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Income Function of Chilean Households: Life Cicle and Persistence of Shocks

Statistical information about households, coming from the National Statistics Bureau’s supplementary income survey for 1990-1998 (approximately 30,000 homes annually) reveals that the expected component of Chilean households’ income function is significantly determined by the effects of age, generational cohort, and time, along with a set of idiosyncratic household characteristics. To determine the dynamics of the random component, the process that supports the average residue by generation is estimated, which seems to be best described by either a moving average process of first and second order, or an autoregressive process of first order. However, separating by educational level, only the income functions of low-education-head households follow these processes, accepting white noise for higher-education households, which accounts for the influence of less educated households in the results for the full sample.

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Paper provided by Central Bank of Chile in its series Working Papers Central Bank of Chile with number 257.

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Date of creation: May 2004
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Handle: RePEc:chb:bcchwp:257
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  2. Hause, John C, 1980. "The Fine Structure of Earnings and the On-the-Job Training Hypothesis," Econometrica, Econometric Society, vol. 48(4), pages 1013-29, May.
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  8. Baker, Michael, 1997. "Growth-Rate Heterogeneity and the Covariance Structure of Life-Cycle Earnings," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 338-75, April.
  9. Orazio P. Attanasio, 1998. "Consumption Demand," NBER Working Papers 6466, National Bureau of Economic Research, Inc.
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  11. Milton Friedman, 1957. "A Theory of the Consumption Function," NBER Books, National Bureau of Economic Research, Inc, number frie57-1, November.
  12. Zinde-Walsh, Victoria, 1988. "Some Exact Formulae for Autoregressive Moving Average Processes," Econometric Theory, Cambridge University Press, vol. 4(03), pages 384-402, December.
  13. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
  14. 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.
  15. Topel, Robert H & Ward, Michael P, 1992. "Job Mobility and the Careers of Young Men," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 439-79, May.
  16. R. Glenn Hubbard & Jonathan Skinner & Stephen P. Zeldes, 1993. "The Importance of Precautionary Motives in Explaining Individual and Aggregate Saving," NBER Working Papers 4516, National Bureau of Economic Research, Inc.
  17. Milton Friedman, 1957. "Introduction to "A Theory of the Consumption Function"," NBER Chapters, in: A Theory of the Consumption Function, pages 1-6 National Bureau of Economic Research, Inc.
  18. Christopher D. Carroll & Andrew A. Samwick, 1995. "The Nature of Precautionary Wealth," NBER Working Papers 5193, National Bureau of Economic Research, Inc.
  19. Hall, Robert E, 1978. "Stochastic Implications of the Life Cycle-Permanent Income Hypothesis: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 971-87, December.
  20. Duncan, Greg J & Hill, Daniel H, 1985. "An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data," Journal of Labor Economics, University of Chicago Press, vol. 3(4), pages 508-32, October.
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