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Household Energy Demand Analysis: An Empirical Application of the Closure Test Principle

Author

Listed:
  • Madlener, Reinhard

    (Institute for Advanced Studies, Vienna)

Abstract

In this paper a set of ten different single-equation models of household energy demand is being analyzed. These simple models are being derived by the imposition of linear parameter restrictions on a fairly general autoregressive distributed lag (ADL) model in log-linear form. Household energy consumption is assumed to be explainable by movements in households' real disposable income, real price of energy, and the temperature variable 'heating degree days'. In the empirical application, Austrian annual data for the period 1970 to 1992 are used. The overall significance level alpha of the tests is being reduced by applying the closure test principle, introduced by Marcus, Peritz, and Gabriel (1976). The application illustrates nicely how one can, by defining a closed system of hypotheses, reduce the significance level in a relatively unordered search for a suitable specific model. The wide range of estimated elasticities, however, indicates that such estimation results depend heavily on the choice of the model specification.

Suggested Citation

  • Madlener, Reinhard, 1995. "Household Energy Demand Analysis: An Empirical Application of the Closure Test Principle," Economics Series 6, Institute for Advanced Studies.
    • Handle: RePEc:ihs:ihsesp:6
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    File URL: https://irihs.ihs.ac.at/id/eprint/832
    File Function: First version, 1995
    Download Restriction: no
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    More about this item

    Keywords

    Single-Equation Analysis; Residential Energy Demand; Closure Test; General-to-Specific Modelling;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand

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