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Measuring the Income Process in Italy

Author

Listed:
  • Alessandro Bucciol

    (Università degli Studi di Verona)

Abstract

We use a panel dataset from the SHIW survey to study the features of household income in Italy. Income is described as a combination of deterministic and random components. In aggregate deterministic income grows at an average annual rate of 1.8% net of inflation, shocks feature stationarity, and the variance of persistent and transitory shocks is around 0.03. Income grows more quickly when the head is more highly educated; the volatility of shocks is sensitive to education and the job sector of the head. Only for public sector workers we find evidence of non-stationary shocks.

Suggested Citation

  • Alessandro Bucciol, 2012. "Measuring the Income Process in Italy," Rivista di Politica Economica, SIPI Spa, issue 1, pages 175-196, January-M.
    • Handle: RePEc:rpo:ripoec:y:2012:i:1:p:175-196
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    Citations

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    Cited by:

    1. Renata Bottazzi & Serena Trucchi & Matthew Wakefield, 2020. "Consumption Responses to a Large Shock to Financial Wealth: Evidence from Italy," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(2), pages 762-789, April.

    More about this item

    Keywords

    income process; income heterogeneity; persistent and transitory shocks;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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