Tests for normality in linear panel-data models

被引:15
|
作者
Alejo, Javier [1 ]
Galvao, Antonio [2 ]
Montes-Rojas, Gabriel [3 ]
Sosa-Escudero, Walter [3 ]
机构
[1] Univ La Plata, Ctr Distribut Labor & Social Sci, Fac Ciencias Econ, Natl Sci & Tech Res Council CONICET, La Plata, Buenos Aires, Argentina
[2] Univ Iowa, Iowa City, IA USA
[3] Univ San Andres CONICET, Victoria, Argentina
来源
STATA JOURNAL | 2015年 / 15卷 / 03期
关键词
st0406; xtsktest; skewness; kurtosis; normality; panel data; ERROR-COMPONENTS; INVESTMENT; SKEWNESS; KURTOSIS;
D O I
10.1177/1536867X1501500314
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
We propose a new command, xtsktest, for explaining nonnormalities in linear panel-data models. The command performs tests to explore skewness and excess kurtosis, allowing researchers to identify departures from Gaussianity in both error components of a standard panel regression, separately or jointly. The tests are based on recent results by Galvao et al. (2013, Journal of Multivariate Analysis 122: 35-52) and extend the classical Jarque-Bera normality test for the case of panel data.
引用
收藏
页码:822 / 832
页数:11
相关论文
共 50 条