J.Paul Elhorst is professor in Regional Science, endowed by the foundation Leerstoel Regionale Economie (Groningen, Friesland, Drenthe), at the University of Groningen, the Netherlands. He has degrees in Economics (PhD, University of Amsterdam) and Econometrics (MSc, University of Amsterdam). He was awarded the Martin Beckmann Prize for the best paper in Papers in Regional Science 2007 and became the European editor of this journal in 2013. He has taught Spatial Econometrics courses in Groningen, Utrecht, Jönköping, Umea, Konstanz and Paris.

• Contents.- 1 Introduction.- 2 Linear Spatial Dependence Models.- for Cross-Section Data.- 3 Spatial Panel Data Models.- 4 Dynamic Spatial Panels: Models, Methods and Inferences.- References.

J.Paul Elhorst is professor in Regional Science, endowed by the foundation Leerstoel Regionale Economie (Groningen, Friesland, Drenthe), at the University of Groningen, the Netherlands. He has degrees in Economics (PhD, University of Amsterdam) and Econometrics (MSc, University of Amsterdam). He was awarded the Martin Beckmann Prize for the best paper in Papers in Regional Science 2007 and became the European editor of this journal in 2013. He has taught Spatial Econometrics courses in Groningen, Utrecht, Jönköping, Umea, Konstanz and Paris.

• Contents.- 1 Introduction.- 2 Linear Spatial Dependence Models.- for Cross-Section Data.- 3 Spatial Panel Data Models.- 4 Dynamic Spatial Panels: Models, Methods and Inferences.- References.

J.Paul Elhorst is professor in Regional Science, endowed by the foundation Leerstoel Regionale Economie (Groningen, Friesland, Drenthe), at the University of Groningen, the Netherlands. He has degrees in Economics (PhD, University of Amsterdam) and Econometrics (MSc, University of Amsterdam). He was awarded the Martin Beckmann Prize for the best paper in Papers in Regional Science 2007 and became the European editor of this journal in 2013. He has taught Spatial Econometrics courses in Groningen, Utrecht, Jönköping, Umea, Konstanz and Paris.

• Contents.- 1 Introduction.- 2 Linear Spatial Dependence Models.- for Cross-Section Data.- 3 Spatial Panel Data Models.- 4 Dynamic Spatial Panels: Models, Methods and Inferences.- References.