springerbriefs in regional science present concise summaries of cutting-edge research and practical applications across various fields. the series includes compact, authored volumes of 50 to 125 pages, covering content from professional to academic levels. the series showcases emerging theories, empirical research, and practical applications in spatial and regional science from a global author community. this book provides an overview of three generations of spatial econometric models: models based on cross-sectional data, static models based on spatial panels, and dynamic spatial panel data models. it presents different model specifications and their corresponding estimators, and critically discusses the purposes for which these models can be used and how their results should be interpreted. special attention is paid to the interpretation of spatial spillover effects. several of these models are illustrated using well-known datasets. furthermore, matlab routines are provided with which the results reported in the book can be replicated and with which researchers can run their own empirical problems. the book covers linear spatial dependence models for cross-sectional data, spatial panel data models, and dynamic spatial panels. it discusses stationarity conditions, estimation methods, direct and indirect effects, and model comparison. it also explores fixed and random effects models, fixed and random coefficients models, multilevel models, and spatial sur models. the book concludes with empirical illustrations and discussions on model selection and interpretation. the book is a valuable resource for researchers and practitioners in spatial and regional science.springerbriefs in regional science present concise summaries of cutting-edge research and practical applications across various fields. the series includes compact, authored volumes of 50 to 125 pages, covering content from professional to academic levels. the series showcases emerging theories, empirical research, and practical applications in spatial and regional science from a global author community. this book provides an overview of three generations of spatial econometric models: models based on cross-sectional data, static models based on spatial panels, and dynamic spatial panel data models. it presents different model specifications and their corresponding estimators, and critically discusses the purposes for which these models can be used and how their results should be interpreted. special attention is paid to the interpretation of spatial spillover effects. several of these models are illustrated using well-known datasets. furthermore, matlab routines are provided with which the results reported in the book can be replicated and with which researchers can run their own empirical problems. the book covers linear spatial dependence models for cross-sectional data, spatial panel data models, and dynamic spatial panels. it discusses stationarity conditions, estimation methods, direct and indirect effects, and model comparison. it also explores fixed and random effects models, fixed and random coefficients models, multilevel models, and spatial sur models. the book concludes with empirical illustrations and discussions on model selection and interpretation. the book is a valuable resource for researchers and practitioners in spatial and regional science.