.5647, arXiv.org, revised Oct 2019.
    • Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2019. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP18/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
24. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    • Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
25. Boucher, Vincent, 2020. "Equilibrium homophily in networks," European Economic Review, Elsevier, vol. 123(C).
26. Michael P. Leung, 2020. "Treatment and Spillover Effects Under Network Interference," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 368-380, May.
27. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
28. Leung, Michael P., 2019. "A weak law for moments of pairwise stable networks," Journal of Econometrics, Elsevier, vol. 210(2), pages 310-326.
29. Fan Zhou & Kunpeng Zhang & Bangying Wu & Yi Yang & Harry Jiannan Wang, 2021. "Unifying Online and Offline Preference for Social Link Prediction," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1400-1418, October.