New directions in spatial econometrics:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | German |
| Veröffentlicht: |
Berlin u.a.
Springer
1995
|
| Schriftenreihe: | Advances in spatial science
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XIX, 420 S. graph. Darst. |
| ISBN: | 3540600205 |
Internformat
MARC
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| 245 | 1 | 0 | |a New directions in spatial econometrics |c Luc Anselin ... (eds.) |
| 264 | 1 | |a Berlin u.a. |b Springer |c 1995 | |
| 300 | |a XIX, 420 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Advances in spatial science | |
| 500 | |a Literaturangaben | ||
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| 650 | 7 | |a Ruimtelijke economie |2 gtt | |
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| 650 | 4 | |a Econometrics | |
| 650 | 4 | |a Space in economics | |
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Datensatz im Suchindex
| _version_ | 1804124717495353344 |
|---|---|
| adam_text | Contents
Preface v
List of Figures xiv
List of Tables xvii
INTRODUCTION
1 New Directions in Spatial Econometrics: Introduction
Luc Anselin and Raymond J.G.M. Florax
1.1 Introduction 3
1.2 Spatial Effects in Regression Models 6
1.2.1 Specification of Spatial Dependence 6
1.2.2 Spatial Data and Model Transformations 9
1.3 Spatial Effects in Limited Dependent Variable Models 10
1.4 Heterogeneity and Dependence in Space Time Models 12
1.5 Future Directions 15
References 16
PART I A: Spatial Effects in Linear Regression Models
Specification of Spatial Dependence
2 Small Sample Properties of Tests for Spatial Dependence in
Regression Models: Some Further Results
Luc Anselin and Raymond J.G.M. Florax
2.1 Introduction 21
2.2 Tests for Spatial Dependence 23
xjj Contents
12.4.2 AR GLM Models for the Repeated Measures Case 287
12.4.3 A Spatially Adjusted Canonical Correlation
Analysis of the Milk Production Data 289
12.5 Conclusions 293
References 294
Appendix 1: SAS Computer Code to Compute the Popular Spatial
Autocorrelation Indices 296
Appendix 2: SAS Code for Estimating Missing Values in the 1969
Data Set 298
Appendix 3: SAS Code for 1969 USDA Data Analysis 299
13 Econometric Models and Spatial Parametric Instability:
Relevant Concepts and an Instability Index
Emilio Casetti and Jessie Poon
13.1 Introduction 301
13.2 The Expansion Method 303
13.3 Parametric Instability 306
13.3.1 Example 308
13.4 Conclusions 315
13.4.1 Instability Measures: Scope 315
13.4.2 Instability Measures: Significance 316
References 318
14 Bayesian Hierarchical Forecasts for Dynamic Systems:
Case Study on Backcasting School District Income Tax Revenues
George T. Duncan, Wilpen Gorr and Janusz Szczypula
14.1 Introduction 322
14.2 Literature Review 324
14.3 The C MSKF Model: Time Series Prediction with Spatial
Adjustments 326
14.3.1 Multi State Kalman Filter 326
14.3.2 Spatial Adjustment via Hierarchical Random
Effects Model 330
14.3.3 CIHM Method 332
14.3.4 C MSKF 334
14.4 Case Study and Observational Setting 336
14.4.1 Data 336
14.4.2 Treatments 339
14.5 Results 340
14.6 Conclusions 344
References 344
Appendix 1: Poolbayes Program 347
Contents xiii
15 A Multiprocess Mixture Model to Estimate Space Time Dimensions
of Weekly Pricing of Certificates of Deposit
James P. LeSage
15.1 Introduction 359
15.2 A Dynamic Targeting Model of CD Rate Setting Behavior 361
15.2.1 The Model 361
15.2.2 The Decision Rule 363
15.3 The Spatial Econometric Model 365
15.3.1 Spatial Time Varying Parameters 365
15.3.2 Parameter Estimation 368
15.3.3 Testing Hypotheses with the Model 370
15.4 Implementing the Model 372
15.4.1 The Data 373
15.4.2 Prior Information 373
15.4.3 Empirical Results 379
15.5 Conclusions 380
Acknowledgements 380
References 381
Appendix 1: FORTRAN Program for the Spatial Mixture 382
Author Index 399
Subject Index 405
Contributors 417
