Spatial econometrics qualitative and limited dependent variables - Baltagi, Badi H.; Lesage,James P.; R.Kelly Pace (Bingley, UK : Emerald Group Publishing Limited, 2017)
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 / R. Kelley Pace and James P. LeSage --Likelihood evaluation of high-dimensional spatial latent Gaussian models with non-Gaussian response variables / Roman Liesenfeld, Jean-Franfois Richard and Jan Vogler --The impact of storms on firm survival: a Bayesian spatial econometric model for firm survival / Mihaela Craioveanu and Dek Terrell --Bayesian spatial bivariate panel probit estimation / Badi H. Baltagi, Peter H. Egger and Michaela Kesina --Estimating binary spatial autoregressive models for rare events / Raffaella Calabrese and Johan A. Elkink --A multivariate spatial analysis for anticipating new firm counts / Yiyi Wang, Kara M. Kockelman and Paul Damien --A multivariate spatial-time of day analysis of truck crash frequency across neighborhoods in New York City / Wei Zou, Xiaokun Wang and Yiyi Wang --Group interaction in research and the use of general nesting spatial models / Peter Burridge, J. Paul Elhorst and Katarina Zigova --How to measure spillover effects of public capital stock a spatial autoregressive stochastic frontier model / Jaepil Han, Deockhyun Ryu and Robin Sickles --Local marginal analysis of spatial data: a Gaussian process regression approach with Bayesian model and kernel averaging / Jacob Dearmon and Tony E. Smith -- City and industry network impacts on innovation by Chinese manufacturing firms: a hierarchical spatial-interindustry model / Yuxue Sheng and James P. LeSage.
Keywords: Spatial Analysis(Statistics); Econometrics