Two-step hierarchical estimation: Beyond regression analysis

被引：63

作者：

Achen, CH ^{[1
]}

机构：

[1] Princeton Univ, Dept Polit, Princeton, NJ 08544 USA

来源：

POLITICAL ANALYSIS | 2005年 / 13卷 / 04期

关键词：

D O I：

10.1093/pan/mpi033

中图分类号：

D0 [政治学、政治理论];

学科分类号：

0302 ; 030201 ;

摘要：

Two-step estimators for hierarchical models can be constructed even when neither stage is a conventional linear regression model. For example, the first stage might consist of probit models, or duration models, or event count models. The second stage might be a nonlinear regression specification. This note sketches some of the considerations that arise in ensuring that two-step estimators are consistent in such cases.

引用

页码：447 / 456

页数：10

共 19 条

[1] Pooling disparate observations [J].