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NBER ✓

@nberpubs · Cambridge, MA US · joined 22 May 2009

The National Bureau of Economic Research is dedicated to conducting and disseminating nonpartisan economic research.

328 978Followers
241Following
22 885Posts total
38.6KViews on collected posts

Postingan terbaru

Providing the design and properties of a maximally efficient new form of liquidity savings mechanisms, from @DarrellDuffie, Srisht F. Singh, and Chaojun Wang https://t.co/GW1zFKKDcb https://t.co/xBILD1KSNu 463 views · 0 likes · 0 reposts · 0 replies Open on X →
A new atomic contracting protocol resolves holdup in networks of bilaterally bargaining agents, from @DarrellDuffie and Chaojun Wang https://t.co/4VBxiEK33y https://t.co/gMvQrgJf0B 1.8K views · 1 likes · 0 reposts · 1 replies Open on X →
Creating and distributing new task-level adoption indices for generative AI usage, from Alexander Bick, Adam Blandin, @ProfDavidDeming, and Tyler R. Schumacher https://t.co/2I26iSxRRV https://t.co/Rru1GczG2V 3.4K views · 15 likes · 3 reposts · 0 replies Open on X →
@nberpubs @Cyndi This is getting weird, but apparently some firms can really mess with people's minds and sway their political views!. 52 views · 0 likes · 0 reposts · 0 replies Open on X →
@nberpubs @pbaylis @JonathanColmer 🥝 9 views · 0 likes · 0 reposts · 0 replies Open on X →
Dominant employers use local labor market power to shape voter preferences and turnout, increasing Republican participation and potentially changing presidential election outcomes, from Carlos Fernando Avenancio-León, Adelina Barbalau, @Cyndi Xinyu Hou, and Alessio Piccolo https: 9.8K views · 46 likes · 6 reposts · 1 replies Open on X →
The individual economic consequences of wildfires are unevenly distributed, extend beyond property damage, and persist for years as individuals and communities recover, from @pbaylis, Judson Boomhower, @JonathanColmer, and @john_voorheis https://t.co/eH3C4gAPrt https://t.co/b3HE7 8.1K views · 15 likes · 1 reposts · 1 replies Open on X →
Job ads can signal hidden job traits. Evidence from German workers shows this distorts discrete choice estimates of workers’ willingness to pay, from Pawel Adrjan, Mária Balgova, @simon_jaeger, Jonas Jessen, and @JSockin https://t.co/NX0GP3sZhp https://t.co/6m2hB0nS6k
15K views · 34 likes · 8 reposts · 1 replies Open on X →

Dibandingkan akun berukuran sama

7 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. di bawah akun sekelasnya baik pada jangkauan maupun interaksi.

Median tayangan1 774akun ini5 983median untuk 100K–1M
Jangkauan, %0.54%akun ini1.49%median untuk 100K–1M
Interaksi, %0.11%akun ini0.93%median untuk 100K–1M
MetrikAkun iniMedian untuk 100K–1MRasio
Median tayangan per postingan1 7745 9830.30×
Jangkauan (tayangan ÷ pengikut)0.54%1.49%0.36×
Tingkat interaksi0.11%0.93%0.12×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

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

15K18 Jul
8.1K3 Sep
9.8K
94 Sep
52
3.4K
1.8K
463

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.29%18 Jul
0.21%3 Sep
0.55%
0.00%4 Sep
0.00%
0.53%
0.11%
0.00%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes51.2%111 in total
Reposts8.3%18 in total
Replies1.8%4 in total
Quotes0.9%2 in total
Bookmarks37.8%82 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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