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Ownership of Stocks and Mutual Funds: A Panel Data Analysis

Author

Listed:
  • Rob Alessie

    (Utrecht University)

  • Stefan Hochguertel

    (Free University Amsterdam)

  • Arthur van Soest

    (RAND Corporation Tilburg University)

Abstract

This paper analyzes the ownership dynamics of stocks and mutual funds, using representative household panel data, the Dutch CentER Savings Survey 1993-1998. A bivariate dynamic binary-choice model is introduced, allowing for interactions between the two types of assets. We find that unobserved heterogeneity and state dependence play a large role for both types of assets. The positive relation between ownership of one type in one period and the other type in the next period is explained by correlated unobserved heterogeneity. A negative state-dependence effect of lagged ownership of stocks on ownership of mutual funds is found, which can be explained by the costs of shifting funds across the two forms of stockholding. © 2004 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Suggested Citation

  • Rob Alessie & Stefan Hochguertel & Arthur van Soest, 2004. "Ownership of Stocks and Mutual Funds: A Panel Data Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 783-796, August.
  • Handle: RePEc:tpr:restat:v:86:y:2004:i:3:p:783-796
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    References listed on IDEAS

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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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