Semiparametric Maximum Likelihood Estimates of Spatial Dependence

By R. Kelley Pace, James Paul LeSage. 2002

54 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/1badf9bc64bc0aeb156335a5312719e8b51b1d5d

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. Nicolas Debarsy
2. James Paul LeSage
3. Solmaria Halleck Vega
4. Luc Anselin
5. J. Paul Elhorst
6. Martin Feldkircher
7. Jesús Crespo Cuaresma
8. Gianfranco Piras

In Global and Planetary Change

1. Nicolas Debarsy
2. James Paul LeSage

Citations in the corpus

• Bayesian Model Averaging for Spatial Autoregressive Models Based on Convex Combinations of Different Types of Connectivity Matrices (2020, methodology): “…the scaling issue that arises in the case of generalized distance using an approach set forth in Debarsy and LeSage (2018) that relies on convex combinations of different connectivity matrices to form a single weight matrix, first explored by Pace and LeSage (2002) as well as Hazır et al. (2018).”
• The Gravity Model for International Trade: Specification and Estimation Issues (2015, unknown): “where the diagonal scaling matrix D is calculated iteratively in order to make Wn doubly stochastic (Pace and LeSage 2002).”