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An application of the transformed kernel density estimation to labor earnings in Spain

Author

Listed:
  • Montserrat Guillen Estany
  • Catalina Bolance Losilla

    (Universitat de Barcelona)

Abstract

Most economic data are difficult to explore with the global window width kernel density estimator, because they require different amounts of smoothing in different locations. When data are right-skewed one possible approach to this problem is based on transformations of the data. We propose a simple method based on the skewness shown in the original data set. We illustrate the potential of our approach with two examples and we evaluate its usefulness when working with microeconomic data. The estimation algorithm is described. We discuss the application of our results to the study of labor earnings in the Spanish population using information from the Spanish Family Expenditure Survey.

Suggested Citation

  • Montserrat Guillen Estany & Catalina Bolance Losilla, 1998. "An application of the transformed kernel density estimation to labor earnings in Spain," Working Papers in Economics 33, Universitat de Barcelona. Espai de Recerca en Economia.
    • Handle: RePEc:bar:bedcje:199833
    as

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    More about this item

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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