Estimation of Fractional Dependent Variables in Dynamic Panel Data Models With an Application to Firm Dividend Policy
Bibliographic Data
| ID | 19418193 |
|---|---|
| Authors | Margaret S Loudermilk, Margaret Loudermilk (University of Illinois Chicago, corresponding author) |
| Year | 2007 |
| Volume | 25 |
| Issue | 4 |
| Pages | 462-472 |
| Publication date | 2007-10-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Business and Economic Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0735-0015 • E-ISSN: 1537-2707 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1198/073500107000000098 |
| OpenAlex | W2024917246 |
| Language | EN |
| Citations received | 4 |
| References cited | 23 |
Fractional dependent variables and models with state dependence arise in many economic applications; however, estimating models with fractional dependent variables is complicated by the presence of two corner solution outcomes. When coupled with a dynamic panel data setting, estimating quantities of interest can be quite complex or computationally difficult. This article demonstrates a method for estimating fractional response variables, which is easy to implement, and presents an application of the technique to the determination of firm dividend policy. The estimation demonstrates that neglecting dynamics, unobserved heterogeneity, or the doubly censored nature of the dependent variable can generate misleading conclusions.KEY WORDS: Doubly censoredDual-corner solutionNonlinear modelTobit
Dividend · Econometrics · Economics · Estimation · Panel data · State variable · Statistics · Variables · Computer Science · Corporate Finance and Governance · Efficiency Analysis Using DEA · Firm Innovation and Growth · Mathematics · Finance
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| Citations per year | 0.22 |
|---|---|
| Citation span | 2008 - 2023 (16) |
| Highly cited | No |