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Improving Models of Income Dynamics using Cross-Section-Information

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  • Robert Aebi
  • Klaus Neusser
  • Peter Steiner

Abstract

Based 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.

Suggested Citation

  • 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.
    • Handle: RePEc:ses:arsjes:2008-ii-1
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    References listed on IDEAS

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    1. Richard V. Burkhauser & Amy Crews Cutts & Mary C. Daly & Stephen P. Jenkins, 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 253-272, May.
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    3. Tauchen, George, 1986. "Finite state markov-chain approximations to univariate and vector autoregressions," Economics Letters, Elsevier, vol. 20(2), pages 177-181.
    4. Aebi, Robert & Neusser, Klaus & Steiner, Peter, 1999. "Evaluating Theories of the Income Dynamics: A Probabilistic Approach," Economics Series 61, Institute for Advanced Studies.
    5. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    6. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    7. 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.
    8. 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.
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    Cited by:

    1. Erik Figueiredo & Flávio Ziegelmann, 2010. "The dynamics of the Brazilian income," Economics Bulletin, AccessEcon, vol. 30(2), pages 1249-1260.

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    More about this item

    Keywords

    income distribution; income dynamics; relative entropy;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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