Networks in the Understanding of Economic Behaviors

By Matthew O. Jackson. 2014

287 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Safety Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Pablo Querubin
2. Arthur Campbell
3. Cesi Cruz
4. Julien Labonne
5. Stuti Khemani

In Management Science and Operations Research

1. Arthur Campbell
2. Julien Labonne

In Safety Research

1. Arthur Campbell
2. Julien Labonne
3. Stuti Khemani

Citations in the corpus

• Heterogeneous peer effects in education (2014, unknown): “For overviews, see Jackson (2008, 2014), Blume et al. (2011), Ioannides (2012), Boucher and Fortin (2015), raham (2015), Jackson and Zenou (2015), and Jackson et al. (2017).”
• Networks of Value Added Trade (2017, unknown): “Evidence on increasing vertical specialisation in trade using the broad concept of foreign value added in exports is presented by Hummels et al. (2001), Amador and Cabral (2009), Johnson (2014), Timmer et al. (2014), among others.”
• Word-of-Mouth Communication and Percolation in Social Networks † (2013, methodology): “I incorporate nontrivial levels of clustering into the social network using the methodology set out in Newman (2009) for describing random graphs with triads. This methodology can be extended, as in Karrer and Newman (2010), to incorporate arbitrary local structures.”
• Politician Family Networks and Electoral Outcomes: Evidence from the Philippines (2017, background): “Our paper contributes to the literature on the importance of social networks in various contexts (Jackson, 2014; Munshi, 2014).3 In particular, networks have been linked to the diffusion of information (Banerjee et al., 2013; Alatas et al., 2016; Larson and Lewis, 2017), conflict outcomes (König et…”
• The Economic Consequences of Social Network Structure (2017, unknown): “The finding that subjects are able to find short paths in a network, is remarkable because people often have poor knowledge of networks beyond their immediate friendships (e.g., see Friedkin (1983); Krackhardt (1987, 2014); Banerjee, Chandrasekhar, Duflo, and Jackson (2014)).”