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

Maximilian Riedl; Ingo Geishecker

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

机译：保持简单：具有固定效果的有序响应模型的估计策略

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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.

机译：通过运行蒙特卡洛模拟，我们比较了存在非随机未观察到的异质性时有序响应模型的不同估计策略。我们发现非常简单的二进制记录方案可以以非常低的偏差和高效率提供参数估计。此外，如果研究人员对参数的相对大小感兴趣，则可以选择简单的线性固定效应模型。

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来源
《Journal of applied statistics》 |2014年第12期|2358-2374|共17页
作者
Maximilian Riedl; Ingo Geishecker;
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作者单位

Faculty of Economic Sciences, Georg-August-Universitaet Goettingen, Goettingen, Germany;

Faculty of Business Administration and Economics, European University Viadrina, Frankfurt (Oder), Germany;

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原文格式 PDF
正文语种 eng
中图分类
关键词
fixed effects ordered logit; ordered responses; finite sample properties; Monte Carlo simulation; happiness;

机译：固定效果有序logit;有序的回应;有限的样品特性;蒙特卡罗模拟;幸福;

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

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