Maria Balgova

460 posts

Maria Balgova banner
Maria Balgova

Maria Balgova

@BalgovaMaria

Labour economist studying geography of jobs, matching, and pay at @BankofEngland. @OxfordEconDept PhD, @iza_bonn fellow, made in 🇸🇰

London, UK Katılım Kasım 2018
447 Takip Edilen848 Takipçiler
Maria Balgova retweetledi
Pawel Adrjan
Pawel Adrjan@PawelAdrjan·
A small favour for my economist network - we're hiring an Economist (Dutch speaker) based in the Netherlands at Indeed Hiring Lab. If you know someone who'd be a great fit, please share this with your Dutch-speaking network! Application link below
Pawel Adrjan tweet media
English
1
6
4
2K
Maria Balgova retweetledi
Derek Thompson
Derek Thompson@DKThomp·
It's funny how this essay about matchmakers feels like a sort of fable about technology and work—even AI and jobs Step 1. Online dating makes something measurable—matching—more efficient. Step 2. People predict that, obviously, this will put matchmakers out of a job. Step 3. But increasing the measurable thing, matches, also increases the annoying thing, bad matches, and that makes people frustrated, Step 4: Frustrated people with money pay matchmakers to improve the process. Ta-da: Technology to increase digital matchmaking ironically increases the demand for human matchmakers (cc @alexolegimas)
Stephanie H. Murray@stephmurrayyyy

At one point, people thought online dating would put matchmakers out of business. That seems pretty silly now! Everyone I spoke to thinks online dating is actively generating demand for their services.

English
18
52
418
125.1K
Maria Balgova retweetledi
Eleonora Alabrese
Eleonora Alabrese@EleAla·
Excited to be co-organising the 3rd Workshop on “Text-as-Data” in Economics @UniofBath, 16–17 July 2026. We have two fantastic keynote speakers, Daniel Chen and Milena Djourelova, and welcome submissions on NLP, LLMs, ML, and related methods across economics and neighbouring fields. Deadline: 24 May — please share widely!
Department of Economics @ University of Bath@EconUniofBath

📣We are pleased to announce the CfP for 3rd Workshop on “Text-as-Data” in Economics 16–17 July Department of Economics, @UniofBath Keynotes: Daniel Chen and @MNDjourel Submit your paper/extended abstract by 24 May: tinyurl.com/tadbath Info: bath.ac.uk/events/text-as…

