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Leonardo Monasterio

@lmonasterio.bsky.social

Brazilian Economist at @ipeaonline; professor at @SejaIDP; @CNPq_Oficial Opinions are solely mine (or stolen from others) https://sites.google.com/view/lmonasterio #econsky

4,082 Followers  |  1,732 Following  |  1,696 Posts  |  Joined: 27.06.2023
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Posts by Leonardo Monasterio (@lmonasterio.bsky.social)

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Tio Américo está te julgando

02.03.2026 20:05 — 👍 2    🔁 0    💬 0    📌 0

Eu amo a America Latina*

* filme italiano de 2021. Bem bom mesmo. Sinopse: um dentista bem sucedido encontra uma menina encarcerada no porão de sua casa.

02.03.2026 20:01 — 👍 0    🔁 0    💬 0    📌 0

O engraçado é que brigam pela honra de serem chamados de "americanos". Sei lá... pelo menos poderiam pegar um termo dos povos originários e não lá do amigo do Cristovão

02.03.2026 19:58 — 👍 0    🔁 0    💬 0    📌 0
Post image 02.03.2026 18:22 — 👍 11    🔁 3    💬 0    📌 1

que vídeo maneiro

02.03.2026 17:06 — 👍 22    🔁 3    💬 0    📌 0

é isso, mas a ordem está errada
é 1-2-4-1-2-3-4-1-4-1-2-4........ e o 3 muitas vezes não chega

02.03.2026 16:07 — 👍 2    🔁 0    💬 0    📌 0

anti-americanismo, doença infantil do bluesky

02.03.2026 15:52 — 👍 3    🔁 1    💬 1    📌 0

Muito importante

02.03.2026 15:47 — 👍 1    🔁 0    💬 0    📌 0

Você está comparando os governos ideais com os ceos reais.
E lembre-se que é mais fácil evitar um CEO psicopata (estamos aqui no bluesky, né? ) do que de um presidente doente ou meramente autoritário

02.03.2026 15:04 — 👍 2    🔁 0    💬 0    📌 0
Preview
American Journal of Political Science | MPSA Journal | Wiley Online Library Politician characteristic regression discontinuity (PCRD) designs leveraging close elections are widely used to isolate effects of an elected politician characteristic on downstream outcomes. Unlike ....

I am once again asking you to read Marshall (2022) before running a close-election RDD

onlinelibrary.wiley.com/doi/abs/10.1...

01.03.2026 19:44 — 👍 14    🔁 7    💬 0    📌 0
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Would anybody like to read one of my long threads about a 2.5bn year old rock, bacteria that could produce oxygen but not consume it, and tank production in wwii

23.02.2026 06:14 — 👍 478    🔁 126    💬 20    📌 45
Preview
Could rural-urban climate migration help formalise the economy? Evidence from Brazil shows that drought-driven rural-urban migration reduced urban informality over a decade, contradicting conventional wisdom.

🆕 Could rural-urban climate migration help formalise the economy?

Today on VoxDev, Clément Imbert (Sciences Po) & Gabriel Ulyssea (UCL) discuss how drought-driven migration reduced urban informality in Brazil: https://ow.ly/MHCf50YnTLl

02.03.2026 09:55 — 👍 7    🔁 5    💬 0    📌 1

Pois é... Tão problemático quando depender do governo

01.03.2026 21:12 — 👍 1    🔁 0    💬 1    📌 0

Que sorte que a Anthropic tem o melhor produto e não é dirigida por sociopatas.
Dá para ser ético sem custo!

01.03.2026 13:35 — 👍 4    🔁 0    💬 1    📌 0
Notable examples
Some examples of settings, groups, and eras where purity spirals have occurred:[1][2]

Khmer Rouge
Cultural Revolution, Red Guards and mass denunciations
French Revolution
Instagram knitting circles[4]
Moscow trials[6]

Notable examples Some examples of settings, groups, and eras where purity spirals have occurred:[1][2] Khmer Rouge Cultural Revolution, Red Guards and mass denunciations French Revolution Instagram knitting circles[4] Moscow trials[6]

28.02.2026 22:22 — 👍 2040    🔁 443    💬 29    📌 41

The Urban Mobility and Climate Change Conference is just around the corner (March 5 and 6). You can either attend the conference in person, or watch it live online. See registration info and full program here www.hks.harvard.edu/centers/cid/...

28.02.2026 17:32 — 👍 8    🔁 4    💬 0    📌 0
tidychain

new package alert! {tidychain} is a #rstats packaged inspired by the below authors experience in showing how an excel file was changed / manipulated by looking at the underlying xml files to prove fraud in research

datacolada.org/109package

usrbinr.codeberg.page/tidychain/

01.03.2026 04:35 — 👍 69    🔁 21    💬 2    📌 1
Oil spills from tankers have fallen by more than 90% since the 1970s.

