250 Pages 103 B/W Illustrations
by Routledge

250 Pages 103 B/W Illustrations
by Routledge

250 Pages 103 B/W Illustrations
by Routledge

Spatial Microeconometrics  introduces the reader to the basic concepts of spatial statistics, spatial econometrics and the spatial behavior of economic agents at the microeconomic level. Incorporating useful examples and presenting real data and datasets on real firms, the book takes the reader through the key topics in a systematic way. The book outlines the specificities of... Read more

PART I Introduction

1 Foundations of spatial microeconometrics modeling

PART II Modeling the spatial behavior of economic agents in a given set of locations

2 Preliminary definitions and concepts

3 Basic cross-sectional spatial linear models

4 Non-linear spatial models

5 Space–time models

PART III Modeling the spatial locational choices of economic agents

6 Preliminary definitions and concepts in point pattern analysis

7 Models of the spatial location of individuals

8 Points in a heterogeneous space

9 Space–time models

PART IV Looking ahead: modeling both the spatial location choices and the spatial behavior of economic agents

10 Firm demography and survival analysis

Appendices

Biography

Giuseppe Arbia is full professor of economic statistics at the Faculty of Economics, Catholic University of the Sacred Heart, Rome, and lecturer at the University of Italian Switzerland in Lugano. Since 2006 he has been president of the Spatial Econometrics Association and since 2008 he has chaired the Spatial Econometrics Advanced Institute. He is also a member of many international scientific societies.

Giuseppe Espa is full professor in economic statistics at the Department of Economics and Management of the University of Trento and the LUISS "Guido Carli" University of Rome.

Diego Giuliani is associate professor in economic statistics at the Department of Economics and Management of the University of Trento. He works primarily on the use and development of statistical methods to analyze firm-level micro-geographic data.