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On the Non-Stationarity of German Income Mobility (and Some Observations on Poverty Dynamics)

The intra-distributional mobility of German income dynamics is analysed using GSOEP. Transition probabilities are found to be time-varying. The tested models comprise various mixed Markov chains in discrete time and a non-stationary mover-stayer model is proposed. In order to explain the observed mobility profiles, we concentrate on one important income class -the poor- instead of the entire transition matrix. Various poverty duration models are examined.

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Paper provided by European University Institute in its series Economics Working Papers with number eco96/35.

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Length: 28 pages
Date of creation: 1996
Date of revision:
Handle: RePEc:eui:euiwps:eco96/35
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  1. Heckman, James J. & Singer, Burton, 1984. "Econometric duration analysis," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 63-132.
  2. John Bound & Alan B. Krueger, 1989. "The Extent of Measurement Error In Longitudinal Earnings Data: Do Two Wrongs Make A Right?," NBER Working Papers 2885, National Bureau of Economic Research, Inc.
  3. Christian Schluter, 1996. "Income Mobility in Germany: Evidence from Panel Data," STICERD - Distributional Analysis Research Programme Papers 17, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  4. Burton Singer & Seymour Spilerman, 1976. "Some Methodological Issues in the Analysis of Longitudinal Surveys," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 447-474 National Bureau of Economic Research, Inc.
  5. Peter Schmidt & Ann Dryden Witte, 1987. "Predicting Criminal Recidivism Using "Split Population" Survival Time Models," NBER Working Papers 2445, National Bureau of Economic Research, Inc.
  6. Burkhauser, Richard V. & Smeeding, Timothy M. & Merz, Joachim, 1994. "Relative Inequality and Poverty in Germany and the United States Using Alternative Equivalence Scales," MPRA Paper 7229, University Library of Munich, Germany.
  7. Jenkins, Stephen P, 1995. "Easy Estimation Methods for Discrete-Time Duration Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(1), pages 129-38, February.
  8. 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.
  9. Ruggles, Patricia & Williams, Roberton, 1989. "Longitudinal Measures of Poverty: Accounting for Income and Assets over Time," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 35(3), pages 225-43, September.
  10. Geweke, John & Marshall, Robert C & Zarkin, Gary A, 1986. "Mobility Indices in Continuous Time Markov Chains," Econometrica, Econometric Society, vol. 54(6), pages 1407-23, November.
  11. Pischke, Jorn-Steffen, 1995. "Measurement Error and Earnings Dynamics: Some Estimates from the PSID Validation Study," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 305-14, July.
  12. Shorrocks, A F, 1978. "The Measurement of Mobility," Econometrica, Econometric Society, vol. 46(5), pages 1013-24, September.
  13. Christian Schluter, 1996. "Income Distribution and Inequality in Germany: Evidence from Panel Data," STICERD - Distributional Analysis Research Programme Papers 16, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  14. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-56, July.
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