Estimating a spatial autoregressive model with an endogenous spatial weight matrix

By X. Qu, Lung-fei Lee. 2015

299 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/63e0ad60fc7a2e71014f554198e371f7d869d64d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Yiguo Sun
2. Xingbai Xu
3. Lung-fei Lee
4. Xiaodong Liu
5. Zhenlin Yang
6. Jihai Yu
7. Liangjun Su
8. Peter M. Robinson

Citations in the corpus

• The Slx Model (2015, unknown): “C© 2015 Wiley Periodicals, Inc. Kelejian and Piras, 2014; Qu and Lee, 2015).”
• Maximum likelihood estimation of a spatial autoregressive Tobit model (2015, methodology): “We will use a strategy in Qu and Lee (2013a).”
• Functional-coefficient spatial autoregressive models with nonparametric spatial weights (2016, methodology): “Qu and Lee (2015), on the other hand, consider a multiplicative spatial weight function in the form of g (aij; bij) = g1 (aij) g2 (bij), where aij is an exogenous geographic distance, bij is calculated from an endogenous economic variable, and both g1 ( ) and g2 ( ) are assumed to be known.”