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Modélisation « PAC » du secteur extérieur de l'économie américaine

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  • Marc-André Gosselin
  • René Lalonde

Abstract

In this paper, the authors use polynomial adjustment cost (PAC) models to analyze and forecast the main components of the U.S. trade sector. For instance, they model and measure the elasticities of imports and exports to changes in the exchange rate and income. PAC models provide a theoretical justification for the presence of lags within a dynamic equation where optimizing agents' expectations are completely rational and forward looking. This approach thereby adds theoretical depth to a model that has a good forecasting performance. To the authors' knowledge, this paper is the first study to model the U.S. trade sector using a PAC approach. Overall, the models' main elasticities are reasonable. Moreover, the authors find that the out-ofsample forecasting performance of their PAC models is at least as good as that of other models. Their results show that this theoretical structure is not added at the expense of the empirical features of the models.

Suggested Citation

  • Marc-André Gosselin & René Lalonde, 2004. "Modélisation « PAC » du secteur extérieur de l'économie américaine," Staff Working Papers 04-3, Bank of Canada.
    • Handle: RePEc:bca:bocawp:04-3
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    References listed on IDEAS

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    More about this item

    Keywords

    Econometric and statistical methods; International topics; Domestic demand and components;
    All these keywords.

    JEL classification:

    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • 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
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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