Automating the Selection of Model-Implied Instrumental Variables
By Kenneth A. Bollen, Daniel J. Bauer. 2004
53 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0ca8326f30bc9302d3089508c1bea493587d2d20
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Albert Maydeu-Olivares
- Kenneth A. Bollen
- Alexander Robitzsch
- Peter M. Bentler
- Denny Borsboom
- Alex J. Bowers
- Li Cai
- S. Monroe
In Management Science and Operations Research
- Albert Maydeu-Olivares
- Kenneth A. Bollen
- Dexin Shi
- Alexander Robitzsch
- Daniel A. Sass
- Holmes Finch
- Li Cai
- Peter M. Bentler
In Statistics and Probability
- Albert Maydeu-Olivares
- Kenneth A. Bollen
- Dexin Shi
- Carl F. Falk
- Cheng-Hsien Li
- Yves Rosseel
- J. Edwards
- Alexandre J. S. Morin
Citations in the corpus
- Endogeneity: A Review and Agenda for the Methodology-Practice Divide Affecting Micro and Macro Research (2020, unknown): “Bollen, 2019; Bollen & Bauer, 2004; Gates, Fisher, & Bollen, 2019 Exotic Techniques –”
- A Polychoric Instrumental Variable (PIV) Estimator for Structural Equation Models with Categorical Variables (2007, methodology): “It is possible to automate the selection of modelimplied IVs and Bollen and Bauer (2004) provide an algorithm and an SAS macro to do so.”
- EIGHT MYTHS ABOUT CAUSALITY AND STRUCTURAL EQUATION MODELS (2013, unknown): “13 by Elwert, this volume) or using the MIIV method of Bollen (1996; Bollen and Bauer 2004) reveals that y1 and y2 are still MIIV for y3 in the y4 equation, and we can apply the coefficient identity above as a local test.”