Publication Type

Journal Article

Book Title/Conference/Journal

Econometric Reviews

Year

1-2026

Abstract

This article investigates the relative importance of internal and external sources of funds in financing activities across different levels of investment activities by proposing a panel data quantile regression model with correlated random effects, accounting for heteroscedasticity in both firm-specific individuals and distribution of investment. A new estimation method, which takes the influence of disturbance into account, is proposed by using the integrated quasi-likelihood function for the conditional quantile model and Laplace approximation. The large sample theory for the proposed estimator and the corresponding asymptotic χ2 test are investigated. A Monte Carlo simulation is conducted to examine the finite sample performance of the proposed estimator. Finally, empirical results find strong evidence that the financing hierarchy of U.S. firms is in accordance with the first rung of the pecking order theory across all levels of investments from 10% to 90%, but for the second rung of the pecking order theory, only at 30% to 70% levels of investments.

Keywords

Correlated random effects, panel data, pecking order theory, quantile regression model, quasi-maximum likelihood estimator

Disciplines

Econometrics

Subject(s)

Applied or Integration/Application Scholarship

ISSN/ISBN

0747-4938

Publisher

Taylor and Francis Group

DOI

10.1080/07474938.2025.2561261

Version

publishedVersion

Language

eng

Format

application/PDF

Additional URL

https://doi.org/10.1080/07474938.2025.2561261

Download

Included in

Econometrics Commons

Share

COinS