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Econometrica

@ecmaEditors · joined 03 Jul 2020

News from the editors of econometrica

57 752Followers

3Following

484Posts total

90.2KViews on collected posts

Postingan terbaru

Econometrica@ecmaEditors4 Sep

@ecmaEditors @ben_moll @Florian_Scheuer I don't have to pay to download or bug the professors to send me a copy thank you. 455 views · 0 likes · 0 reposts · 0 replies Open on X →

Econometrica@ecmaEditors2 Sep

Reanalyzing Suri (2011) We find instability in the parameter that governs who benefits most from technology adoption, consistent with weak identification. We propose a group random coefficient approach to diagnose it & construct robust confidence intervals https://t.co/tTHabkB1JG 14K views · 54 likes · 11 reposts · 0 replies Open on X →

Econometrica@ecmaEditors31 Aug

Can ML generate theoretical insight, not just predictions? Our procedures turn predictive models into anomaly generators, producing minimal cases existing theory can't explain. We apply it to revisit choice under risk. @m_sendhil @asheshrambachan https://t.co/twflFguNZa https://t 9.5K views · 147 likes · 26 reposts · 0 replies Open on X →

Econometrica@ecmaEditors28 Aug

We propose an algorithm for building efficient recentered IVs. While simulated IVs for Medicaid eligibility discard individual variation as non-random, our recentered IVs preserve it and deliver much more precise estimates. https://t.co/3XoxeI23qH https://t.co/4H1UwEISXc 9.3K views · 143 likes · 24 reposts · 3 replies Open on X →

Econometrica@ecmaEditors26 Aug

Repeated games meet coalition stability. @SNageebAli and @CeLiuEcon characterize the power and limits of self-enforcing promises in deterring coalitions. They apply the framework to study the implications of wage transparency in labor markets. https://t.co/CrCU5OoD90 https://t.co 17.9K views · 112 likes · 25 reposts · 0 replies Open on X →

Econometrica@ecmaEditors5 Feb

Econometrica Volume 94, Issue 1 (January 2026) is now online https://t.co/SYXNfx90nd https://t.co/uASPC3tosm

39.1K views · 191 likes · 38 reposts · 1 replies Open on X →

Dibandingkan akun berukuran sama

5 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan9 495akun ini924median untuk 10K–100K

Jangkauan, %16.44%akun ini3.62%median untuk 10K–100K

Interaksi, %0.77%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	9 495	924	10.3×
Jangkauan (tayangan ÷ pengikut)	16.44%	3.62%	4.54×
Tingkat interaksi	0.77%	1.52%	0.51×

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.