tweetindex
ES

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

Últimas publicaciones

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 →

Frente a cuentas del mismo tamaño

7 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. por debajo de sus pares en alcance y en interacción.

Visualizaciones medianas1 774esta cuenta5 983mediana de 100K–1M
Alcance, %0.54%esta cuenta1.49%mediana de 100K–1M
Interacción, %0.11%esta cuenta0.93%mediana de 100K–1M
MétricaEsta cuentaMediana de 100K–1MProporción
Visualizaciones medianas por publicación1 7745 9830.30×
Alcance (visualizaciones ÷ seguidores)0.54%1.49%0.36×
Tasa de interacción0.11%0.93%0.12×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

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.

Cuentas similares