A Firm Link: Overall, Between- and Within-Firm Inequality Through the Lens of a Sorting Model
Pawe{\l} Gola, Yuejun Zhao

TL;DR
This paper introduces a new analytical sorting model linking overall wage inequality with between-firm inequality, showing their co-movement and applying it to Norwegian data to interpret inequality trends.
Contribution
It develops a frictionless, two-sided heterogeneity sorting model that analytically explains the co-movement of overall and between-firm wage inequality, a novel theoretical contribution.
Findings
Overall and between-firm inequality are closely linked in the model.
Rising span-of-control costs primarily drove wage inequality increases from 1995 to 2014.
Welfare inequality increased due to skill variance, despite apparent wage inequality decreases after 2015.
Abstract
This paper provides a new theory of the observed co-movement between overall wage inequality and its between-firm component. We develop and solve analytically a frictionless sorting model with two-sided heterogeneity, in which firms consist of distributions of tasks, choose how many workers to employ and reward their workers both through wages and amenities. We show that, for empirically-relevant parameter ranges, overall and between-firm inequality are firmly linked: A change in any of the models' primitives increases overall wage inequality if and only if it also increases the ratio of between-firm to overall inequality. Subsequently, we calibrate the model to match the Norwegian economy and find that the increase in wage inequality from 1995 to 2014 had a different primary cause (raising span-of-control cost) than the accompanying rise in welfare inequality (increased skill…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFirm Innovation and Growth
