Spatial econometrics : qualitative and limited dependent variables / edited by Badi H. Baltagi, Syracuse University, Syracuse, NY, USA ; James P. LeSage, Texas State University, San Marcos, TX, USA ; R. Kelley Pace, Louisiana State University, Baton Rouge, LA, USA.

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Bibliographic Details
Other Authors:	Baltagi, Badi H. (Badi Hani) (Editor), LeSage, James P. (Editor), Pace, R. Kelley (Editor)
Format:	Book
Language:	English
Published:	Bingley, UK : Emerald Group Publishing Limited, 2017.
Edition:	First edition
Series:	Advances in econometrics ; v. 37.
Subjects:	Econometrics. Spatial analysis (Statistics)

Table of Contents:

Progress in spatial modeling of discrete and continuous dependent variables
Fast simulated maximum likelihood estimation of the spatial probit model capable of handling large samples
Likelihood evaluation of high-dimensional spatial latent Gaussian models with non-Gaussian response variables
The impact of storms on firm survival: a Bayesian spatial econometric model for firm survival
Bayesian spatial bivariate panel probit estimation
Estimating binary spatial autoregressive models for rare events
A multivariate spatial analysis for anticipating new firm counts
A multivariate spatial-time of day analysis of truck crash frequency across neighborhoods in New York City
Group interaction in research and the use of general nesting spatial models
How to measure spillover effects of public capital stock a spatial autoregressive stochastic frontier model
Local marginal analysis of spatial data: a Gaussian process regression approach with Bayesian model and kernel averaging
City and industry network impacts on innovation by Chinese manufacturing firms: a hierarchical spatial-interindustry model.

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