Keep it simple: estimation strategies for ordered response models with fixed effects

被引：71

作者：

Riedl, Maximilian ^{[1
]}

Geishecker, Ingo ^{[2
]}

机构：

[1] Univ Gottingen, Fac Econ Sci, D-37073 Gottingen, Germany

[2] European Univ Viadrina, Fac Business Adm & Econ, Frankfurt, Oder, Germany

来源：

JOURNAL OF APPLIED STATISTICS | 2014年 / 41卷 / 11期

关键词：

fixed effects ordered logit; ordered responses; finite sample properties; Monte Carlo simulation; happiness; LIFE SATISFACTION; UNEMPLOYMENT; INSECURITY; BIAS;

D O I：

10.1080/02664763.2014.909969

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

By running Monte Carlo simulations, we compare different estimation strategies of ordered response models in the presence of non-random unobserved heterogeneity. We find that very simple binary recoding schemes deliver parameter estimates with very low bias and high efficiency. Furthermore, if the researcher is interested in the relative size of parameters the simple linear fixed effects model is the method of choice.

引用

页码：2358 / 2374

页数：17

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