Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
Object-Oriented Interindustry Systems: Proof Of Concept, Péter Járosi, Randall Jackson
Object-Oriented Interindustry Systems: Proof Of Concept, Péter Járosi, Randall Jackson
Regional Research Institute Technical Documents
This document provides a proof-of-concept demonstration of an object-oriented approach to modeling an inter-industry system. The example framework uses a small CGE model based on a three-sector social accounting matrix (SAM). The economy is shocked by changing total factor of productivity in the production function, the new equilibrium is determined in classical CGE fashion, and the original SAM is updated to conform to the new equilibrium solution. In this way, the efficiency of the Object-oriented modeling (OOM) approach can be emphasized in the context of the computational simulations of interindustry systems by a simplified CGE example written in Python. Since …
Matlab And Python Functions For Weighted Disaggregation, Amir Borges Ferreira Neto, Randall Jackson
Matlab And Python Functions For Weighted Disaggregation, Amir Borges Ferreira Neto, Randall Jackson
Regional Research Institute Technical Documents
This technical document describes a weighted disaggregation problem and provides the code for a function in MATLAB and Python to perform such disaggregation.
Comparing Implementations Of Estimation Methods For Spatial Econometrics, Roger Bivand, Gianfranco Piras
Comparing Implementations Of Estimation Methods For Spatial Econometrics, Roger Bivand, Gianfranco Piras
Regional Research Institute Working Papers
Recent advances in the implementation of spatial econometrics model estimation techniques have made it desirable to compare results, which should correspond between implementations across software applications for the same data. These model estimation techniques are associated with methods for estimating impacts (emanating effects), which are also presented and compared. This review constitutes an up to date comparison of generalized method of moments (GMM) and maximum likelihood (ML) implementations now available. The comparison uses the cross sectional US county data set provided by Drukker, Prucha, and Raciborski (2011c, pp. 6-7). The comparisons will be cast in the context of alternatives using …