Stacked bar chart showing annual counts of tanker oil spills from 1970 to 2024, with the vertical axis labeled 0 to 120 spills and the horizontal axis by year. Bars are stacked to show two categories: medium oil spills (7 to 700 tonnes) and large oil spills (greater than 700 tonnes). Only medium and large spills are included; smaller spills are excluded.

Key annotations: a callout at 1974 notes 117 oil spills occurred that year, 27 of them large; a callout at 2024 notes 10 oil spills occurred that year, 5 of them large. Overall the chart shows a sharp peak in the early to mid-1970s, followed by a long-term decline in annual spill counts, with much lower and relatively stable numbers from the 2000s onward and a slight uptick toward 2024.

Data source in the footer: ITOPF (2025); website OurWorldInData.org/oil-spills. License: CC BY.

Oil spills from tankers have fallen by more than 90% since the 1970s. Stacked bar chart showing annual counts of tanker oil spills from 1970 to 2024, with the vertical axis labeled 0 to 120 spills and the horizontal axis by year. Bars are stacked to show two categories: medium oil spills (7 to 700 tonnes) and large oil spills (greater than 700 tonnes). Only medium and large spills are included; smaller spills are excluded. Key annotations: a callout at 1974 notes 117 oil spills occurred that year, 27 of them large; a callout at 2024 notes 10 oil spills occurred that year, 5 of them large. Overall the chart shows a sharp peak in the early to mid-1970s, followed by a long-term decline in annual spill counts, with much lower and relatively stable numbers from the 2000s onward and a slight uptick toward 2024. Data source in the footer: ITOPF (2025); website OurWorldInData.org/oil-spills. License: CC BY.

Oil spills from tankers have fallen by more than 90% since the 1970s—

In the 1970s, oil spills from tankers — container ships transporting oil — were common. Between 70 and 100 spills occurred per year. That’s one or two spills every week.

28.02.2026 20:08 — 👍 91    🔁 22    💬 1    📌 1

On a day like this, not even the For You feed can save you from the hot takes

28.02.2026 18:59 — 👍 18    🔁 1    💬 2    📌 0
Preview
Is my phone listening to me? - BBC Bitesize

Is my phone listening to me? - BBC Bitesize share.google/wv6JgQQxfTLW...

28.02.2026 20:12 — 👍 2    🔁 0    💬 1    📌 0

Não havia fake news e, mesmo depois do recuo, a medida segue sendo um erro econômico e político de proporções luciano_coutinhescas

28.02.2026 11:36 — 👍 8    🔁 0    💬 0    📌 0
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Excelente o texto do Bacha

28.02.2026 11:34 — 👍 3    🔁 2    💬 0    📌 0

Até que o erro na percepção nem foi tão grande. Pornografia deve ter feito os pesquisados menos iludidos
(Uma pergunta como " você dirige melhor do que a média?" Tem percentuais bem maiores)

28.02.2026 11:34 — 👍 4    🔁 0    💬 0    📌 0
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This new QJE paper concludes that the macroeconomic costs of climate change are far greater than earlier estimates suggested. It finds that a 1°C rise in global temperatures reduces world GDP by over 20%.

28.02.2026 08:05 — 👍 50    🔁 30    💬 3    📌 4
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Cool little experiment: if you subject AI to harsh labor conditions (rejecting work often with no explanation, etc), it slightly, but significantly, changes their “views” on economics - making them more “left”. Whether this is real or roleplaying doesn’t change that agents have alignment drift.

27.02.2026 17:41 — 👍 75    🔁 14    💬 8    📌 6
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time traveler from 12 months from now just sent me this

27.02.2026 21:25 — 👍 1618    🔁 205    💬 66    📌 33

The problem with adopting the terminology "late stage capitalism" is that it becomes progressively more and more funny to cite your work as time goes by, like "as has been shown, late stage capitalism is hurtling us towards rapid collapse (Smith, 1974)".

27.02.2026 08:58 — 👍 345    🔁 37    💬 34    📌 3

Eduardo Angeli, meu amigo e craque de HPE ,me contou que foi o professor Jorge Miglioli (Unicamp). Ele fez doutorado na Polônia nos anos 60, voltou e difundiu as ideias do Kalecki no Br

27.02.2026 11:24 — 👍 3    🔁 0    💬 1    📌 0
(Chart 1: “Sugar Prices at Amsterdam, 1609–1763”): Line chart of annual average sugar prices in Amsterdam (y-axis: groten per pound; x-axis: years 1609–1763) for multiple origins and grades: Brazil White (highest series), São Tomé, Barbados, Caribbean & Surinamese aggregate, Martinique, Saint-Domingue, and dashed “powder/refined” series (Martinique Powder, Saint-Domingue Powder, East Indian Powder). Brazil White is very high and volatile in the 1620s–1650s (peaks above 30 groten), then reappears lower (roughly 9–13) in the late seventeenth and early eighteenth centuries; raw Caribbean series cluster mostly around 4–9 groten when present, while powder/refined series sit above the raw lines and rise sharply in the 1750s–1760s. Shaded background bands mark major conflict periods (Dutch Brazil 1630–54; Nine Years’ War 1689–97; War of Spanish Succession 1702–13; War of Austrian Succession 1744–48; Seven Years’ War 1756–63), and line breaks indicate years with no surviving quotations.

