A two-part fractional regression model for the financial leverage decisions of micro, small, medium and large firms
AbstractIn this paper we examine the following two hypotheses which traditional theories of capital structure are relatively silent about: (i) the determinants of financial leverage decisions are different for micro, small, medium and large firms; and (ii) the factors that determine whether or not a firm issues debt are different from those that determine how much debt it issues. Using a binary choice model to explain the probability of a firm raising debt and a fractional regression model to explain the relative amount of debt issued, we find strong support for both hypotheses. Confirming recent empirical evidence, we find also that, although larger firms are more likely to use debt, conditional on having some debt firm size is negatively related to the proportion of debt used by firms.
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Bibliographic InfoPaper provided by University of Évora, Department of Economics (Portugal) in its series Economics Working Papers with number 9_2006.
Length: 32 pages
Date of creation: 2006
Date of revision:
capital structure; financial leverage; zero leverage; micro firms; SMEs; fractional data; two-part model;
Other versions of this item:
- Joaquim J.S. Ramalho & Jacinto Vidigal da Silva, 2009. "A two-part fractional regression model for the financial leverage decisions of micro, small, medium and large firms," Quantitative Finance, Taylor & Francis Journals, vol. 9(5), pages 621-636.
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-07-02 (All new papers)
- NEP-CFN-2006-07-02 (Corporate Finance)
- NEP-ENT-2006-07-02 (Entrepreneurship)
- NEP-FIN-2006-07-02 (Finance)
- NEP-FMK-2006-07-02 (Financial Markets)
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