Spatial Microeconometrics is an advanced textbook for researchers and graduate students. The book introduces the reader to the basic concepts of spatial statistics, spatial econometrics and spatial behavior of economics 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. As the reader works through the book, the material becomes increasingly cutting edge, and the final part of the book summarizes some of the most recent contributions and their applications to microeconomic data. The book is written by leading figures in the field, and is completely up to date with the very latest research. It will be invaluable for students and researchers in economic geography, regional science, spatial econometrics, spatial statistics and urban economics.
Giuseppe Arbia obtained his PhD at Cambridge University and he is currently Full Professor of Economic Statistics at the Faculty of Economics, Catholic University of the Sacred Heart of Rome, Italy. He is the Chairman of the Spatial Econometrics Association. Giuseppe Espa has a PhD from "Sapienza" University of Rome and is currently Full Professor of Economic Statistics at the Department of Economics and Management, University of Trento, Italy. He is the director of the PhD course in Economic Statistics at the "Sapienza" University of Rome. Diego Giuliani is Assistant Professor (in Economic Statistics) at University of Trento, Italy He received his PhD in Economic Statistics at the "Sapienza" University of Rome and has been visiting scholar at the School of Health and Medicine at Lancaster University.
PART I: Modeling the spatial behavior of economic agents in a given set of Locations 2: Preliminary definitions and concepts. 3: Basic cross-sectional linear regression models. 4: Advanced cross-sectional regression models. 5: Space-time models. PART II: Modeling the spatial locational choices of the economic agents. 6: Preliminary definitions and concepts. 7: Models of the spatial location of individuals. 8: Heterogeneous space. 9: Space-time models. PART III: Looking ahead: Modeling both the spatial location choices and the spatial behavior of economic agents. 10: Preliminary definitions and concepts. 11: Models of the spatial location of individuals. 12: Firm demography and survival. 13: Reconciling meso and micro approach: multilevel modeling. PART IV: Conclusion
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