University of Western Ontario
Colombian 🇨🇴 + UMN PHD
https://sites.google.com/site/sergiocampod
This year's keynote is Kjetil Storesletten @hellerhurwicz.bsky.social
Program 👉 baxter-robinson.github.io/CMSG2025_Pro...
Registration is 100 CAD (70 for students!) 🔗https://economics.uwo.ca/about-us/workshops/index.html
This year's keynote is Kjetil Storesletten @hellerhurwicz.bsky.social
Program 👉 baxter-robinson.github.io/CMSG2025_Pro...
Registration is 100 CAD (70 for students!) 🔗https://economics.uwo.ca/about-us/workshops/index.html
We also look at the effect of non-store retailers (like Amazon): They have a limited impact in our sample (except for products like toys and electronics).
We also look at the effect of non-store retailers (like Amazon): They have a limited impact in our sample (except for products like toys and electronics).
Before 2002, it is the expansion of large multi-market retailers that drives concentration, as these retailers opened up stores in new locations.
After 2002, it is consolidation within markets that drives concentration.
Before 2002, it is the expansion of large multi-market retailers that drives concentration, as these retailers opened up stores in new locations.
After 2002, it is consolidation within markets that drives concentration.
In retail, firms compete across industries because stores of different ind. sell the same goods. Think Walmart selling groceries and clothing.
We address this by tabulating the *sales of retail stores by product*, to assign them to *product markets*
In retail, firms compete across industries because stores of different ind. sell the same goods. Think Walmart selling groceries and clothing.
We address this by tabulating the *sales of retail stores by product*, to assign them to *product markets*
1992-2012👉Probability that two random dollars spent on a product anywhere in the United States are spent at the same firm increased by 3p.p.
Local (commuting zone) concentration
increased by 2.2p.p., from 6.4 to 8.6.
Larger increases for Ind. markets!
1992-2012👉Probability that two random dollars spent on a product anywhere in the United States are spent at the same firm increased by 3p.p.
Local (commuting zone) concentration
increased by 2.2p.p., from 6.4 to 8.6.
Larger increases for Ind. markets!
Census data👉*National and local* concentration increased 1982-2012
Trends hold for product and industry markets
🔗https://www.aeaweb.org/articles?id=10.1257/mac.20220249
@aeajournals.bsky.social
Census data👉*National and local* concentration increased 1982-2012
Trends hold for product and industry markets
🔗https://www.aeaweb.org/articles?id=10.1257/mac.20220249
@aeajournals.bsky.social
It was posting this or finishing my grant application... and here we are!
It was posting this or finishing my grant application... and here we are!
Checkout their researchers (and their publications)!
👉 www.iadb.org/en/knowledge...
(Picture from morning run)
Checkout their researchers (and their publications)!
👉 www.iadb.org/en/knowledge...
(Picture from morning run)
Also to the sporadic (but so worth it!) What Roman Mars can Learn About Con Law w/ Pr. Elizabeth Joh
🔗podcasts.apple.com/ca/podcast/more-perfect/id1117202653
🔗podcasts.apple.com/ca/podcast/what-roman-mars-can-learn-about-con-law/id1242537529
Also to the sporadic (but so worth it!) What Roman Mars can Learn About Con Law w/ Pr. Elizabeth Joh
🔗podcasts.apple.com/ca/podcast/more-perfect/id1117202653
🔗podcasts.apple.com/ca/podcast/what-roman-mars-can-learn-about-con-law/id1242537529