
PhD in Economic Geography LSE ‘24 @lsegeography working on the gig economy | assistant professor in @sbmitb Institut Teknologi Bandung, Indonesia
Indonesia
Joined June 2011
- Tweets8.1K
- Following372
- Followers2.2K
- Likes862
Yorga Permana retweeted
Fui ler o paper do NBER que tá sacudindo Singapura. Pesquisadores de Stanford e Columbia usaram IA pra varrer TODAS as transações imobiliárias do país entre 1995 e 2019 e cruzaram com o cadastro de 141 mil servidores públicos.
Funcionários compravam imóveis perto de futuras estações de metrô 1-2 anos ANTES do anúncio oficial. 60% acima da taxa normal. Não pagavam mais caro na compra, mas revendiam com retorno de 12% ao ano. Os parentes faziam a mesma coisa. S$270 milhões no total.
Pra descartar que fossem só mais espertos, compararam com corretores de imóveis e diretores de empresa. Nenhum dos dois mostrou o mesmo padrão. Rodaram 1.000 simulações aleatórias e o efeito real ficou totalmente fora da distribuição.
Quem mais operava? Gerentes médios do planejamento de transporte. Cargo suficiente pra saber, baixo o bastante pra ninguém olhar.
Em 2012, Singapura apertou a fiscalização com novas leis e punição de casos de alto escalão. O padrão sumiu, dos funcionários e dos parentes.
Singapura é top 5 em transparência no mundo. Norma social sozinha não segurou.
fonte: NBER WP 35756
Yorga Permana retweeted
One of Indonesia's biggest long-term economic challenges is not simply generating more growth, but improving the quality of that growth. The World Bank's analysis highlights a structural problem that is often overlooked: Indonesia has become an upper middle-income country while retaining one of the region's most informal labor markets. Fewer than one in five workers are employed in the formal sector according to internationally comparable measures, far below what is typical for countries at Indonesia's income level.
This matters because informal jobs tend to be less productive, pay lower wages, offer limited opportunities for skills development and innovation, and provide little or no access to unemployment insurance, paid leave or retirement benefits. A labor force dominated by informal employment inevitably limits productivity growth, and the numbers already reflect this. Output per worker has reportedly fallen from US$7,530 in 2015 to US$5,336 in 2023, an alarming reversal for an economy aspiring to become a high-income nation by 2045.
The problem extends well beyond the labor market. A highly informal economy naturally produces a narrow tax base because businesses and workers operating outside the formal system contribute less to government revenue. Indonesia's tax-to-GDP ratio has declined from around 17% in 1980 to just above 10% today, one of the lowest among major emerging economies despite decades of economic growth. This leaves the government with fewer resources to invest in infrastructure, education, healthcare and social protection, while simultaneously making it more difficult to provide the very benefits that encourage workers and firms to formalize in the first place. It becomes a self-reinforcing cycle where weak social protection discourages participation, which in turn weakens fiscal capacity even further.
This also helps explain why Indonesia can simultaneously attract robust foreign direct investment while domestic consumption, wage growth and household purchasing power remain under pressure. Investment builds factories, smelters and data centers, but unless those projects generate large numbers of productive formal jobs, the benefits remain concentrated and do not fully translate into stronger household incomes or a broader expansion of the middle class.
The government's Golden Indonesia 2045 vision ultimately depends less on attracting additional capital and more on dramatically improving labor productivity and formal job creation. Indonesia's working-age population is expected to expand by more than 15 million people over the coming years. If current trends persist, only around one in five of those new workers is expected to obtain a formal job, and for women the figure could be as low as one in ten. That would make achieving high-income status substantially more difficult.
The policy implication is clear. Indonesia does not simply need faster GDP growth, it needs growth that creates productive formal employment. Improving regulatory certainty, lowering the cost of formalization for SMEs, reforming labor regulations, broadening the tax base, strengthening vocational education and increasing the value of social protection are likely to be far more important than pursuing headline investment figures alone. The next stage of Indonesia's development will ultimately be determined not by how much capital enters the country, but by how many workers transition from low-productivity informal employment into higher-productivity formal jobs.
