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Showing 1 to 4 of 4 for “"Spatial Autoregressive Models"”.

  1. Essays On Spatial Econometrics: Estimation Methods And Applications

    … on the estimation methods and applications of spatial econometrics models. In the first essay, we consider a spatial econometric model containing spatial lags in the dependent variable and the disturbance terms with an unknown form of heteroskedasticity in the innovations. We first prove that …

    cuny-grad Repository record for Essays On Spatial Econometrics: Estimation Methods And Applications (opens in a new tab)

  2. Integrating AI and GIS for Climate-Driven Malaria Monitoring and Demand-Based Resource Distribution and Supply Optimization in Low Developing Countries

    … system, and assessed how AI-predictive models and GIS tools can optimize resource distribution. Employing a multi-scalar mixed-methods approach, the research utilized Spatial Autoregressive Models (SAR), Geographically Weighted Regression (GWR), and Random Forest machine learning (R2 = …

    claremont Repository record for Integrating AI and GIS for Climate-Driven Malaria Monitoring and Demand-Based Resource Distribution and Supply Optimization in Low Developing Countries (opens in a new tab)

  3. Essays On Robust Estimators For Non-Identically Distributed Observations In Spatial Econometric And Time Series Models

    … on the estimation methods and applications of spatial econometric models and one essay on the generalized autoregressive conditionally heteroskedastic (GARCH)-type models in financial time series. The first essay discusses the heteroskedasticity robust generalized method of moments estimator …

    cuny-grad Repository record for Essays On Robust Estimators For Non-Identically Distributed Observations In Spatial Econometric And Time Series Models (opens in a new tab)

  4. Essays on Regional Recessions, Spatial Interactions and Forecasting

    … that enables applied researchers to quantify spatial interactions from panel data where variables exhibit recurrent abrupt shifts in behavior. In empirical macroeconomics, omitting spatial effects is restrictive in many contexts because the units of analysis are regions, the characteristics of …

    queens Repository record for Essays on Regional Recessions, Spatial Interactions and Forecasting (opens in a new tab)