English
0
17
49
9.6K
Maria Balgova
Maria Balgova@BalgovaMaria·
@MerrynSW I know it's not short but: Rebecca by Daphne du Maurier. I find it's impossible not to want more after reading this book.
English
1
0
1
361
Merryn Somerset Webb
Merryn Somerset Webb@MerrynSW·
Literary X: Book suggestions for a very bright 19 yo who doesn't read at all and hasn't since childhood. An easy to read short novel that will click her back in.. all ideas welcome.
English
357
8
91
59.8K
Maria Balgova retweetledi
Pedro Serôdio
Pedro Serôdio@pdmsero·
Is AI killing jobs? New data shows that, more than three years after the release of ChatGPT, there is no evidence for a significant impact of AI on overall employment in the UK. In our new report, we break down the labour force into different occupations and use four measures of AI exposure to determine how likely they are to be affected by the technology. Surprisingly, occupations with higher exposure to AI have grown faster than least-exposed ones, not slower. This holds across all four measures, and across two different data sources. The wage picture is different. Pay in AI-exposed occupations has lagged the rest of the labour market since 2019. But that gap opened three years before ChatGPT, which makes AI an unlikely candidate for the observed wage compression. This flattening of the wage structure is visible across the within-occupation distribution and strongest at the top quartile, which is consistent with labour market dynamics that predate generative AI.
Pedro Serôdio tweet mediaPedro Serôdio tweet mediaPedro Serôdio tweet mediaPedro Serôdio tweet media
English
63
312
1.3K
462.5K
Maria Balgova retweetledi
Martha Gimbel
Martha Gimbel@marthagimbel·
Many of us are trying to figure out where the AI labor market transition may be going. But that's fundamentally unknowable. So instead of trying to predict the future we can instead look back to try to figure out what may be coming...by reading 19th c english literature 1/
English
14
91
428
178.3K
Maria Balgova retweetledi
Joe Hazell
Joe Hazell@JADHazell·
When interest rates fall, do people spend more? And if so why? We argue monetary policy affects consumption mostly because house prices rise when rates fall, and households borrow against their homes. With superstar coauthors Angus Foulis, @AtifRMian and Belinda Tracey. 1/5
Joe Hazell tweet media
English
7
56
263
35.9K
Maria Balgova retweetledi
Birthe Larsen
Birthe Larsen@BirtheLarsenCph·
Please read our new research on “What makes hiring difficult” Published in European Economic Review 🔑 Findings: 1) search &training frictions discourage hirings as much as labour costs 2) mainly for younger &smaller firms 3) many firms prefer hiring employed to unemployed workers. Abstract We use a novel firm survey linked to Danish administrative data to examine the factors that shape hiring decisions. Our analysis reveals three key findings. First, search and training frictions are as influential as labor costs in discouraging hiring despite potential needs. Second, these frictions disproportionately constrain younger and smaller firms, while firms with high-wage policies are less likely to report labor costs as an obstacle. Third, employers’ beliefs play a critical role: many firms prefer hiring employed rather than unemployed workers, perceiving the latter as lower ability due to negative selection or skill depreciation. Firms holding such beliefs are also more likely to report that labor market frictions impede their hiring decisions.
Birthe Larsen tweet media
English
0
1
4
312
Maria Balgova retweetledi
Alex Imas
Alex Imas@alexolegimas·
This essay “The Last Temptation of Claude” by Harry Law is excellent. This part stuck out: de skilling doesn’t just happen. People dont make one choice—it’s hundreds and thousands of little choices. Off load a memo, off load a section of the paper, etc. they all seem small but then you wake up one day and hey that thing that used to be easy is now quite hard, or even impossible. The temptation is real, so as with all temptation, it’s important to be deliberate and have rules. Everyone will be different, I have mine (write everything on my own, read old fiction)—but they might sound dumb or not work for others. open.substack.com/pub/cosmosinst…
Alex Imas tweet media
English
21
167
1K
104.2K
Maria Balgova retweetledi
Alan Cole
Alan Cole@AlanMCole·
It’s a truth universally acknowledged—and you’re absolutely right to notice this—that a single man in possession of a good fortune must be not merely wealthy, but, also, and more precisely, in want of a wife. This isn’t about gossip—it’s about social incentives.
English
19
30
596
50.8K
Maria Balgova retweetledi
Luis Garicano 🇪🇺🇺🇦
Luis Garicano 🇪🇺🇺🇦@lugaricano·
My New Year post is a letter to a young person trying to find their direction in a world disrupted by AI. My advice, in four words: take the messy job. I hope you enjoy it and find it useful. Happy New Year!
Luis Garicano 🇪🇺🇺🇦 tweet media
English
7
70
345
137.7K
Maria Balgova retweetledi
The Mind Scourge
The Mind Scourge@TheMindScourge·
The model is aviation, and pilots specifically. The computer (mostly) flies the plane itself. The result is a much safer flying environment than if everything was 100% manual But pilots are essential to the process. They’re an offline module in case the electronics fail, as an authority figure, and as the human interface between the aircraft, its passengers and crew, and the rest of the world. Their day to day responsibilities involve monitoring the outputs of the increasingly brilliant systems. They are also there to take responsibility for what happens. The AI isn’t a responsible party Lawyers will be the same. They’ll be fine
Luiza Jarovsky, PhD@LuizaJarovsky

