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Implications of Aggregation with Common Factors

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Author Info
Granger, C. W. J.

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Abstract

Many observed macrovariables are simple aggregates over a large number of microunits. It is pointed out that the generating process of the macrovariables is largely determined by the common factors in the generating mechanisms of the microvariables, even though these factors may be very unimportant at the microlevel. It follows that macrorelationships are simpler than the complete microrelationships, but that empirical investigations of microrelationships may not catch those components, containing common factors, which will determine the macrorelationship. It is also shown that an aggregate expectation or forecast is simply the common factor component of the individual agents expectations.

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Publisher Info
Article provided by Cambridge University Press in its journal Econometric Theory.

Volume (Year): 3 (1987)
Issue (Month): 02 (April)
Pages: 208-222
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Handle: RePEc:cup:etheor:v:3:y:1987:i:02:p:208-222_01

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  1. Jean Imbs & Eric Jondeau & Florian Pelgrin, 2007. "Aggregating Phillips curves," Working Paper Series 785, European Central Bank. [Downloadable!]
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  2. Heather M. Anderson & Farshid Vahid, 2003. "Nonlinear Correlograms and Partial Autocorrelograms," Monash Econometrics and Business Statistics Working Papers 19/03, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
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  3. Andrea Silvestrini & David Veredas, 2008. "Temporal aggregation of univariate and multivariate time series models: A survey," Temi di discussione (Economic working papers) 685, Bank of Italy, Economic Research Department. [Downloadable!]
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  4. Andrea, SILVESTRINI, 2005. "Temporal aggregaton of univariate linear time series models," Discussion Papers (ECON - Département des Sciences Economiques) 2005044, Université catholique de Louvain, Département des Sciences Economiques. [Downloadable!]
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  5. Raffaella Giacomini & Clive W.J. Granger, 2001. "Aggregation of Space-Time Processes," University of California at San Diego, Economics Working Paper Series 2001-07, Department of Economics, UC San Diego. [Downloadable!]
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  6. Forni, Mario & Lippi, Marco & Reichlin, Lucrezia, 2003. "Opening the Black Box: Structural Factor Models versus Structural VARs," CEPR Discussion Papers 4133, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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