Improving Models of Income Dynamics using Cross-Section-Information
AbstractBased on a relative entropy approach, this paper proposes a method to estimate or update transition matrices using just cross-sectional observations at two points in time. The method is then applied to explain the development of the US income distribution. Starting from three hypothesized transition matrices and a transition matrix estimated from the PSID data, we show how these matrices must be adjusted in the light of the cross-sectional information. Finally, we explore the consequences of these updated transition matrices for the future development of the US income distribution.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Swiss Society of Economics and Statistics (SSES) in its journal Swiss Journal of Economics and Statistics.
Volume (Year): 144 (2008)
Issue (Month): II (June)
Contact details of provider:
Postal: c/o SNB/BNS, Börsenstrasse 15, PO Box 2800, CH-8022 Zürich
Phone: +41 (0)44 631 32 34
Fax: +41 (0)44 631 39 01
Web page: http://www.sjes.ch
More information through EDIRC
income distribution; income dynamics; relative entropy;
Find related papers by JEL classification:
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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.:
- Adelman, Irma & Morley, Samuel & Schenzler, Christoph & Warning, Matthew, 1994. "Estimating income mobility from census data," Journal of Policy Modeling, Elsevier, vol. 16(2), pages 187-213, April.
- Robert Aebi & Klaus Neusser & Peter Steiner, 2005.
"A Large Deviation Approach to the Measurement of Mobility,"
dp0518, Universitaet Bern, Departement Volkswirtschaft.
- Robert Aebi & Klaus Neusser & Peter Steiner, 2006. "A Large Deviation Approach to the Measurement of Mobility," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 142(II), pages 195-222, June.
- Robert Aebi & Klaus Neusser & Peter Steiner, 2002. "A Large Deviation Approach to the Measurement of Mobility," Diskussionsschriften dp0220, Universitaet Bern, Departement Volkswirtschaft.
- Tauchen, George, 1986. "Finite state markov-chain approximations to univariate and vector autoregressions," Economics Letters, Elsevier, vol. 20(2), pages 177-181.
- Robert Aebi & Klaus Neusser & Peter Steiner, 1999. "Evaluating Theories of Income Dynamics: A Probabilistic Approach," Diskussionsschriften dp9905, Universitaet Bern, Departement Volkswirtschaft.
- Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
- White,Halbert, 1996.
"Estimation, Inference and Specification Analysis,"
Cambridge University Press, number 9780521574464, April.
- Burkhauser, Richard V, et al, 1999. "Testing the Significance of Income Distribution Changes over the 1980s Business Cycle: A Cross-National Comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 253-72, May-June.
- Erik Alencar de Figueirêdo & José Luis da Silva Netto Junior & Sabino da Silva Pôrto Junior, 2007. "Distribuição, Mobilidade e Polarização de Renda no Brasil: 1987 a 2003," Revista Brasileira de Economia, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 61(1), pages 7-32, August.
- Erik Figueiredo & Flávio Ziegelmann, 2010. "The dynamics of the Brazilian income," Economics Bulletin, AccessEcon, vol. 30(2), pages 1249-1260.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Steiner).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.