Evaluating Theories of Income Dynamics: A Probabilistic Approach
AbstractThe paper proposes an approach to evaluate hypotheses about transition dynamics when only the distributions at two points in time are observed. Using principles of statistical mechanics, we show how to adjust in the "most probable" way a hypothesis such that it becomes compatible with the observed distributions. This adjustment procedure also allows to test hypotheses in a statistical sense. The test is based on the relative entropy and is equivalent to a likelihood ratio test. We apply our approach to compare the dynamics of the income distribution between men and women in the U.S. using PSID data.
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 InfoPaper provided by Universitaet Bern, Departement Volkswirtschaft in its series Diskussionsschriften with number dp9905.
Date of creation: Jun 1999
Date of revision:
Contact details of provider:
Postal: Schanzeneckstr. 1, PF 8573, CH-3001 Bern
Phone: 0041 31 631 45 06
Fax: 41 31 631 37 83
Web page: http://www.vwi.unibe.ch/content/publikationen/index_eng.html
More information through EDIRC
income dynamics; large deviation; relative entropy; misspecification;
Find related papers by JEL classification:
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
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.:
- Yuichi Kitamura & Michael Stutzer, 1997. "An Information-Theoretic Alternative to Generalized Method of Moments Estimation," Econometrica, Econometric Society, vol. 65(4), pages 861-874, July.
- Atkinson, A-B, 1996.
"Bringing Income Distribution in from the Cold,"
117, Economics Group, Nuffield College, University of Oxford.
- Durlauf,S.N. & Quah,D.T., 1998.
"The new empirics of economic growth,"
3, Wisconsin Madison - Social Systems.
- Steven N. Durlauf & Danny T. Quah, 1998. "The New Empirics of Economic Growth," Working Papers 98-01-012, Santa Fe Institute.
- Steven N. Durlauf & Danny T. Quah, 1998. "The New Empirics of Economic Growth," NBER Working Papers 6422, National Bureau of Economic Research, Inc.
- S Durlauf & Danny Quah, 1998. "The New Empirics of Economic Growth," CEP Discussion Papers dp0384, Centre for Economic Performance, LSE.
- White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
- Shorrocks, A F, 1978. "The Measurement of Mobility," Econometrica, Econometric Society, vol. 46(5), pages 1013-24, September.
- Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
- Schluter, Christian, 1998. "Statistical inference with mobility indices," Economics Letters, Elsevier, vol. 59(2), pages 157-162, May.
- Trede, Mark M., 1994. "Statistical inference in mobility measurement: Sex differences in earnings mobility," Discussion Papers in Statistics and Econometrics 4/94, University of Cologne, Department for Economic and Social Statistics.
- Robert Aebi & Klaus Neusser & Peter Steiner, 2008. "Improving Models of Income Dynamics using Cross-Section-Information," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 117-151, June.
- 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: (Silvia Glusstein-Gerber).
If references are entirely missing, you can add them using this form.