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Journal of Accounting and Economics Vol. 30 No. 3 2000

Analyst following and count-data econometrics

Steve Rock1; Stanley Sedo2; Michael Willenborg3

1 University of Colorado Boulder · 2 University of Michigan–Ann Arbor · 3 University of Connecticut

Abstract

This paper reexamines the determinants of the number of analysts following a firm using econometric models based on count distributions. We replicate Bhushan's (1989) analyst-following study to demonstrate the effects of using count-data econometrics, in lieu of OLS, in studying phenomena where the dependent variable ranges among nonnegative integers. In contrast with the original paper, our findings indicate the number of institutional investors is inversely related with analyst following. We also provide econometric evidence to support the preferred use of the negative binomial model in estimating cross-sectional, analyst-following regressions.

DOI
10.1016/s0165-4101(01)00012-x
Volume
30
Issue
3
Pages
351-373
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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