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Empirical determination of aggregate demand and supply curves: The example of the RWI Business Cycle Model

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  • Heilemann, Ullrich
  • Findeis, Hagen
Abstract
Macroeconometric models are often criticised for being too complex and difficult to read in theoretical terms. To overcome these difficulties, Hickman suggested the calculation of a model's implicit aggregate demand/supply (AD/AS) structure. The method helps to understand models and their main properties in theoretical terms and facilitates detailed model comparisons. This paper uses the AD/AS–IS/LM apparatus to analyse the simulation properties of the RWI (Rheinisch-Westfälisches Institut für Wirtschaftsforschung) Business Cycle Model, a medium-sized short-term macroeconometric model for Germany. The results confirm theoretical expectations for AD and AS elasticities and reveal particular reactions linked to peculiar model specifications such as an endogenous government sector. The results are also much in line with a previous study in a multi-country model context.

Suggested Citation

  • Heilemann, Ullrich & Findeis, Hagen, 2012. "Empirical determination of aggregate demand and supply curves: The example of the RWI Business Cycle Model," Economic Modelling, Elsevier, vol. 29(2), pages 158-165.
    • Handle: RePEc:eee:ecmode:v:29:y:2012:i:2:p:158-165
    DOI: 10.1016/j.econmod.2011.09.003
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    References listed on IDEAS

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    Cited by:

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    More about this item

    Keywords

    AS AD; IS LM model; Econometric modelling; Macroeconometrics; Simulation;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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