This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Approximate Aggregation

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Eric R Young () (Economics University of Virginia)

Additional information is available for the following registered author(s):

Abstract

This paper revisits the approximate aggregation result of Krusell and Smith (1998). For the stochastic growth model with inelastic labor supply and uninsurable shocks to employment, those authors found that the mean was sufficient to forecast future prices; since prices are known functions of only aggregate capital, the fact that the mean evolves independently of the rest of the distribution rendered it the only relevant piece of information contained in the cross-sectional distribution. I compute the implications of the algorithm for many features of the cross-sectional distribution, finding that the model produces distributions which feature independent central moments. What this means is that the usual statement 'Only the Mean Matters' really should be augmented with the phrase 'for the Evolution of the Mean,' as the mean does not provide any useful information for those higher-order moments. Nonlinear statistics computed from the distribution barely depend on the mean and do not influence its evolution, so that again the mean fails to provide sufficient information to track all the implications of the model. I next consider the possibility of self-fulfilling equilibria, in which the idea that agents make decisions based on limited information that somehow results in only those variables mattering. I test this idea in two ways. First, holding the behavior of every agent constant except one (who is of measure zero), I consider whether that household could benefit in terms of forecasting accuracy by using the information contained in higher-order moments and statistics; I find that projecting the forecasting error on a wide spectrum of variables fails to uncover even one that has a signficant impact on the accuracy of the forecast for next period's mean. Second, I allow for some or all of the households in the economy to explicitly use those higher-order statistics for forecasting, again finding no argument for doing so. Even when only a fraction of households use additional information, so that their forecasts are statistically more accurate than the ones who do not, they do not tend to get systematically wealthier over time. These tests suggest strongly that self-fulfilling equilibria are not a feature of this economy. In the last section of the paper, I consider three economies in which there is cross-sectional heterogeneity in the marginal propensity to save out of wealth. Krusell and Smith (1998) point to the relative homogeneity of the MPS as an important feature for generating approximate aggregation. I show that homogeneity is not really sufficient, as each of the example economies feature large cross-sectional dispersion in MPS but nevertheless nearly aggregate. The key feature is rather a low amount of variation in this distribution over the business cycle -- in no economy does there occur significant movements in the distribution of MPS with respect to changes in the aggregate state

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.people.virginia.edu/~ey2d/papers/appagg.pdf
Our checks indicate that this address may not be valid because: 404 Not Found (http://www.people.virginia.edu/~ey2d/papers/appagg.pdf [307 Temporary Redirect]--> http://people.virginia.edu/~ey2d/papers/appagg.pdf). If this is indeed the case, please notify (Christopher F. Baum)
File Format: application/pdf
File Function: main text
Download Restriction: no

Publisher Info
Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2005 with number 141.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: 11 Nov 2005
Date of revision:
Handle: RePEc:sce:scecf5:141

Contact details of provider:
Email:
Web page: http://comp-econ.org/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: Aggregation Approximation Business Cycles

Other versions of this item:

Find related papers by JEL classification:
C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Min Ouyang, 2005. "The Scarring Effect of Recessions," Working Papers 050609, University of California-Irvine, Department of Economics. [Downloadable!]
    Other versions:
  2. Yann Algan & Olivier Allais & Wouter J. Den Haan, 2006. "Solving heterogeneous-agent models with parameterized cross-sectional distributions," PSE Working Papers 2006-46, PSE (Ecole normale supérieure). [Downloadable!]
    Other versions:
  3. Andrea Pescatori, 2007. "Incomplete markets and households’ exposure to interest rate and inflation risk: implications for the monetary policy maker," Working Paper 0709, Federal Reserve Bank of Cleveland. [Downloadable!]
  4. Min Ouyang, 2006. "Plant Life Cycle and Aggregate Employment Dynamics," Working Papers 050632, University of California-Irvine, Department of Economics. [Downloadable!]
  5. Francisco Covas & Shigeru Fujita, 2007. "Private risk premium and aggregate uncertainty in the model of uninsurable investment risk," Working Papers 07-30, Federal Reserve Bank of Philadelphia. [Downloadable!]
Statistics
Access and download statistics

Did you know? About 750 journals are listed on RePEc.

This page was last updated on 2008-7-9.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.