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A linear demand system within a seemingly unrelated time series equations framework

Author

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  • Arvid Raknerud
  • Terje Skjerpen

    ()

  • Anders Swensen

Abstract

We consider a Seemingly Unrelated Time Series Equations framework for the linear Almost Ideal Demand system. The framework is applied to a consumer demand system covering nine non-durable commodities. We test for demand homogeneity within a specification where the static linear Almost Ideal Demand system is augmented by three stochastic trends and three stochastic seasonal variables. The homogeneity restriction is rejected for about half of the commodities and in the system as a whole using conventional significance levels. However, when comparing the out-of-sample predictions from a homogeneous and non-homogeneous model, we do not find that the non-homogenous model performs better than the homogeneous one. Moreover, the income and price elasticities calculated under homogeneity restrictions are all of the right sign and have reasonable magnitudes.
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Suggested Citation

  • Arvid Raknerud & Terje Skjerpen & Anders Swensen, 2007. "A linear demand system within a seemingly unrelated time series equations framework," Empirical Economics, Springer, vol. 32(1), pages 105-124, April.
    • Handle: RePEc:spr:empeco:v:32:y:2007:i:1:p:105-124
    DOI: 10.1007/s00181-006-0074-5
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    References listed on IDEAS

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    Cited by:

    1. Håvard Hungnes, 2011. "A demand system for input factors when there are technological changes in production," Empirical Economics, Springer, vol. 40(3), pages 581-600, May.
    2. Kawata, Yukichika, 2012. "Fishery resource recovery strategy without reducing the number of landings: A case study of the ocellate puffer in Japan," Ecological Economics, Elsevier, vol. 77(C), pages 225-233.

    More about this item

    Keywords

    Consumer demand; Almost ideal demand system; Seemingly unrelated time series equations; Out-of-sample performance; C32; C51; C53; E21;

    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

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