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Correlated income shocks and excess smoothness of consumption
Institution:1. Department of Human Genetics, McGill University Health Centre Research Institute, Glen Site, Montreal H4A 3J1, Canada;2. Department of Obstetrics and Gynecology, McGill University Health Centre Research Institute, Glen Site, Montreal H4A 3J1, Canada;3. Genetic Unit, Department of Pediatrics, All India Institute of Medical Sciences in New Delhi (AIIMS), New Delhi, 110029, India;4. Department of Obstetrics and Gynecology, Post Graduate Institute of Medical Education and Research, PGIMER, Chandigarh 160012, India;5. Department of Obstetrics and Gynecology, University of Vermont, Given 263, 89 Beaumont Ave., Burlington, VT 05405, USA;6. Cytology and Gynecological Pathology, Post Graduate Institute of Medical Education and Research, PGIMER, Chandigarh 160012, India;1. School of Molecular Bioscience, The University of Sydney, Sydney, NSW 2006, Australia;2. School of Biotechnology and Biomolecular Sciences, The University of New South Wales, NSW 2052, Australia
Abstract:In the literature, econometricians typically assume that household income is the sum of a random walk permanent component and a transitory component, with uncorrelated permanent and transitory shocks. Using data on realized individual incomes and individual expectations of future incomes from the Survey of Italian Households׳ Income and Wealth, I find that permanent and transitory shocks are negatively correlated. Relaxing the assumption of no correlation between the shocks, I explore the effects of correlated income shocks on the estimated consumption insurance against permanent and transitory shocks, and consumption smoothness using a life-cycle model with self-insurance calibrated to U.S. data. Negatively correlated income shocks result in smoother consumption, and upward-biased estimates of the insurance against transitory (and permanent when borrowing constraints are not tight) income shocks. While the life-cycle model with negatively correlated shocks fits well the sensitivity of consumption to current income shocks observed in U.S. data, it falls short of explaining the sensitivity of consumption to income shocks cumulated over a longer horizon.
Keywords:Buffer stock model of savings  Consumption dynamics  Life cycle  Income processes  Correlated shocks  Permanent-transitory decomposition
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