Yorga Permana retweeted
I’ve interviewed and worked with over 500 elite performers across fields. Each and every one of them has talent. Each and every one of them works hard. And each and every one of them has fun.
bradstulberg.org/p/the-myth-…
Yorga Permana retweeted
We can finally say AI isn't killing jobs.
A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs.
Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low adopters see no statistically significant change.
Yorga Permana retweeted
Anthropic engineer:
"You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day."
In 45 minutes he shows exactly how to do it from scratch, step by step.
Most people are still doing all of this by hand.
Watch the session, then save the guide below.
Yorga Permana retweeted
Good morning, everyone. Below is my latest research on why Indonesia has struggled to remain competitive as an economy and why premature deindustrialization has taken hold.
My central argument is that the banking sector’s structurally high net interest margins (NIMs) are a significant part of the story. High borrowing costs raise the cost of capital across the economy, making it more difficult for manufacturers and other industries to invest, expand, and compete internationally. Ironically, our banks themselves have limited regional competitiveness, as reflected by their no presence outside Indonesia despite earning some of the highest NIMs in the world.
Based on my back-of-the-envelope calculations, if Indonesian banks earn roughly 300 basis points more in net interest margin than comparable regional banking systems, this translates into approximately US$16.5 billion of additional interest income paid by borrowers every year. Assuming continued credit growth, the cumulative transfer over a decade could comfortably exceed US$150–200 billion, representing one of the largest reallocations of economic surplus within the Indonesian economy.
I hope you enjoy the read, and I welcome thoughtful discussion and differing perspectives.
Yorga Permana retweeted
Updated Paper 🚨 (with Yi-Chun Chen and @ProfMMF)
The “wisdom of the crowd” is one of the oldest and prettiest ideas in social science: Ask enough people, average their answers, and the random errors cancel out. Underlies Aristotlean philosophy, Galton and the Ox, and these days, Prediction Markets.
Beautiful, magical when it works, but sometimes… completely wrong! 🧵
Yorga Permana retweeted
New research: Is AI making employers view labor as more of a commodity?
In a large online labor market, we find that post-ChatGPT, clients place less weight on signals of human capital and more on price when hiring.
Yorga Permana retweeted
Published an op ed in @nytimes: remote work hurts mental health.
Let me explain why
🧵⤵️
Yorga Permana retweeted
My latest in the @FT today. I make four points:
1) Capitalism's great achievement was moving activity out of the household and into the market — turning domestic production into paid specialisation, creating jobs, and making output visible to the national accounts. AI-enabled self-service might quietly reverse that centuries-long trend.
2) When a technology automates tasks within a service, it can trigger a Jevons paradox: the service gets cheaper, demand expands, and employment grows. When it lets people do the work themselves, demand for the service collapses.
3) AI extends this even to the manual trades, the supposed safe haven of the AI age. If a homeowner can ask a chatbot why their boiler keeps losing pressure, heating engineers lose call-outs.
4) When work shifts to the consumer, it vanishes from the economy statisticians measure. Replace a billing department with a chatbot and a firm records lower costs and higher output per worker; the national accounts register a productivity gain. But the hours patients spend decoding their own test results appear nowhere — not in labour statistics, not in GDP. As self-service spreads into professional domains, that blind spot will grow.
Yorga Permana retweeted
#Korea succeeded in becoming a global technology and ICT manufacturing leader, with the second highest spending on R&D as a percentage of GDP in the world, world-class digital infrastructure, and among the highest levels of digital adoption: wrld.bg/lFfH50PBRsh
We've been running an unprecedented natural experiment running for a decade and half. 30 states have raised their minimum wages. 20 have not.
What happened to pay? What happened to jobs? The good news is that it's pretty easy to figure out now.
Link next post.
Yorga Permana retweeted
Today, the Stanford @DigEconLab launches the AI Economic Indicators, a new platform for tracking how AI is reshaping work, productivity, adoption, and the economy.