(Chart 1: “Sugar Prices at Amsterdam, 1609–1763”): Line chart of annual average sugar prices in Amsterdam (y-axis: groten per pound; x-axis: years 1609–1763) for multiple origins and grades: Brazil White (highest series), São Tomé, Barbados, Caribbean & Surinamese aggregate, Martinique, Saint-Domingue, and dashed “powder/refined” series (Martinique Powder, Saint-Domingue Powder, East Indian Powder). Brazil White is very high and volatile in the 1620s–1650s (peaks above 30 groten), then reappears lower (roughly 9–13) in the late seventeenth and early eighteenth centuries; raw Caribbean series cluster mostly around 4–9 groten when present, while powder/refined series sit above the raw lines and rise sharply in the 1750s–1760s. Shaded background bands mark major conflict periods (Dutch Brazil 1630–54; Nine Years’ War 1689–97; War of Spanish Succession 1702–13; War of Austrian Succession 1744–48; Seven Years’ War 1756–63), and line breaks indicate years with no surviving quotations.

(Chart: “Sugar Prices at Amsterdam, 1664–1763”): Line chart of annual average sugar prices in Amsterdam (y-axis: groten per pound, roughly 2–20; x-axis: 1664–1763) with separate series for Brazil White (highest line), São Tomé, Caribbean & Surinamese (aggregate), Barbados, Martinique, Saint-Domingue, and dashed refined/powder grades (Martinique Powder, Saint-Domingue Powder, East Indian Powder). Brazil White is very high in the mid-1660s (around 16–19 groten), then mostly around 10–13 when quoted (with long gaps), and rises again in the 1750s. Barbados and the Caribbean/Surinamese aggregate sit lower (generally about 5–9), with a clear dip in the early 1720s. Martinique and Saint-Domingue begin only in 1719 and cluster around 4–6 through the 1720s–1730s, then rise in the 1740s and especially the 1750s. Powder/refined series appear mainly after 1750 and run above the raw Martinique and Saint-Domingue lines, reaching the mid-teens by the early 1760s. Shaded background bands mark major wars (Franco-Dutch War 1672–78, Nine Years’ War 1689–97, War of Spanish Succession 1702–13, War of Austrian Succession 1744–48, Seven Years’ War 1756–63); vertical dashed markers label key moments (Rampjaar, Methuen, Law/SSB, Aix-la-Chapelle). Line breaks indicate years with no surviving quotations.

(Chart: “Sugar Prices at Amsterdam, 1664–1763”): Line chart of annual average sugar prices in Amsterdam (y-axis: groten per pound, roughly 2–20; x-axis: 1664–1763) with separate series for Brazil White (highest line), São Tomé, Caribbean & Surinamese (aggregate), Barbados, Martinique, Saint-Domingue, and dashed refined/powder grades (Martinique Powder, Saint-Domingue Powder, East Indian Powder). Brazil White is very high in the mid-1660s (around 16–19 groten), then mostly around 10–13 when quoted (with long gaps), and rises again in the 1750s. Barbados and the Caribbean/Surinamese aggregate sit lower (generally about 5–9), with a clear dip in the early 1720s. Martinique and Saint-Domingue begin only in 1719 and cluster around 4–6 through the 1720s–1730s, then rise in the 1740s and especially the 1750s. Powder/refined series appear mainly after 1750 and run above the raw Martinique and Saint-Domingue lines, reaching the mid-teens by the early 1760s. Shaded background bands mark major wars (Franco-Dutch War 1672–78, Nine Years’ War 1689–97, War of Spanish Succession 1702–13, War of Austrian Succession 1744–48, Seven Years’ War 1756–63); vertical dashed markers label key moments (Rampjaar, Methuen, Law/SSB, Aix-la-Chapelle). Line breaks indicate years with no surviving quotations.

Looking at EM sugar prices across multiple periods is fascinating, even though my series is incomplete. The collapse after Barbados enters the picture makes every other change look like peanuts. I knew that (and the literature has known it for ages), but it is still wild to see it plotted.

26.02.2026 22:32 — 👍 9    🔁 5    💬 1    📌 0
“Well, according to the dictionary, I’m just a large, flightless bird from East Africa. ... But believe me, Doris—once you get to know me, you’ll see I’m much, much more than that.”

“Well, according to the dictionary, I’m just a large, flightless bird from East Africa. ... But believe me, Doris—once you get to know me, you’ll see I’m much, much more than that.”

“Well, according to the dictionary, I’m just a large, flightless bird from East Africa. ... But believe me, Doris—once you get to know me, you’ll see I’m much, much more than that.”

26.02.2026 15:23 — 👍 270    🔁 47    💬 0    📌 0