Florin Bilbiie 🇪🇺 🇺🇦
@FlorinBilbiie · Cambridge, UK · joined 22 Nov 2012
Max(Micro in Macro) s.t. Tractable Aggregate Demand w/ Heterogeneity/Inequality Aggregate Supply w/ Entry/Variety Monetary & Fiscal Policy #EconTwitter 1st Gen
16 901Followers
1 172Following
9 091Posts total
194.3KViews on collected posts
Últimas publicaciones
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To a racist/xenophobe, it really does not matter what diplomas you have, titles, social status, achievements, etc.
You are always just your skin color/ethnicity/nationality. In fact it's even worse, for having any of those invalidates the very premise of their whole belief system
1.5K views · 13 likes
· 1 reposts · 0 replies
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Very happy for Benjamin, sometimes this kind of prizes do go to the "right" recipients and this is one of the clearest examples.
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Very honored to receive the 2026 Carl Menger Prize from @VfS_econ.
Many thanks to @bundesbank, @oenb, and @SNB_BNS for this recognition!
https://t.co/6554QH3Kmo https://t.co/RzkVhfhVF9
11.7K views · 165 likes
· 10 reposts · 27 replies
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Did this inspire or was inspired by the flag of Argentina?
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@mitpress Special offer for Black Friday: the book drafts are 50 % off! :)
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@FlorinBilbiie @mean_field_zane November 26th gave me two good reads.
@mean_field_zane https://t.co/8dELmvm6U2
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@mitpress Just realized I launched the THANK book on ... Thanksgiving!
Entirely accidental--or maybe the universe really is tractable after all.
Perfect convergence example.
To compensate, I've uploaded the full, updated slide deck covering most of the book.
https://t.co/mCz7zpT
1.7K views · 27 likes
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@mitpress Thanks to all coauthors (!!), colleagues, students, seminar participants, and institutions that shaped this work over two+ decades.
I hope this book helps make heterogeneous-agent macroeconomics clearer, sharper, and easier to teach.
Feedback very welcome; enjoy the dra
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@mitpress If you’re teaching or supervising in areas of:
• Inequality
• Business-cycle macro
• Policy transmission & design
• Distributional effects
• Fiscal & monetary policy
• Consumption & MPCs
…feel free to use these materials. They’re written for clarity and pedagogy.
9/n
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🔗 Draft chapters available here:
https://t.co/La1oqEmGEY
Includes a full Table of Contents, each chapter downloadable as a PDF.
MIT Press has encouraged me to circulate drafts publicly. @mitpress
8/n
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All chapters are 𝗽𝗿𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝗿𝘆 and incomplete; this is a living draft!
Comments, suggestions, criticisms, teaching feedback are all very welcome.
Several chapters have circulated for years in slide form; they are now finally taking full written shape.
7/n
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The whole framework is summarized by the same 3 equations as the classic NK model--but now embeds distributional wedges.
The aggregate Euler equation becomes a kind of “primitive master equation” (metaphorically!) for HA macro.
Same architecture. Richer economics.
6/n
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🎯 Audience:
• PhD students
• Instructors refreshing the macro curriculum
• Central banks & policy institutions
• Researchers wanting a coherent HA-NK toolkit
• Anyone who wants to understand heterogeneity without (before) a computing cluster (yet!)
5/n
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Inside:
A reinterpretation of NK through a Keynesian Cross lens
Analytical TANK mechanisms/amplification
THANK: inequality, risk, transitions, MPCs, precautionary saving
(Il)Liquidity
Inequality, business-cycles &
(Optimal) Monetary & fiscal policy
Liquidity traps & r* in HA
4/n
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The book grows out of 20+ years of work on analytical HA models.
It builds a framework where distributional channels, MPC heterogeneity, income & wealth heterogeneity, liquidity, precautionary saving, and cyclical risk all feed into a low-dimensional NK structure.
3/n
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Simple goal:
bring heterogeneity into macro without losing the clarity of the New Keynesian model.
Tractable heterogeneity → clean mechanisms → transparent aggregate dynamics.
If you understand RANK → understand TANK → understand THANK → and much of HANK.
2/n
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🚀 Draft chapters my forthcoming MIT Press book:
𝗛𝗲𝘁𝗲𝗿𝗼𝗴𝗲𝗻𝗲𝗼𝘂𝘀 𝗔𝗴𝗲𝗻𝘁 𝗠𝗮𝗰𝗿𝗼𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰𝘀: A Tractable New Keynesian Framework
A modern, analytical roadmap to TANK & HANK models for researchers, students and policy institutions
https://t.co/La1oqEmGEY
👇 https://t.co/Z6JLwFPnIH
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Frente a cuentas del mismo tamaño
5 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.
Visualizaciones medianas1 533esta cuenta924mediana de 10K–100K
Alcance, %9.07%esta cuenta3.62%mediana de 10K–100K
Interacción, %1.01%esta cuenta1.52%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 1 533 | 924 | 1.66× |
| Alcance (visualizaciones ÷ seguidores) | 9.07% | 3.62% | 2.51× |
| Tasa de interacción | 1.01% | 1.52% | 0.66× |
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
1.4K26 Nov
1.3K
1.3K
1.3K
1.8K
2K
1.7K27 Nov
18028 Nov
867
1.4K15 Sep
11.7K
595
2.1K
1.5K17 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.79%26 Nov
0.83%
0.71%
1.58%
0.66%
0.83%
1.90%27 Nov
1.11%28 Nov
0.35%
0.43%15 Sep
1.76%
1.01%
1.38%
0.98%17 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes56.4%1 089 in total
Reposts9.3%179 in total
Replies3.7%71 in total
Quotes1.7%32 in total
Bookmarks29.0%559 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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