Regions and industries are not isolated islands; so, when evaluating productivity growth, regional and sectoral growth paths should not be expected to generate independently. Moreover, accounting for spatial interactions via econometric models has become normal practice; but modelling...

This paper proposes a semiparametric estimator for spatial autoregressive (SAR) binary choice models in the context of panel data with fixed effects. The estimation procedure is based on the observational equivalence between distribution free models with a conditional median restriction and...

This paper considers spatial autoregressive (SAR) binary choice models in the context of panel data with fixed effects, where the latent dependent variables are spatially correlated. Without imposing any parametric structure of the error terms, this paper proposes a smoothed spatial maximum...

Different countries of the world are affected differently by the adverse impacts of anthropogenic climate change. For a large country consisting of several regions with different geographical conditions, the direct geographical impacts of climate change may differ significantly. Given the...

Chapter 1. Introduction: Importance Interindustry Relations and Overview -- Chapter 2. Basic, Demand-Driven IO Quantity Models -- Chapter 3. Updating Different Types of IO Tables -- Chapter 4. From Regional IO Tables to Interregional SU Models -- Chapter 5. From Basic IO and SU Models to...

The Spatial Interaction Model proposed by Alonso as “Theory of Movements” offers an innovative specification of spatial origin-destination flow models. Equations for flows between regions, total outflow from and total inflow to a region are linked by balancing factors. This paper presents a...

In this paper, we study the spatial dynamic panel data models with high-order time-varying endogenous weights matrices. The quasi-maximum likelihood (QML) estimator is inconsistent under heteroskedastic errors and would be computationally complicated due to the evaluation of the Jacobian...

In this paper, we study the spatial dynamic panel data models with high-order time-varying endogenous weights matrices. To estimate the model, we propose a generalized method of moments (GMM) estimator. Compared to the traditional quasi-maximum likelihood (QML) estimator, GMM estimators can...