Project Code
NP 2013-04
Organization
De La Salle University
Year
2013
Status
Completed
Amount
PHP 221,069
Names of Grantees
Raymund Tan, PhD
Executive Summary
The technical coefficient matrices in input-output (IO) models are empirical, and therefore inherently historical in nature. Numerous methods have been proposed to update these matrices to enable IO models to be more accurate for forecasting applications. This project proposed a fuzzy linear programming approach to updating the technical coefficients of IO tables, focusing specifically on Philippine data. This method determined the updated set of coefficients by finding the smallest deviation from the previous set of technical coefficients necessary to satisfy updated final demand and total output data. Triangular fuzzy numbers were assumed to define the allowable bounds for updating the coefficients, and maximum-minimum aggregation was used to identify the optimal set of updated technical coefficients.