Seemlingly unrelated estimation and the cluster-adjusted sandwich estimator

A-Tier
Journal: The Review of Financial Studies
Year: 2021
Volume: 34
Issue: 5
Pages: 2508-2548

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

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

Abstract

We analyze a multiyear, multicountry entrepreneurship survey with more than one million observations to identify startups with low and high growth potential. We confirm the validity of these ex ante measures with ex post firm-level information on employment growth. We find that negative aggregate financial shocks reduce all startup types, but their effect is significantly stronger for startups with high growth potential, especially when GDP growth is low. Our results uncover a new composition of entry channel that significantly reduces employment growth and is potentially important for explaining slow recoveries after financial crises.

Technical Details

RePEc Handle
repec:oup:rfinst:v:34:y:2021:i:5:p:2508-2548.
Journal Field
Finance
Author Count
2
Added to Database
2026-01-24