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Un modèle « PAC » d'analyse et de prévision des dépense des ménages américains


  • Marc-André Gosselin
  • René Lalonde


Traditional structural models cannot distinguish whether changes in activity are a function of altered expectations today or lagged responses to past plans. Polynomial-adjustment-cost (PAC) models remove this ambiguity by explicitly separating observed dynamic behaviour into movements that have been induced by changes in expectations, and responses to expectations, that have been delayed because of adjustment costs. In these models, agents’ decisions are a function of forecasts of a desired level for the decision variable and, owing to frictions, this level is reached only gradually. In this paper, the authors use PAC models to analyze and forecast U.S. household spending. They find that the estimated models are rather rich from a theoretical and dynamic view-point. For example, the authors find that household spending is a function of forward-looking expectations, short- and long-term interest rates, human and non-human wealth, liquidity constraints, and uncertainty with respect to future business cycles. Moreover, out-of-sample forecasts and stability tests show that this theoretical structure is not added at the expense of the model’s empirical features.

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  • Marc-André Gosselin & René Lalonde, 2003. "Un modèle « PAC » d'analyse et de prévision des dépense des ménages américains," Staff Working Papers 03-13, Bank of Canada.
  • Handle: RePEc:bca:bocawp:03-13

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    References listed on IDEAS

    1. Campbell, John Y, 1987. "Does Saving Anticipate Declining Labor Income? An Alternative Test of the Permanent Income Hypothesis," Econometrica, Econometric Society, vol. 55(6), pages 1249-1273, November.
    2. Christopher D. Carroll, 2001. "A Theory of the Consumption Function, with and without Liquidity Constraints," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 23-45, Summer.
    3. Case Karl E. & Quigley John M. & Shiller Robert J., 2005. "Comparing Wealth Effects: The Stock Market versus the Housing Market," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-34, May.
    4. Jeffrey C. Fuhrer, 2000. "Habit Formation in Consumption and Its Implications for Monetary-Policy Models," American Economic Review, American Economic Association, vol. 90(3), pages 367-390, June.
    5. Alexander Ludwig & Torsten M Sloek, 2002. "The Impact of Changes in Stock Prices and House Priceson Consumption in OECD Countries," IMF Working Papers 02/1, International Monetary Fund.
    6. Kozicki, Sharon & Tinsley, P. A., 1999. "Vector rational error correction," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1299-1327, September.
    7. Jeanfils, P., 2000. "A Model with Explicit Expectations for Belgium," Papers 4, Warwick - Development Economics Research Centre.
    8. Marc-André Gosselin & René Lalonde, 2002. "Une approche éclectique d'estimation du PIB potentiel américain," Staff Working Papers 02-36, Bank of Canada.
    9. Campbell, John Y & Mankiw, N Gregory, 1990. "Permanent Income, Current Income, and Consumption," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 265-279, July.
    10. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    11. Shea, John, 1995. "Union Contracts and the Life-Cycle/Permanent-Income Hypothesis," American Economic Review, American Economic Association, vol. 85(1), pages 186-200, March.
    12. Marjorie Flavin, 1985. "Excess Sensitivity of Consumption to Current Income: Liquidity Constraints or Myopia?," Canadian Journal of Economics, Canadian Economics Association, vol. 18(1), pages 117-136, February.
    13. Flint Brayton & Peter A. Tinsley, 1996. "A guide to FRB/US: a macroeconomic model of the United States," Finance and Economics Discussion Series 96-42, Board of Governors of the Federal Reserve System (U.S.).
    14. Marc-André Gosselin & Greg Tkacz, 2001. "Evaluating Factor Models: An Application to Forecasting Inflation in Canada," Staff Working Papers 01-18, Bank of Canada.
    15. Batchelor, Roy & Dua, Pami, 1992. "Survey Expectations in the Time Series Consumption Function," The Review of Economics and Statistics, MIT Press, vol. 74(4), pages 598-606, November.
    16. Peter A. Tinsley, 1993. "Fitting both data and theories: polynomial adjustment costs and error- correction decision rules," Finance and Economics Discussion Series 93-21, Board of Governors of the Federal Reserve System (U.S.).
    17. Flint Brayton & Eileen Mauskopf & David L. Reifschneider & Peter A. Tinsley & John Williams, 1997. "The role of expectations in the FRB/US macroeconomic model," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Apr, pages 227-245.
    18. Jonathan McCarthy & Richard Peach, 2002. "Monetary policy transmission to residential investment," Economic Policy Review, Federal Reserve Bank of New York, issue May, pages 139-158.
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    More about this item


    Economic models; Econometric and statistical methods; Business fluctuations and cycles;

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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