Functional form issues in the regression analysis of financial leverage ratios
Joaquim Ramalho () and
Jacinto António Setúbal Vidigal Silva ()
Additional contact information
Jacinto António Setúbal Vidigal Silva: Management Department, Évora University, and CEFAGE-UÉ
CEFAGE-UE Working Papers from University of Evora, CEFAGE-UE (Portugal)
Abstract:
Linear models are typically used in the regression analysis of capital structure choices. However, given the proportional and bounded nature of leverage ratios, models such as the tobit, the fractional regression model and its two-part variant are a better alternative. In this paper, we discuss the main econometric assumptions and features of those models, provide a theoretical foundation for their use in the regression analysis of leverage ratios and review some statistical tests suitable to assess their specification. Using a dataset previously considered in the literature, we carry out a comprehensive comparison of the alternative models, finding that in this framework the most relevant functional form issue is the choice between a single model for all capital structure decisions and a two-part model that explains separately the decisions to issue debt and, conditional on the first decision, on the amount of debt to issue.
JEL-codes: C25 G32 (search for similar items in EconPapers)
Pages: 42 pages
Date: 2011
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://api.cefage.uevora.pt/assets/788bf2ca-8fb7-461b-aba2-190dea54ac25 (application/pdf)
Related works:
Journal Article: Functional form issues in the regression analysis of financial leverage ratios (2013) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cfe:wpcefa:2011_28
Access Statistics for this paper
More papers in CEFAGE-UE Working Papers from University of Evora, CEFAGE-UE (Portugal) Contact information at EDIRC.
Bibliographic data for series maintained by Angela Pacheco ().