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Meta-analysis data for the literature on dividend smoothing.


ABSTRACT: The dataset presented in this data article was compiled from 100 published and unpublished empirical studies that employed Lintner?s dividend payout model or related extensions over the period 1957-2016. Besides the reported degree of dividend smoothing and its estimation precision the data include a wide set of underlying study design characteristics such as the time period of analysis, the type of firms investigated or the econometric estimator employed. The data are related to the research article "What drives dividend smoothing? A meta-regression analysis of the Lintner model" (Fernau and Hirsch, 2018).

SUBMITTER: Fernau E 

PROVIDER: S-EPMC6362866 | biostudies-other | 2019 Feb

REPOSITORIES: biostudies-other

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Meta-analysis data for the literature on dividend smoothing.

Fernau Erik E   Hirsch Stefan S  

Data in brief 20190106


The dataset presented in this data article was compiled from 100 published and unpublished empirical studies that employed Lintner׳s dividend payout model or related extensions over the period 1957-2016. Besides the reported degree of dividend smoothing and its estimation precision the data include a wide set of underlying study design characteristics such as the time period of analysis, the type of firms investigated or the econometric estimator employed. The data are related to the research ar  ...[more]

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