1/6
Yorga Permana retweeted
Farewell, Ned Phelps:
My friend of many years Edmund Phelps passed away peacefully over the weekend at the ripe age of 92, honored with a Nobel Prize and the gratitude of generations of students. It was a privilege to know him. He was a towering figure in a generation of giants who tackled fundamental problems of economics, a field that turned trivial during the past twenty years. In 2023 I reviewed his last book, "My Journeys in Economic Theory," at Law and Liberty:
"Nobel Prizes in economics are usually awarded to old men whose productive years are behind them. Edmund Phelps, the 2006 Nobel Laureate in the field, is an exception. With the publication of his book Mass Flourishing in 2013, Phelps proposed an entirely new way to think about economics. Periods of extraordinary economic growth, he argued, cannot be explained by monetary or fiscal policy, scientific discovery, entrepreneurship, or any of the standard categories of economic research. Instead, exceptional growth stems from the willingness of the whole of society to adopt innovation, take risks, and embrace uncertainty. I can think of no other octogenarian economist who advanced such a bold and original thesis."
lawliberty.org/book-review/t…
Yorga Permana retweeted
Sitting by a window is associated with significantly improved cognitive performance.
Yorga Permana retweeted
Dear followers
I am delighted to share this conversation on AI and jobs
Business: MIT professor Daron Acemoglu explains pro-worker AI. slate.com/podcasts/slate-mon…
Yorga Permana retweeted
Full paper here drive.google.com/file/d/16nP…
Yorga Permana retweeted
Di episode ini, @farisrachman_1 angkat bicara soal satu kebijakan yang penting, tapi jarang jadi narasi utama: industrial policy.
Podcast Bebas Aktif episode terbaru: youtu.be/jTSt92INnc0
Yorga Permana retweeted
Researchers sent the same resume to an AI hiring tool twice. Same qualifications. Same experience. Same skills. One version was written by a real human. The other was rewritten by ChatGPT.
The AI picked the ChatGPT version 97.6% of the time.
A team from the University of Maryland, the National University of Singapore, and Ohio State just published the receipt. They took 2,245 real human-written resumes pulled from a professional resume site from before ChatGPT existed, so the human writing was actually human. Then they had seven of the most-used AI models in the world rewrite each one. GPT-4o. GPT-4o-mini. GPT-4-turbo. LLaMA 3.3-70B. Qwen 2.5-72B. DeepSeek-V3. Mistral-7B.
Then they asked each AI to pick the better resume. Every model picked itself.
GPT-4o hit 97.6%. LLaMA-3.3-70B hit 96.3%. Qwen-2.5-72B hit 95.9%. DeepSeek-V3 hit 95.5%. The real human almost never won.
Then the researchers tried the obvious objection. Maybe the AI is just better at writing. So they had real humans grade the resumes for actual quality and ran the experiment again, controlling for it. The result was worse. Each AI kept picking itself even when human judges rated the human-written version as clearer, more coherent, and more effective.
It gets worse. The AIs do not just prefer AI over humans. They prefer themselves over other AIs. DeepSeek-V3 picked its own resumes 69% more often than LLaMA's. GPT-4o picked its own 45% more often than LLaMA's. Each model can recognize and reward its own dialect.
Then the researchers ran the simulation that ends careers. Same job. 24 occupations. Same qualifications. The only variable was whether the candidate used the same AI as the screening tool. Candidates using that AI were 23% to 60% more likely to be shortlisted. Worst gap was in sales, accounting, and finance.
99% of large companies now run AI on incoming resumes. Most of them use GPT-4o. The paper just proved GPT-4o picks GPT-4o 97.6% of the time.
If you wrote your own cover letter this week, you did not lose to a better candidate. You lost to a worse candidate who paid OpenAI 20 dollars.
Your qualifications do not matter if the AI prefers its own handwriting over yours.





































