CAUSALITY ANALYSIS IN SOFT SPATIAL ECONOMETRIC MODELS

Econometric Causality

Econometric Causality This paper presents the econometric approach to causal modeling. It is motivated by policy problems. New causal parameters are defined and identified to address specific policy problems. Economists embrace a scientific approach to causality and model the preferences and choices of agents to infer subjective (agent) evaluations as well as objective outcomes. Anticipated and...

SOFT ECONOMETRIC MODELS An Analysis of Regional Income Determinants

Double Generalized Spatial Econometric Models

The authors offer a unified method extending traditional spatial dependence with normally distributed error terms to a new class of spatial models based on the biparametric exponential family of distributions. Joint modeling of the mean and variance (or precision) parameters is proposed in this family of distributions, including spatial correlation. The proposed models are applied for analyzing...

Adaptations of Conventional Spatial Econometric Models to Count Data

The paper suggests and studies count data models corresponding to previously studied spatial econometric models for continuous variables. A novel way of incorporating spatial weights is considered for both time and space dynamic models with or without simultaneity. The paper also contains a brief discussion about estimation issues.

Econometric Analysis of Models with Social Interactions