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Meta-analysis data for the literature on dividend smoothing
1University of Mannheim, Finance Area, L 9, 1-2, Germany.
This study analyzes dividend smoothing using Lintner
Area of Science:
- Empirical Finance
- Corporate Finance
Background:
- Dividend smoothing is a key corporate finance concept.
- Lintner's dividend payout model is widely used to study dividend smoothing.
- Existing research has not synthesized findings across diverse studies.
Purpose of the Study:
- To compile a comprehensive dataset on dividend smoothing research.
- To facilitate meta-regression analysis of factors influencing dividend smoothing.
- To provide a foundation for understanding drivers of dividend smoothing.
Main Methods:
- Data compilation from 100 empirical studies (1957-2016).
- Inclusion of dividend smoothing estimates and study design characteristics.
- Dataset linked to a meta-regression analysis of the Lintner model.
Main Results:
- The dataset captures variations in dividend smoothing estimates.
- It includes details on study periods, firm types, and econometric methods.
- Provides a rich resource for meta-analysis on dividend smoothing determinants.
Conclusions:
- The compiled dataset is crucial for meta-analysis of dividend smoothing.
- It enables deeper insights into the Lintner model and its extensions.
- Facilitates future research on corporate dividend policies.
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