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Foundations of the WVU Econometric Input-Output Model

Author

Listed:
  • Randall Jackson

    (Regional Research Institute, West Virginia University)

  • Juan Tomas Sayago-Gomez

    (Regional Research Institute, West Virginia University)

Abstract

This document provides an overview of the theoretical foundations and general assumptions of the WVU Econometric Input-Output (ECIO) model. WVU Econometric Input-Output (ECIO) model (hereafter, ECIO model) is a time-series enabled hybrid econometric input-output (IO) model that combines the capabilities of econometric modeling with the strengths of IO modeling. It is designed to facilitate the estimation of economic (specifically, employment and income) impacts of energy technology development, deployment, and operation over a specified forecast period.

Suggested Citation

  • Randall Jackson & Juan Tomas Sayago-Gomez, 2015. "Foundations of the WVU Econometric Input-Output Model," Working Papers Resource Document 2015-02, Regional Research Institute, West Virginia University.
    • Handle: RePEc:rri:wpaper:2015rd02
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    File URL: https://researchrepository.wvu.edu/rri_res_docs/8/
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    References listed on IDEAS

    as
    1. Richard S. Conway Jr., 1990. "The Washington Projection and Simulation Model: A Regional Interindustry Econometric Model," International Regional Science Review, , vol. 13(1-2), pages 141-165, April.
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    More about this item

    Keywords

    input-output model; econometric model; forecasting models;
    All these keywords.

    JEL classification:

    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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