jj Contents
2.2.1 Null and Alternative Hypotheses 23
2.2.2 Tests for Spatial Error Dependence 25
2.2.3 Tests for Spatial Lag Dependence 26
2.3 Experimental Design 28
2.4 Results of Monte Carlo Experiments 34
2.4.1 Empirical Size of the Tests 35
2.4.2 Power of Tests Against First Order Spatial Error
Dependence 37
2.4.3 Power of Tests Against Spatial Autoregressive Lag
Dependence 41
2.4.4 Power of Tests Against Second Order Spatial Error
Dependence 42
2.4.5 Power of Tests Against a SARMA (1,1) Process 43
2.5 Conclusions 47
Acknowledgements 49
References 50
Appendix 1: Tables 52
Spatial Correlation: A Suggested Alternative to the Autoregressive
Model
Harry H. Kelejian and Dennis P. Robinson
3.1 Introduction 75
3.2 The Spatial AR Model of Autocorrelation 78
3.3 The Singularity of (/ pA/) 78
3.3.1 Theoretical Issues 78
3.3.2 Independent Corroborative Evidence 82
3.4 The Parameter Space 83
3.5 A Suggested Variation of the Spatial AR Model 87
3.5.1 The Suggested Model 87
3.5.2 Some Limiting Correlations 89
3.5.3 A Generalization 90
3.6 Suggestions for Further Work 91
Acknowledgements 91
References 91
Appendix 1: Spatial Weighting Matrices 94
Spatial Autoregressive Error Components in Travel Flow Models:
An Application to Aggregate Mode Choice
Denis Bolduc, Richard Laferriere and Gino Santarossa
4.1 Introduction 96
4.2 The First Order Spatially Autoregressive Error Components
Formulation 97
4.3 Estimation Issues 100
Contents ix
4.4 Empirical Example 102
4.4.1 An Illustration Based on Synthetic Data 105
4.5 Conclusions 107
References 107
PART I B: Spatial Effects in Linear Regression Models
Spatial Data and Model Transformations
5 The Impacts of Misspecified Spatial Interaction in Linear Regression
Models
Raymond J.G.M Florax and Serge Rey
5.1 Introduction 111
5.2 Aggregation and the Identification of Spatial Interaction 112
5.3 Experimental Design 116
5.3.1 Sample Size 116
5.3.2 Spatial Interaction Structures 117
5.3.3 Spatial Models and Parameter Space 119
5.3.4 Test Statistics and Estimators 119
5.3.5 Forms of Misspecification 121
5.4 Empirical Results 121
5.4.1 Size of Tests Under the Null 121
5.4.2 Power of Tests 122
5.4.3 Misspecification Effects on the Power of Tests
for Spatial Dependence 123
5.4.4 Sensitivity of Parameter Estimation to Specification of
Weight Matrix 131
5.4.5 Impact of Misspecification of Weight Matrix
on Estimation 131
5.5 General Inferences 132
References 133
6 Computation of Box Cox Transform Parameters:
A New Method and its Application to Spatial Econometrics
Reinaud A.J.J. van Gastel and Jean H.P. Paelinck
6.1 Introduction 136
6.2 The Elasticity Method: Further Elaboration 137
6.2.1 Linearization Bias 140
6.2.2 Discretization Bias 140
6.2.3 Specification Bias 145
6.3 The One Exogenous Variable Test 146
6.4 An Application to Spatial Econometrics 150
6.5 The Multiple Exogenous Variable Computation 153
6.6 Conclusions 154
References 154
x Contents
7 Data Problems in Spatial Econometric Modeling
Robert P. Haining
7.1 Introduction 156
7.2 Data for Spatial Econometric Analysis 157
7.3 Data Problems in Spatial Econometrics 158
7.4 Methodologies for Handling Data Problems 162
7.4.1 Influential Cases in the Standard Regression Model 162
7.4.2 Influential Cases in a Spatial Regression Model 164
7.4.3 An Example 166
7.5 Implementing Methodologies 169
References 170
8 Spatial Filtering in a Regression Framework: Examples Using Data
on Urban Crime, Regional Inequality, and Government Expenditures
Arthur Getis
8.1 Introduction 172
8.2 Rationale for a Spatial Filter 172
8.3 The G, Statistic 173
8.4 The Filtering Procedure 174
8.5 Filtering Variables: Three Examples 176
8.5.1 Example 1: Urban Crime 176
8.5.2 Example 2: Regional Inequality 178
8.5.3 Example 3: Government Expenditures 182
8.6 Conclusions 184
Acknowledgments 184
References 185
PART II: Spatial Effects in Limited Dependent Variable
