Gianfranco Piras
Gianfranco Piras
Associate Professor, The Catholic University of America
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Cited by
Cited by
Comparing implementations of estimation methods for spatial econometrics
R Bivand, G Piras
American Statistical Association, 2015
splm: Spatial panel data models in R
G Millo, G Piras
Journal of statistical software 47 (1), 1-38, 2012
Estimation of spatial models with endogenous weighting matrices, and an application to a demand model for cigarettes
HH Kelejian, G Piras
Regional Science and Urban Economics 46, 140-149, 2014
Growth and Convergence in a Multiregional Model with Space–Time Dynamics. 多区域时空动态模型的增长与收敛
P Elhorst, G Piras, G Arbia
Geographical Analysis 42 (3), 338-355, 2010
Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects
G Arbia, G Piras
ISAE Working Paper, 2005
Using spatial panel data in modelling regional growth and convergence
G Arbia, R Basile, G Piras
ISAE Working Paper, 2005
sphet: Spatial models with heteroskedastic innovations in R
G Piras
Journal of Statistical Software 35 (1), 1-21, 2010
On model specification and parameter space definitions in higher order spatial econometric models
JP Elhorst, DJ Lacombe, G Piras
Regional Science and Urban Economics 42 (1-2), 211-220, 2012
The journey to safety: conflict-driven migration flows in Colombia
N Lozano-Gracia, G Piras, AM Ib߽ez, GJD Hewings
International Regional Science Review 33 (2), 157-180, 2010
The European regional growth process revisited
S Dall'Erba, M Percoco, G Piras
Spatial Economic Analysis 3 (1), 7-25, 2008
Spatial econometrics
H Kelejian, G Piras
Academic Press, 2017
An extension of Kelejian's J-test for non-nested spatial models
HH Kelejian, G Piras
Regional Science and Urban Economics 41 (3), 281-292, 2011
The distributional effects of NAFTA in Mexico: Evidence from a panel of municipalities
K Baylis, R Gardu˝o-Rivera, G Piras
Regional Science and Urban Economics 42 (1-2), 286-302, 2012
Does evidence on regional economic convergence depend on the estimation strategy? Outcomes from analysis of a set of NUTS2 EU regions
G Arbia, J Le Gallo, G Piras
Spatial economic analysis 3 (2), 209-224, 2008
The built environment and depressive symptoms among urban youth: a spatial regression study
DT Duncan, G Piras, EC Dunn, RM Johnson, SJ Melly, BE Molnar
Spatial and spatio-temporal epidemiology 5, 11-25, 2013
Package ‘Spdep’: Spatial dependence: Weighting schemes, statistics and models
R Bivand, M Altman, L Anselin, R AssunšŃo, O Berke, A Bernat, ...
R package version 0.5–88 www. cran. r-project. org, 2015
Convergence in per-capita GDP across EU-NUTS2 regions using panel data models extended to spatial
G Piras, G Arbia
Statistica 67 (2), 157-172, 2007
Spatial J-test: some Monte Carlo evidence
G Piras, N Lozano-Gracia
Statistics and Computing 22 (1), 169-183, 2012
The welfare benefit of a home’s location: an empirical comparison of spatial and non-spatial model estimates
J Koschinsky, N Lozano-Gracia, G Piras
Journal of Geographical Systems 14 (3), 319-356, 2012
Service industry and cumulative growth in the regions of Europe
S Dall’erba, M Percoco, G Piras
Entrepreneurship and Regional Development 21 (4), 333-349, 2009
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