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

Data Brief. 2019 Jan 6:22:815-820. doi: 10.1016/j.dib.2019.01.002. eCollection 2019 Feb.

Authors

Erik Fernau¹, Stefan Hirsch²

Affiliations

¹ University of Mannheim, Finance Area, L 9, 1-2, Germany.
² Technical University of Munich, School of Management, Germany.

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The dataset presented in this data article was compiled from 100 published and unpublished empirical studies that employed Lintner׳s dividend payout model or related extensions over the period 1957-2016.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