Quasi maximum likelihood estimation of linear dynamic short-T panel-data models

被引:77
|
作者
Kripfganz, Sebastian [1 ]
机构
[1] Univ Exeter, Sch Business, Exeter, Devon, England
来源
STATA JOURNAL | 2016年 / 16卷 / 04期
关键词
st0463; xtdpdqml; dynamic panel data; random effects; fixed effects; short-T bias; quasi-maximum likelihood estimation; initial observations; unbalanced panel data; SHORT-TIME PERIODS; ERROR-COMPONENTS; BIAS CORRECTION; SPECIFICATION; TESTS;
D O I
10.1177/1536867X1601600411
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
In this article, I describe the xtdpdqml command for the quasi maximum likelihood estimation of linear dynamic panel-data models when the time horizon is short and the number of cross-sectional units is large. Based on the theoretical groundwork by Bhargava and Sargan (1983, Econometrica 51: 1635-1659) and Hsiao, Pesaran, and Tahmiscioglu (2002, Journal of Econometrics 109: 107-150), the marginal distribution of the initial observations is modeled as a function of the observed variables to circumvent a short-T dynamic panel-data bias. Both random-effects and fixed-effects versions are available.
引用
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页码:1013 / 1038
页数:26
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