Models
9 Spatial Effects in Probit Models: A Monte Carlo Investigation
Daniel P. McMillen
9.1 Introduction 189
9.2 Sources of Heteroscedasticity 191
9.3 Heteroscedastic Probit 192
9.4 Monte Carlo Design 194
9.5 Tests 198
9.6 Monte Carlo Results 199
9.7 Conclusions 205
References 206
Contents xi
Appendix 1: Monte Carlo Results 209
Appendix 2: Heteroscedastic Probit Computer Programs 219
Appendix 3: Monte Carlo Computer Programs 221
10 Estimating Logit Models with Spatial Dependence
Robin Dubin
10.1 Introduction 229
10.1.1 Model 230
10.2 Simulation Example 233
10.3 Conclusions 237
References 237
Appendix 1: Gauss Program for Finding ML Estimates 239
Appendix 2: Gauss Program to Estimate Asymptotic Variances
of ML Estimates 241
11 Utility Variability within Aggregate Spatial Units and its
Relevance to Discrete Models of Destination Choice
Mark R. Ferguson and Pavlos S. Kanaroglou
11.1 Introduction 243
11.2 Theoretical Background 245
11.3 Estimation of the Maximum Utility Model 251
11.4 Model Specifications and Simulations 254
11.4.1 Specification Issues 254
11.4.2 Description of Simulation Method 257
11.4.3 Results 261
11.5 Conclusions 266
Acknowledgement 267
References 267
PART III: Heterogeneity and Dependence in Space Time
Models
12 The General Linear Model and Spatial Autoregressive Models
Daniel A. Griffith
12.1 Introduction 273
12.2 The GLM 275
12.3 Data Preprocessing 276
12.3.1 Analysis of the 1964 Benchmark Data 277
12.3.2 Evaluation of Missing USDA Values Estimation 280
12.4 Implementation of the Spatial Statistical GLM 285
12.4.1 Preliminary Spatial Analysis of Milk Yields:
AR Trend Surface GLMs 286
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| spelling | New directions in spatial econometrics Luc Anselin ... (eds.) Berlin u.a. Springer 1995 XIX, 420 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Advances in spatial science Literaturangaben Econometrische modellen gtt Espace (Économie politique) Ruimtelijke economie gtt Économétrie Econometrics Space in economics Raumwirtschaftstheorie (DE-588)4121557-6 gnd rswk-swf Ökonometrisches Modell (DE-588)4043212-9 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content (DE-588)1071861417 Konferenzschrift gnd-content Raumwirtschaftstheorie (DE-588)4121557-6 s Ökonometrisches Modell (DE-588)4043212-9 s DE-604 Anselin, Luc Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006852764&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | New directions in spatial econometrics Econometrische modellen gtt Espace (Économie politique) Ruimtelijke economie gtt Économétrie Econometrics Space in economics Raumwirtschaftstheorie (DE-588)4121557-6 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd |
| subject_GND | (DE-588)4121557-6 (DE-588)4043212-9 (DE-588)4143413-4 (DE-588)1071861417 |
| title | New directions in spatial econometrics |
| title_auth | New directions in spatial econometrics |
| title_exact_search | New directions in spatial econometrics |
| title_full | New directions in spatial econometrics Luc Anselin ... (eds.) |
| title_fullStr | New directions in spatial econometrics Luc Anselin ... (eds.) |
| title_full_unstemmed | New directions in spatial econometrics Luc Anselin ... (eds.) |
| title_short | New directions in spatial econometrics |
| title_sort | new directions in spatial econometrics |
| topic | Econometrische modellen gtt Espace (Économie politique) Ruimtelijke economie gtt Économétrie Econometrics Space in economics Raumwirtschaftstheorie (DE-588)4121557-6 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd |
| topic_facet | Econometrische modellen Espace (Économie politique) Ruimtelijke economie Économétrie Econometrics Space in economics Raumwirtschaftstheorie Ökonometrisches Modell Aufsatzsammlung Konferenzschrift |
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