A spatial panel autoregressive model specification with inverse quantile separation distances of locations
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Anselin, 2003, Spatial externalities, spatial multipliers, and spatial econometrics, Int. Reg. Sci. Rev., 26, 153, 10.1177/0160017602250972
Anselin, 2004
Arab, 2006, Hierarchical spatial models, 1
Bai, 2012, Joint composite estimating functions in spatiotemporal models, J. R. Stat. Soc. Ser. B Stat. Methodol., 74, 799, 10.1111/j.1467-9868.2012.01035.x
Baltagi, 2003
Banerjee, 2009
Bronowicka Mielniczuk, 2019, A comparison of some interpolation techniques for determining spatial distribution of nitrogen compounds in groundwater, Int. J. Environ. Res., 13, 679, 10.1007/s41742-019-00208-6
Cressie, 2011
Croissant, 2018, Panel data econometrics in R: The plm package, J. Stat. Softw., 27, 1
Cui, 2019, Spatiotemporal patterns and ecological factors of tuberculosis notification: A spatial panel data analysis in Guangxi, China, PLoS ONE, 14, 10.1371/journal.pone.0212051
Elhorst, 2011
Elhorst, 2014, Matlab software for spatial panels, Int. Reg. Sci. Rev., 37, 389, 10.1177/0160017612452429
Elhorst, J.P., Gross, M., Tereanu, E., 2018. Spillovers in Space and Time: Where Spatial Econometrics and Global VAR Models Meet. European Central Bank, Frankfurt. Working Paper Series No 2134.
Elhorst, 2017, The SLX model: Extensions and the sensitivity of spatial spillovers to W, Papeles Economía Española, 152, 34
Flitter, H., Weckenbrock, P., R., Weibel, Weismann, S., 2016. Continuous Spatial Variables. Geographic Information Technology Training alliance (GITTA) presents. URL http://www.gitta.info.
Isaaks, 1989
Kelley, 2000, A method for spatial-temporal forecasting with an application to real estate prices, International Journal of Forecasting 16, 2000, 229
Kissling, 2008, Spatial autocorrelation and the selection of simultaneous autoregressive models, Glob. Ecol. Biogeogr., 17, 59, 10.1111/j.1466-8238.2007.00334.x
Kosfeld, 2018, Spatial econometrics with R
Kostov, 2009, Model boosting for spatial weighting matrix selection in spatial lag models, Environ. Plan. B: Plan. Des. 2010, 37, 533, 10.1068/b35137
Kostov, 2012, 158240
Kumar, 2012, Hierarchical Bayesian autoregressive models for large space – time data with applications to ozone, Appl. Stoch. Models Bus. Ind.
Lee, 2004, Asymptotic distributions of quasi-maximum likelihood estimators for spatial autoregressive models, Econometrica, Wiley, 10.1111/j.1468-0262.2004.00558.x
Lee, 2010, Estimation of spatial autoregressive panel data models with fixed effects, J. Econometrics, 154, 165, 10.1016/j.jeconom.2009.08.001
Leeds, 2012, Science-based parameterizations for dynamical spatiotemporal models, Wiley Interdiscip. Rev. Comput. Stat., 4, 554, 10.1002/wics.1227
LeSage, 2013
LeSage, 2014, Spatial econometric panel data model specification: A Bayesian approach, Spatial Stat., 9, 122, 10.1016/j.spasta.2014.02.002
LeSage, 2009
LeSage, 2007, Bayesian model averaging for spatial econometric models, Geogr. Anal. Econ Pap., 84
LeSage, 2016
Matthews, 2013, Progress in spatial demography, Demographic Research, 28, 271, 10.4054/DemRes.2013.28.10
Millo, 2012, Splm: Spatial panel data models in R, J. Stat. Softw., 47, 1, 10.18637/jss.v047.i01
Munnell, 1990, Why has productivity growth declined? Productivity and public investment, New England Econ. Rev., 1990, 3
Pace, 2000, A method for spatio-temporal forecasting with an application to real estate prices, Int. J. Forecast., 16, 229, 10.1016/S0169-2070(99)00047-3
Sellner, 2009
Tobler, 1970, A computer movie simulating urban growth in the Detroit region, Econ. Geogr., 46, 234, 10.2307/143141
Wall, 2004, A close look at the spatial structure implied by the CAR and SAR models, J. Statist. Plann. Inference, 121, 311, 10.1016/S0378-3758(03)00111-3
