Long-Run Saving Dynamics: Evidence from Unexpected Inheritances
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Long-Run Saving Dynamics: Evidence from Unexpected Inheritances. / Druedahl, Jeppe; Martinello, Alessandro.
In: The Review of Economics and Statistics, Vol. 104, No. 5, 2022, p. 1079-1095.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Long-Run Saving Dynamics: Evidence from Unexpected Inheritances
AU - Druedahl, Jeppe
AU - Martinello, Alessandro
PY - 2022
Y1 - 2022
N2 - We exploit inheritance episodes to provide novel causal evidence on the long-run effects of a large financial windfall on saving behavior. For identification, we combine a longitudinal panel of administrative wealth reports with variation in the timing of sudden, unexpected parental deaths. We show that after inheritance net worth converges towards the path established before parental death, with only a third of the initial windfall remaining after nine years. We interpret these findings through the lens of a generalized consumption-saving framework. To quantitatively replicate this behavior, life-cycle consumption models require impatient consumers and strong precautionary saving motives.
AB - We exploit inheritance episodes to provide novel causal evidence on the long-run effects of a large financial windfall on saving behavior. For identification, we combine a longitudinal panel of administrative wealth reports with variation in the timing of sudden, unexpected parental deaths. We show that after inheritance net worth converges towards the path established before parental death, with only a third of the initial windfall remaining after nine years. We interpret these findings through the lens of a generalized consumption-saving framework. To quantitatively replicate this behavior, life-cycle consumption models require impatient consumers and strong precautionary saving motives.
U2 - 10.1162/rest_a_01004
DO - 10.1162/rest_a_01004
M3 - Journal article
VL - 104
SP - 1079
EP - 1095
JO - Review of Economics and Statistics
JF - Review of Economics and Statistics
SN - 0034-6535
IS - 5
ER -
ID: 257088041