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Econometric Inference, Cyclical Fluctuations, and Superior Information Author info | Abstract | Publisher info | Download info | Related research | Statistics Denis Larocque
Michel Normandin
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This paper presents and assesses a procedure to estimate conventional parameters characterizing fluctuations at the business cycle frequency, when the economic agents' information set is superior to the econometrician's one. Specifically, we first generalize the conditions under which the econometrician can estimate these "cyclical fluctuation" parameters from augmented laws of motion for forcing variables that fully recover the agents' superior information. Second, we document the econometric properties of the estimates when the augmented laws of motion are possibly misspecified. Third, we assess the ability of certain information criteria to detect the presence of superior information.
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Paper provided by CIRPEE in its series Cahiers de recherche with number
0434.
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Date of creation: 2004Date of revision:
Handle: RePEc:lvl:lacicr:0434Contact details of provider: Postal: CP 8888, succursale Centre-Ville, Montr�al, QC H3C 3P8 Phone: (514) 987-8161 Web page: http://www.cirpee.org/ More information through EDIRC
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Keywords: Block bootstrap ; Hidden variables ; laws of motion for forcing variables ; Monte Carlo simulations ; Other versions of this item:
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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Macroeconomics
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