Micro Heterogeneity and Macro Dynamics: an Empirical Analysis
AbstractRecent developments in the aggregation of large cross section of linear time series processes provide a complete characterization of the link between the dynamic properties of the aggregate series and the shape and degree of heterogeneity of the coefficients of the micro time series (see Lippi and Zaffaroni, 1999). These statistical results emphasizes the relevance of the heterogeneity in understanding the properties of the aggregates and that even mild difference in the form of heterogeneity can imply relevant difference at macro level. Those results allow to close the gap between micro and macro behavior, at least in the case when the reduced form dynamics at micro level derived from general equilibrium models can be well approximated by an ARMA with exogenous regressors, which represents the exact solution of linear-quadratic dynamic programming models of intertemporal optimization. We use the PSID data set. Although the micro processes appear to be stationary, the form and degree of micro parameters heterogenity accounts for the nonstationarity and persistence observed in aggregate data, well described by the long memory paradigm. Further, we find evidence of both a common and an idiosyncratic component, at the micro level which, in contrast to a common belief, appear to be equally important for aggregate dynamics.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2001 with number 130.
Date of creation: 01 Apr 2001
Date of revision:
Contact details of provider:
Web page: http://www.econometricsociety.org/conference/SCE2001/SCE2001.html
More information through EDIRC
aggregation; heterogeneity; nonstationarity; common and idiosyncratic shock;
Find related papers by JEL classification:
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
If references are entirely missing, you can add them using this form.