https://sites.google.com/view/mariabalgova
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.
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.
(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!
(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!
- 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
- 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
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.
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.
How does online recruitment impact the geography of the labour market?
Full paper here sites.google.com/view/mariaba...
and a thread below:
How does online recruitment impact the geography of the labour market?
Full paper here sites.google.com/view/mariaba...
and a thread below:
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
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