Maria Balgova
banner
balgovamaria.bsky.social
Maria Balgova
@balgovamaria.bsky.social
Labour economist studying geography of jobs, matching, and pay. Researcher at Bank of England, Oxford PhD, IZA Fellow, made in 🇸🇰.

https://sites.google.com/view/mariabalgova
(iii) within cities, increase in migration inflows and increase in wages should be concentrated in the same occupations

I find that this is true for Craigslist cities but not for control cities, where the relationship is negative - driven by labour supply rather than by better matching.
November 16, 2023 at 9:53 AM
Given these patterns in baseline recruitment, we'd expect

(i) Craigslist to have larger impact in occupations with high non-local recruitment in 1990

(ii) the impact to be larger for higher wages where the quality of match often matters most

This is exactly what I find!
November 16, 2023 at 9:53 AM
The data shows that firms recruit non-locally to find specific talent rather than to hire cheaply:

- non-local vacancies are posted in large markets with higher wages & lower-unemployment

- firms target markets which specialise in the occupation they’re searching for
November 16, 2023 at 9:52 AM
At the same time, average wages in the treated cities went up by about 0.8% annually, putting an end to convergence in pay.
November 16, 2023 at 9:51 AM
I find that Craigslist entry into a city significantly increased geographic mobility in and out of the city.

Looking at changes in bilateral city-to-city migration flows, almost all of the increase in migration churn is driven by greater mobility between Craigslist cities.
November 16, 2023 at 9:50 AM
Excited to share my new WP (which also happens to be my job market paper!)

How does online recruitment impact the geography of the labour market?

Full paper here sites.google.com/view/mariaba...

and a thread below:
November 16, 2023 at 9:48 AM
That's the next question!

However, I can share one graph (that didn't make it into the paper) that gets us a bit closer to answering this: the share of non-local recruitm. in 1990 is highly predictive of recruitm. online in 2015, with convexity at the top end - more polarisation across occupations
November 16, 2023 at 9:39 AM