What drives dividend smoothing? A meta regression analysis of the Lintner model
Erik Fernau and
International Review of Financial Analysis, 2019, vol. 61, issue C, 255-273
We revisit the view of dividend smoothing as one of the most robust findings in the empirical corporate finance literature by employing meta-regression analysis (MRA). Using 99 empirical studies that employ Lintner's dividend payout model we investigate the heterogeneity in reported dividend smoothing effects. We find evidence for (i) a mediocre degree of dividend smoothing across the analyzed literature, (ii) bi-directional publication bias -i.e. a tendency to preferably report positive and statistically significant smoothing as well as dividend smoothing coefficients close to zero (i.e. high speed of adjustment coefficients), and (iii) several drivers for the heterogeneity in reported smoothing coefficients such as the set of control variables or estimation technique. Our MRA can provide guidance for investors' expectations and future research on dividend smoothing.
Keywords: Meta regression analysis; Dividend smoothing; Lintner model; Publication bias (search for similar items in EconPapers)
JEL-codes: C83 G32 G35 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:61:y:2019:i:c:p:255-273
Access Statistics for this article
International Review of Financial Analysis is currently edited by B.M. Lucey
More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().