Evaluating Theories of the Income Dynamics: A Probabilistic Approach
Klaus Neusser () and
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Robert Aebi: Institute for Mathematical Statistic, University of Berne
No 61, Economics Series from Institute for Advanced Studies
The paper proposes an approach to evaluate hypotheses about transition dynamics when only the distributions at two points in time are observed. Using the principle of statistical mechanics, we show how to adjust in the "most probable" way a hypothesis so 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.
Keywords: Transition matrices; Large deviation; Relative entropy; Income dynamics (search for similar items in EconPapers)
JEL-codes: C10 J30 (search for similar items in EconPapers)
Pages: 20 pages
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https://irihs.ihs.ac.at/id/eprint/1136 First version, 1999 (application/pdf)
Working Paper: Evaluating Theories of Income Dynamics: A Probabilistic Approach (1999)
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Persistent link: https://EconPapers.repec.org/RePEc:ihs:ihsesp:61
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