International trade and social connectedness

Bailey, Michael; Gupta, Abhinav; Hillenbrand, Sebastian; Kuchler, Theresa; Richmond, Robert; Stroebel, Johannes

doi:10.1016/j.jinteco.2020.103418

Cited by 75 publications

(33 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In previous work, we have shown that this measure predicts a large number of important economic and social interactions. For example, social connectedness as measured through Facebook friendship links is strongly related to patterns of sub-national and international trade (Bailey et al, 2020b), patent citations (Bailey et al, 2018b), and investment decisions (Kuchler et al, 2020). More generally, we have found that information on individuals' Facebook friendship links can help understand their product adoption decisions and their housing and mortgage choices (Bailey et al, 2018a(Bailey et al, , 2019a.…”

Section: Data Descriptionmentioning

confidence: 73%

The Geographic Spread of COVID-19 Correlates with Structure of Social Networks as Measured by Facebook

2020

Self Cite

View full text Add to dashboard Cite

Section: Data Descriptionmentioning

confidence: 73%

The Geographic Spread of COVID-19 Correlates with Structure of Social Networks as Measured by Facebook

2020

Self Cite

View full text Add to dashboard Cite

“…Nguyen (2012) and Kramarz and Thesmar (2013) look at social networks within boards and in the upper management of firms. Chaney (2014) and Bailey et al (2021) investigate the role of networks in international trade. Bailey et al (2018b) demonstrate that information about house price developments spreads along socially connected individuals.…”

Section: Introductionmentioning

confidence: 99%

Asset Price Bubbles and Systemic Risk

Brunnermeier

Rother

Schnabel

2020

The Review of Financial Studies

View full text Add to dashboard Cite

We analyze the relationship between asset price bubbles and systemic risk, using bank-level data covering almost 30 years. Banks’ systemic risk already rises during a bubble’s buildup and even more so during its bust. The increase in risk strongly differs across banks and by bubble. It depends on bank characteristics (especially bank size) and bubble characteristics and can become very large: in a median real estate bust, systemic risk increases by almost 70% of the median for banks with unfavorable characteristics. These results emphasize the importance of bank-level factors in the buildup of financial fragility during bubble episodes.

show abstract

“…That same survey shows that Facebook usage rates among U.S.-based online adults were relatively constant across income groups, education levels, and race, and among urban, rural, and suburban residents; usage rates were slightly declining in age (from 79% of individuals aged 18 to 29, to 46% of individuals aged 65 and older). See Allen, Peng, and Shan (2020); Bailey, Cao, Kuchler, and Stroebel (2018); Bailey, Cao, Kuchler, Stroebel, and Wong (2018); Bailey, Dávila, Kuchler, and Stroebel (2019); Bailey, Farrell, Kuchler, and Stroebel (2020); Bailey, Gupta, Hillenbrand, Kuchler, Richmond, and Stroebel (2020); Bailey, Johnston, Kuchler, Russel, State, and Stroebel (2020); Bali, Hirshleifer, Peng, and Tang (2018); Kuchler, Russel, and Stroebel (2020a); Kuchler, Peng, Stroebel, Li, and Zhou (2020); Wilson (2019) and Rehbein and Rother (2020) for other economics and finance research using data from Facebook.…”

Section: Survey Methodologymentioning

confidence: 99%