What Drives Firms’ Hiring Decisions? An Asset Pricing Perspective

A-Tier
Journal: The Review of Financial Studies
Year: 2023
Volume: 36
Issue: 9
Pages: 3825-3860

Authors (5)

Frederico Belo (not in RePEc) Andres Donangelo (not in RePEc) Xiaoji Lin (University of Minnesota) Ding Luo (not in RePEc) Stijn Van (not in RePEc)

Score contribution per author:

0.804 = (α=2.01 / 5 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We document that the aggregate hiring rate of publicly traded firms in the U.S. economy negatively predicts stock market returns and long-term cash flows, and positively predicts short-term cash flows. In addition, through a variance decomposition, we show that the time-series variation in the aggregate hiring rate is mainly driven by changes in discount rates and short-term expected cash flows, with no contribution from variation in long-term expected cash flows. We estimate a neoclassical dynamic model with labor market frictions and show that labor adjustment costs and time-varying risk are essential for the model to replicate the empirical patterns.Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Technical Details

RePEc Handle
repec:oup:rfinst:v:36:y:2023:i:9:p:3825-3860.
Journal Field
Finance
Author Count
5
Added to Database
2026-01-25