Evaluating Theories of the Income Dynamics: A Probabilistic Approach
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.
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- Atkinson, A B, 1997.
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- S Durlauf & Danny Quah, 1998. "The New Empirics of Economic Growth," CEP Discussion Papers dp0384, Centre for Economic Performance, LSE.
- Schluter, Christian, 1998. "Statistical inference with mobility indices," Economics Letters, Elsevier, vol. 59(2), pages 157-162, May.
- Shorrocks, A F, 1978. "The Measurement of Mobility," Econometrica, Econometric Society, vol. 46(5), pages 1013-1024, September.
- Trede, Mark M., 1994. "Statistical inference in mobility measurement: Sex differences in earnings mobility," Discussion Papers in Econometrics and Statistics 4/94, University of Cologne, Institute of Econometrics and Statistics. Full references (including those not matched with items on IDEAS)
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