New Directions in Spatial Econometrics /
The importance and relevance of methods to deal with spatial effects in econometric models has received increased recognition, in part due to a renewed interest for the role of space and spatial interaction in social science theory, the availability of large socio-economic data sets with geo-referen...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg,
1995.
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| Series: | Advances in spatial science.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- New Directions in Spatial Econometrics
- Small Sample Properties of Tests for Spatial Dependence in Regression Models: Some Further Results
- Spatial Correlation: A Suggested Alternative to the Autoregressive Model
- Spatial Autoregressive Error Components in Travel Flow Models: An Application to Aggregates Mode Choice
- The Impacts of Misspecified Spatial Interaction in Linear Regression Models
- Computation of Box-Cox Transform Parameters
- Data Problems in Spatial Econometric Modeling
- Spatial Filtering in a Regression Framework: Examples Using Data on Urban Crime, Regional Inequality, and Government Expenditures
- Spatial Effects in Probit Models: A Monte Carlo Investigation
- Estimating Logit Models with Spatial Dependence
- Utility Variability within Aggregate Spatial Units and its Relevance to Discrete Models of Destination Choice
- The General Linear Model and Spatial Autoregressive Models
- Econometric Models and Spatial Parametric Instability
- Bayesian Hierarchical Forecasts for Dynamic Systems
- A Multiprocess Mixture Model to Estimate Space-Time Dimensions of Weekly Pricing of Certificates of Deposit.