As a lawyer, let me tell you the main reason why AI will likely NOT kill all lawyers, and why law is actually one of the most 'AI-safe' professions today: The legal profession is very good at protecting itself. It's built around the idea of competence, authority, credibility, and gatekeeping. That's how it has been for centuries. If AI systems become very good at generating structurally complex and legally accurate outputs, legal procedure rules will be amended to make sure that: - a human lawyer is always involved in a legal case; - every legally relevant document is reviewed and signed by a human lawyer. Also, bar associations worldwide will likely create new rules around legal representation, including procedural and behavioral rules, in a way that a human lawyer will always be necessary. I don't see it changing in the next 15-20 years. After that, lawyers will probably find a new way to gatekeep. I view law as one of the 'AI safest' professions to pursue today (much safer than computer programming, by the way).

English
75
72
1.5K
115.3K
Maria Balgova retweetledi
Joanna Stern
Joanna Stern@JoannaStern·
Last month, Anthropic asked if I wanted to test its Claude-powered vending machine in our offices. One month later: The vending machine business is bankrupt, but morale is higher than ever, we have a free PlayStation—and a new pet fish!
Joanna Stern tweet media
English
62
200
3.6K
442.7K
Maria Balgova
Maria Balgova@BalgovaMaria·
@NewLeftEViews If a very unequal country had flat income tax & social security contributions, wouldn't the lines on both charts also be flat?
English
0
0
0
208
Maria Balgova retweetledi
Elena Pellegrini
Elena Pellegrini@Ele_Pellegrini·
🚨 Job Market Paper 🚨 Wealth Inequality and Labor Mobility: The Job Trap Does wealth affect workers’ ability to move to better jobs? Why do some remain stuck with low wages? My answer: The Job Security Premium Paper: elenapellegrini.github.io/JMP.pdf 1/12 #EconTwitter #EconJobMarket
Elena Pellegrini tweet media
English
8
82
375
84.5K
Maria Balgova retweetledi
Paul Novosad
Paul Novosad@paulnovosad·
What happens when online job applicants start using LLMs? It ain't good. 1. Pre-LLM, cover letter quality predicts your work quality, and a good cover gets you a job 2. LLMs wipe out the signal, and employer demand falls 3. Model suggests high ability workers lose the most 1/n
Paul Novosad tweet media
English
62
325
1.6K
852.8K
Maria Balgova
Maria Balgova@BalgovaMaria·
Why don't firms publish pay in their job adverts? We present the first experimental evidence on how (not) posting wages changes the applicant pool, and whether that gives firms a reason to hide wage info. Great short thread by my co-author Lukas + link to the full paper👇
Lukas Hensel 🇺🇦@LukasHenselEcon

🚨🚨New WP Alert (tinyurl.com/4sesthst)🚨🚨 @marcjosefwitte, @BalgovaMaria, @TsegayTselassie, and I have a new working paper using a field experiment to study the causal impact of pay information in job adverts on application numbers and applicant skills. A🧵

English
1
0
2
159
Maria Balgova retweetledi
Birthe Larsen
Birthe Larsen@BirtheLarsenCph·
We're hiring at the econ department at Copenhagen Business School. Please come work with my wunderful colleagues and/or me on a tenure-track assistant professorship at @CBScph . All fields considered. Apply through EJM. econjobmarket.org/positions/11960
English
1
1
2
397
Maria Balgova retweetledi
Stefan Schubert
Stefan Schubert@StefanFSchubert·
Sweden has reliable statistics unusually far back in time, which makes it a useful country to look at for long-running trends. @StatsSweden shows >40 mums are not a new phenomenon: in the late 1800s, 12% of children were born to women >40, compared with 5% today.
Stefan Schubert tweet media
English
60
120
1K
122.2K

Keşfet

@indeed @bankofengland @simon_jaeger @PrincetonEcon @Princeton @WZB_Berlin @CornellEcon @Cornell