Semiparametric maximum likelihood estimates of spatial dependence

Geographical Analysis

Volumn 34, Issue 1, 2002, Pages 76-90

  Pace, R Kelley ^a   LeSage, James P ^b  

^a LOUISIANA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF TOLEDO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HOUSING MARKET; MAXIMUM LIKELIHOOD ANALYSIS; METHODOLOGY; SPATIAL ANALYSIS;

EID: 0036198062     PISSN: 00167363     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1538-4632.2002.tb01076.x     Document Type: Article

References (25)

1. A Monte Carlo estimator of the log determinant of large sparse matrices
2. Models for spatial weights: A systematic look
3. Applying the generalized-moments estimation approach to spatial problems involving microlevel data
4. Estimating optimal transformations for multiple regression and correlation
5. Geometric understanding of likelihood ratio statistics
6. On the Harrison and Rubinfield data
7. Estimating spatial autoregressive model parameters with commercial statistical packages
8. On the quality of likelihood-based estimators in spatial autoregressive models when the data neighborhood structure is misspecified
9. Trade-offs associated with normalizing constant computational simplifications for estimating spatial statistical models
10. Hedonic prices and the demand for clean air
11. Estimation for dirty data and flawed models
12. Assessing normality in random effects models
13. Approximation to the determinant in Gaussian maximum likelihood estimation of some spatial models
14. Quick computation of regressions with a spatially autoregressive dependent variable
15. Closed-form maximum likelihood estimates of nearest neighbor spatial dependence
16. The likelihood dominance criterion: A new approach to model selection
17. Multivariate models of dependent spatial data
18. Robust regression in the presence of heteroskedasticity
19. A variance stablizing scheme for spatial link matrices