Mundlak estimators for three-dimensional panel data models

IF 1.8 4区 经济学 Q2 ECONOMICS
Economics Letters Pub Date : 2026-03-01 Epub Date: 2026-02-18 DOI:10.1016/j.econlet.2026.112842
Xun Lu , Liangjun Su
{"title":"Mundlak estimators for three-dimensional panel data models","authors":"Xun Lu ,&nbsp;Liangjun Su","doi":"10.1016/j.econlet.2026.112842","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we demonstrate the numerical equivalence between the within estimator and the Mundlak estimator for widely used three-dimensional (3D) balanced panel data models. The Mundlak estimator is obtained from the OLS regression, including relevant sample averages as additional regressors. This suggests that the three estimation methods, namely, within, Mundlak, and least squares dummy variable (LSDV), produce numerically identical estimates for balanced 3D models.</div></div>","PeriodicalId":11468,"journal":{"name":"Economics Letters","volume":"262 ","pages":"Article 112842"},"PeriodicalIF":1.8000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economics Letters","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165176526000364","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/18 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we demonstrate the numerical equivalence between the within estimator and the Mundlak estimator for widely used three-dimensional (3D) balanced panel data models. The Mundlak estimator is obtained from the OLS regression, including relevant sample averages as additional regressors. This suggests that the three estimation methods, namely, within, Mundlak, and least squares dummy variable (LSDV), produce numerically identical estimates for balanced 3D models.
三维面板数据模型的Mundlak估计量
在本文中,我们证明了广泛使用的三维(3D)平衡面板数据模型的内估计量和Mundlak估计量之间的数值等价性。蒙德拉克估计量由OLS回归得到,包括相关样本平均值作为附加回归量。这表明,三种估计方法,即内、蒙德拉克和最小二乘虚拟变量(LSDV),对平衡三维模型产生数值上相同的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Economics Letters
Economics Letters ECONOMICS-
CiteScore
3.20
自引率
5.00%
发文量
348
审稿时长
30 days
期刊介绍: Many economists today are concerned by the proliferation of journals and the concomitant labyrinth of research to be conquered in order to reach the specific information they require. To combat this tendency, Economics Letters has been conceived and designed outside the realm of the traditional economics journal. As a Letters Journal, it consists of concise communications (letters) that provide a means of rapid and efficient dissemination of new results, models and methods in all fields of economic research.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书