Spatial microeconometrics:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
Routledge
2021
|
| Schriftenreihe: | 34
34 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xxii, 228 Seiten Illustrationen, Diagramme |
| ISBN: | 9781138833753 9781138833746 |
Internformat
MARC
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Datensatz im Suchindex
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| adam_text | Contents Foreword LUNG-FEI LEE Preface and acknowledgements PART I Introduction 1 Foundations of spatial microeconometrics modeling 1.1 1.2 1.3 1.4 1.5 A micro-level approach to spatial econometrics 3 Advantages ofspatial microeconometric analysis 5 Sources ofspatial micro-data 7 Sources of uncertainty in spatial micro-data 8 Conclusions and plan of the book 10 PART II Modeling the spatial behavior of economic agents in a given set of locations 2 Preliminary definitions and concepts 2.1 Neighborhood and the W matrix 15 2.2 Moran’s I and other spatial correlation measures 22 2.3 The Moran scatterplot and local indicators ofspatial correlation 26 2.4 Conclusions 29 3 Basic cross-sectional spatial linear models 3.1 Introduction 30 3.2 Regression models with spatial autoregressive components 30 3.2.1 Pure spatial autoregression 30 3.2.2 The spatial error model 32
viii Contents 3.3 3.4 3.5 3.6 3.2.3 The spatial lag model 35 3.2.4 The spatial Durbin model 39 3.2.5 The general spatial autoregressive model with spatial autoregressive error structure 41 Test of residual spatial autocorrelation with explicit alternative hypotheses 44 Marginal impacts 46 Effects ofspatial imperfections of micro-data 48 3.5.1 Introduction 48 3.5.2 Measurement error in spatial error models 49 3.5.3 Measurement error in spatial lag models 50 Problems in regressions on a spatial distance 53 4 Non-linear spatial models 4.1 Non-linear spatial regressions 57 4.2 Standard non-linear models 58 4.2.1 Logit and probit models 58 4.2.2 The tobit model 60 4.3 Spatial probit and logit models 63 4.3.1 Model specification 63 4.3.2 Estimation 65 4.4 The spatial tobit model 72 4.4.1 Model specification 72 4.4.2 Estimation 72 4.5 Further non-linear spatial models 73 4.6 Marginal impacts in spatial non-linear models 74 5 Space-time models 5.1 Generalities 76 5.2 Fixed and random effects models 76 5.3 Random effects spatial models 77 5.4 Fixed effect spatial models 79 5.5 Estimation 80 5.5.1 Introduction 80 5.5.2 Maximum likelihood 80 5.5.2.1 Likelihood procedures for random effect models 80 5.5.2.2 Likelihood procedures for fixed effect models 82 5.5.3 The generalized method of moments approach 83 5.5.3.1 Generalized method of moments procedures for random effects models 84 5.5.3.2 Generalized method of moments procedures for fixed effects models 85 5.6 A glance at further approaches in spatial panel data modeling 85
Contents ix PART III Modeling the spatial locational choices of economic agents 6 Preliminary definitions and concepts in point pattern analysis 6.1 Spatial point patterns of economic agents 93 6.2 The hypothesis of complete spatial randomness 94 6.3 Spatial point processes 95 6.3.1 Homogeneous Poisson point process 96 6.3.2 Aggregated point processes 98 91 93 6.3.2.1 Inhomogeneous Poisson point processes 98 6.3.2.2 Cox processes 100 6.3.2.3 Poisson cluster point processes 101 6.3.3 Regular point processes 104 6.4 Classic exploratory tools and summary statisticsfor spatial point patterns 107 6.4.1 Quadrat-based methods 107 6.4.2 Distance-based methods 110 7 Models of the spatial location of individuals 7.1 Ripley’s K-function 113 7.2 Estimation ofRipley’s K-function 114 7.3 Identification ofspatial location patterns 116 7.3.1 The CSR tesť 116 7.3.2 Parameter estimation of the Thomas cluster process 121 7.3.3 Parameter estimation of the Mátém cluster process 124 7.3.4 Parameter estimation of the log-Gaussian Cox process 126 113 8 Points in a heterogeneous space 8.1 Diggle and Chetwynd’sD-function 127 8.2 Baddeley, Møller and Waagepetersen’s inhom т/һnotion 132 8.2.1 Estimation of Rmhorn՝funcdon 133 8.2.2 Inference for Rjnhom-function 135 8.3 Measuring spatial concentration of industries: Duranton-Overman К-density and Marcon-Puech M-function 138 8.3.1 Duranton and Overman’s R-density 139 8.3.2 Marcon and Puech’s M-function 140 127
