
Labour economist studying geography of jobs, matching, and pay at @BankofEngland. @OxfordEconDept PhD, @iza_bonn fellow, made in 🇸🇰
London, UK
Joined November 2018
- Tweets465
- Following453
- Followers846
- Likes2.1K
Maria Balgova retweeted
In case you're excited about labor economics and are considering a predoc: please come and work with my wonderful colleagues and me at the @Princeton @PrincetonEcon Industrial Relations Section. Please spread the word! 🙏👇 irs.princeton.edu/senior-res…
Maria Balgova retweeted
Come be my colleague! Cleveland Fed is hiring a research economist. Applied micro especially encouraged (by me) to apply: econjobmarket.org/positions/…
Maria Balgova retweeted
Researchers are using things like LinkedIn data to study labour markets. But an interesting new @nberpubs working paper out today shows people retroactively edit how they describe a previous job in LinkedIn. Here are three cool graphs from the paper
Maria Balgova retweeted
Inspired by the below piece, I plotted the nr of applicants to “The Knowledge” – the intense exam to become a London cab driver. Even though we now have Uber + Waymo’s being trained, it has never been higher!
If you think your profession is dying, it could soon be gone ft.trib.al/CXkBrvx
New CEPR Discussion Paper - DP21699
Job Ads as Signals: Evidence from a Priced Amenity and Worker Beliefs
Pawel Pawel Adrjan @indeed, Mária Balgová @bankofengland, Simon Jäger @simon_jaeger @PrincetonEcon @Princeton, Jonas Jessen @WZB_Berlin, Jason Sockin @CornellEcon @Cornell
ow.ly/qc5w50ZkFya
#CEPR_LE #EconTwitter
Maria Balgova retweeted
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
Maria Balgova retweeted
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)
Replying to @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.
Maria Balgova retweeted
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!
📣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-da…
Maria Balgova retweeted
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.
Maria Balgova retweeted
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/
Maria Balgova retweeted
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
Maria Balgova retweeted
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.
Maria Balgova retweeted
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/cosmos…
Maria Balgova retweeted
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.
Maria Balgova retweeted
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!
Maria Balgova retweeted
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
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).
Maria Balgova retweeted
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!
Maria Balgova retweeted
🚨 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/JM…
1/12 #EconTwitter #EconJobMarket
Maria Balgova retweeted
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
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👇
🚨🚨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. Ađź§µ










































