VoxEU.org: Recent Articles |
- Social media influences the mainstream media
- Europe’s growing league of small corporate bond issuers
- Levelling up Europe’s left-behind places
- Using machine learning to assess the impact of deep trade agreements
| Social media influences the mainstream media Posted: Many recent papers have shown that social media has changed society, but the power of Twitter goes far beyond its impact on its users. This column reports on a new research project, relying on nearly two billion tweets and an innovative empirical approach, which shows that not only does Twitter set the agenda of media coverage in a quantitatively meaningful way, it also influences mainstream media due to short-term considerations generated by advertising revenue-bearing clicks. The findings also suggest that journalists' reliance on Twitter might distort the information they produce compared to what citizens actually prefer. |
| Europe’s growing league of small corporate bond issuers Posted: Historically, only very large firms issued in the European corporate bond market. However, recent years have seen the entry of many new players: small, private, and unrated issuers. This column uses firm-level data to show these new players face different game dynamics. They are disconnected from aggregate market movements and still depend heavily on banks. A better understanding of the differences between new and more established corporate bond issuers could help identify policy implications for financial stability, capital markets development, and growth. |
| Levelling up Europe’s left-behind places Posted: Recorded live at CEPR Paris Symposium 2022: Inequality isn't just between individuals, but between regions too. Henry Overman explains to Tim Phillips why these disparities exist, why they are so persistent, and whether regional policies to "level up" left-behind places will succeed. |
| Using machine learning to assess the impact of deep trade agreements Posted: Modern preferential trade agreements contain a host of provisions that go beyond tariff liberalisation. By adapting techniques from the machine learning literature, this column develops data-driven methods for selecting the most trade-increasing provisions and quantifying their impact on trade. The results suggest that provisions related to technical barriers to trade, anti-dumping, trade facilitation, subsidies, and competition policy are associated with enhancing the trade-increasing effect of preferential trade agreements. Based on these findings, the effects of individual agreements can be estimated. |
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