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Demanda residencial de energia elétrica em Minas Gerais: 1970-2002 [Residential demand for electrical energy in Minas Gerais: 1970-2002]

Author

Listed:
  • Leonardo Bornacki de Mattos

    () (UFV)

  • João Eustáquio de Lima

    () (UFV)

Abstract

The objective of this study was to obtain an estimate for residential electricity demand in Minas Gerais in the period from 1970 to 2002. Specifically, the goal was to estimate price and income elasticities. After determining that the series under study were non-stationary, we chose to use the Co-integration approach, estimating a Vector Error Correction Model (VEC Model). The results obtained show that the demand studied is more sensible to variations in the income than to the price of the electricity, although both elasticities are inferior to the unit. It was also concluded that price-elasticity is higher in Minas Gerais than it is for Brazil as a whole, suggesting differentiated usage of this energy among the different states in the Country.

Suggested Citation

  • Leonardo Bornacki de Mattos & João Eustáquio de Lima, 2005. "Demanda residencial de energia elétrica em Minas Gerais: 1970-2002 [Residential demand for electrical energy in Minas Gerais: 1970-2002]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 15(3), pages 31-52, September.
  • Handle: RePEc:nov:artigo:v:15:y:2005:i:3:p:31-52
    as

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    1. repec:sbe:breart:v:34:y:2014:i:2:a:11131 is not listed on IDEAS

    More about this item

    Keywords

    residential demand; electricity; co-integration; VECM;

    JEL classification:

    • 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
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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