x Contents 9 Space-time models 143 9.1 Diggle, Chetwynd, Häggkvist and Morris’space-time K-function 143 9.1.1 Estimation of space-time ^֊function 145 9.1.2 Detecting space-time clustering of economic events 145 9.2 Gabriel and Diggle’s STTKfunction 148 9.2.1 Estimation of ЅТТЌТ-function and inference 152 PART IV Looking ahead: modeling both the spatial location choices and the spatial behavior of economic agents 157 10 Firm demography and survival analysis 159 10.1 Introduction 159 10.2 A spatial microeconometric modelforfirm demography 161 10.2.1 A spatial model for firm demography 161 10.2.1.1 10.2.1.2 10.2.1.3 10.2.1.4 Introduction 161 The birth model 162 The growth model 163 The survival model 163 10.2.2 A case study 164 10.2.2.1 10.2.2.2 10.2.2.3 10.2.2.4 Data description 164 The birth model 166 The growth model 169 The survival model 170 10.2.3 Conclusions 172 10.3 A spatial microeconometric modelforfirm survival 172 10.3.1 Introduction 172 10.3.2 Basic survival analysis techniques 173 10.3.3 Case study: The survival of pharmaceutical and medical device manufacturing start-up firms in Italy 176 10.3.3.1 Data description 10.3.3.2 Definition of the covariates 177 10.3.3.3 Definition of the 10.3.3.4 Empirical results 176 spatial microeconometric control variables 180 181 10.4 Conclusion 186 Appendices Appendix 1: Some publicly available spatial datasets 187 Appendix 2: Creation of a W matrix and preliminary computations 188
Contents xi Appendix 3: Spatial linear models 191 Appendix 4: Non-linear spatial models 192 Appendix 5: Space-time models 193 Appendix 6: Preliminary definitions and concepts in point pattern analysis 194 Appendix 6.1: Point pattern datasets 194 Appendix 6.2: Simulating point patterns 195 Appendix 6.2.1: Homogeneous Poisson processes 195 Appendix 6.2.2: Inhomogeneous Poisson processes 196 Appendix 6.2.3: Cox processes 196 Appendix 6.2.4: Poisson cluster processes 196 Appendix 6.2.5: Regular processes 197 Appendix 6.3: Quadrat-based analysis 197 Appendix 6.4: Clark-Evans test 198 Appendix 7: Models of the spatial location of individuals 199 Appendix 7.1: AT-function-based CSRtest 199 Appendix 7.2: Point process parameters estimation by the method of minimum Contrast 199 Appendix 8: Points in a heterogeneous space 200 Appendix 8.1: D-function-based test of spatial interactions 200 Appendix 8.2: lC¡njj0lri-function-based test of spatial interactions 202 Appendix 8.3: Duranton-Overman A1 density and Marcon-Puech Ar-function 203 Appendix 9: Space-time models 204 Appendix 9.1: Space-time R-function 204 Appendix 9.2: Gabriel and Diggle’s ЅТЖ-function 205 Bibliography Index 207 219
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| illustrated | Illustrated |
| indexdate | 2024-07-10T07:07:15Z |
| institution | BVB |
| isbn | 9781138833753 9781138833746 |
| language | English |
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| publishDate | 2021 |
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| series | 34 |
| series2 | Routledge advanced texts in economics and finance |
| spelling | Arbia, Giuseppe 1958- Verfasser (DE-588)131479857 aut Spatial microeconometrics Giuseppe Arbia, Giuseppe Espa and Diego Giuliani London Routledge 2021 xxii, 228 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Routledge advanced texts in economics and finance 34 Mikroökonomisches Modell (DE-588)4125908-7 gnd rswk-swf Raumwirtschaftstheorie (DE-588)4121557-6 gnd rswk-swf Raumwirtschaftstheorie (DE-588)4121557-6 s Mikroökonomisches Modell (DE-588)4125908-7 s b DE-604 Espa, Giuseppe Verfasser (DE-588)171747259 aut Giuliani, Diego Verfasser (DE-588)1230496564 aut Erscheint auch als Online-Ausgabe 978-1-315-73527-6 34 34 (DE-604)BV037241432 34 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028109100&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Arbia, Giuseppe 1958- Espa, Giuseppe Giuliani, Diego Spatial microeconometrics 34 Mikroökonomisches Modell (DE-588)4125908-7 gnd Raumwirtschaftstheorie (DE-588)4121557-6 gnd |
| subject_GND | (DE-588)4125908-7 (DE-588)4121557-6 |
| title | Spatial microeconometrics |
| title_auth | Spatial microeconometrics |
| title_exact_search | Spatial microeconometrics |
| title_full | Spatial microeconometrics Giuseppe Arbia, Giuseppe Espa and Diego Giuliani |
| title_fullStr | Spatial microeconometrics Giuseppe Arbia, Giuseppe Espa and Diego Giuliani |
| title_full_unstemmed | Spatial microeconometrics Giuseppe Arbia, Giuseppe Espa and Diego Giuliani |
| title_short | Spatial microeconometrics |
| title_sort | spatial microeconometrics |
| topic | Mikroökonomisches Modell (DE-588)4125908-7 gnd Raumwirtschaftstheorie (DE-588)4121557-6 gnd |
| topic_facet | Mikroökonomisches Modell Raumwirtschaftstheorie |
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