European Central Bank Research
@ECB_Research · Frankfurt am Main, Germany · joined 10 Oct 2022
Insights, analysis and other news from @ecb researchers. Authors' views are their own, and not necessarily those of the European Central Bank.
11 810Followers
55Following
1 894Posts total
4.3KViews on collected posts
Latest posts
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🧵New @ecb Research Bulletin by M. Ferrari Minesso, L. Lebastard, O. Triay Bagur “Connecting payment systems, linking economies” https://t.co/Ub6v4l5MY5 1/5
214 views · 0 likes
· 0 reposts · 1 replies
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🧵New @ecb Working Paper by M. Ampudia, F. Schobert, J. von Landesberger, P. Formoso da Silva, S. Hesse, A. Pütz & A. Wohlert, “Central banks, debt managers, and specialness in the Bund repo market” https://t.co/y2LUYTDV4k 1/4
634 views · 4 likes
· 1 reposts · 1 replies
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Overall, US import tariffs markedly reduce US production. Production network effects outweigh intended protective benefits, at least at business-cycle horizons, highlighting why input-output linkages matter for understanding the macroeconomic impact of trade policy. 5/5
165 views · 0 likes
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It identifies two key channels: backward exposure raises input costs, pushing prices up and output down. Forward exposure weakens demand for suppliers when customer industries cut output due to import tariffs, reducing suppliers’ output and prices. 4/5
188 views · 0 likes
· 0 reposts · 1 replies
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How do US import tariffs affect US industries? A new paper studies how tariffs are transmitted through the domestic production network. 2/5
174 views · 0 likes
· 0 reposts · 2 replies
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Using US input-output data for manufacturing industries and detailed US import tariff shocks from January 2004 to January 2020, authors trace how import tariffs affect sectors directly, through suppliers and through customer industries. 3/5
119 views · 0 likes
· 0 reposts · 1 replies
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🧵New @ecb Working Paper by M. Khalil, F. Strobel & P. M. Rouillard “Import tariff transmission in a production network” https://t.co/tAGD6Jw02S 1/5
804 views · 5 likes
· 3 reposts · 1 replies
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🧵New @ecb Working Paper by A. Pereira, E. Tereanu & E. Minnella “The devil in the DeTail: assessing state-contingent tail effects of a releasable macroprudential capital buffer using a parsimonious agent-based framework” https://t.co/ndKbXlOesA 1/2
638 views · 2 likes
· 1 reposts · 1 replies
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The results point less to a simple story of digital banking and more to competitive restructuring. Closures are strongly linked to mergers and acquisitions, bank heterogeneity, and local market conditions. Debranching in CESEE is widespread—but far from uniform. 5/5
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The decline is substantial: across the ten countries, branch numbers fell by more than 30% between 2013 and 2021. But the trend is highly uneven, from modest reductions in North Macedonia to losses of more than half of all branches in Hungary. 4/5 https://t.co/OdIDo4AyKE
176 views · 0 likes
· 0 reposts · 1 replies
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Bank branches are disappearing across the euro area. Does the same “debranching” trend apply to Central, Eastern and Southeastern Europe, where cash remains important and firms rely heavily on banks? The paper studies this using new branch-level data. 2/5
199 views · 1 likes
· 0 reposts · 1 replies
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We compile geocoded data on bank branch locations in 2013 and 2021 for ten CESEE countries. This lets us move beyond national totals and ask where branches closed, how local market structures changed, and why some regions and banks adjusted more than others. 3/5
103 views · 1 likes
· 0 reposts · 1 replies
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🧵New @ecb Working Paper by E. Beckmann & J. L. Weinel “The changing geography of banking in CESEE. Branch closures outpace openings” https://t.co/ryk9igWuXc 1/5
756 views · 6 likes
· 4 reposts · 1 replies
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Against accounts of the same size
13 posts from the last 90 days, next to the 10K–100K follower range. below its peers on both reach and engagement.
Median views188this account924median for 10K–100K
Reach, %1.59%this account3.62%median for 10K–100K
Engagement, %0.84%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 188 | 924 | 0.20× |
| Reach (views ÷ followers) | 1.59% | 3.62% | 0.44× |
| Engagement rate | 0.84% | 1.52% | 0.55× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
75618 Sep
103
199
176
164
63821 Sep
80422 Sep
119
174
188
165
63423 Sep
21424 Sep
Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.46%18 Sep
1.94%
1.01%
0.57%
0.61%
0.63%21 Sep
1.12%22 Sep
0.84%
1.15%
0.53%
0.00%
0.95%23 Sep
0.47%24 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes41.3%19 in total
Reposts21.7%10 in total
Replies26.1%12 in total
Bookmarks10.9%5 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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