Meta-analysis data for the literature on dividend smoothing

Erik Fernau; Stefan Hirsch

doi:10.1016/j.dib.2019.01.002

Meta-analysis data for the literature on dividend smoothing

Erik Fernau, Stefan Hirsch

Assistant Professorship of Agribusiness and Food Industry Economics (2018 — 2023)

University of Mannheim

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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The dataset presented in this data article was compiled from 100 published and unpublished empirical studies that employed Lintner׳s dividend payout model or related extensions over the period 1957–2016.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).

Original language	English
Pages (from-to)	815-820
Number of pages	6
Journal	Data in Brief
Volume	22
DOIs	https://doi.org/10.1016/j.dib.2019.01.002
State	Published - Feb 2019

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10.1016/j.dib.2019.01.002

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abstract = "The dataset presented in this data article was compiled from 100 published and unpublished empirical studies that employed Lintner׳s dividend payout model or related extensions over the period 1957–2016.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).",

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Meta-analysis data for the literature on dividend smoothing

Abstract

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