Data and Code for: And Yet it Moves: Intergenerational Mobility in Italy
Principal Investigator(s): View help for Principal Investigator(s) Paolo Acciari, Italian Ministry of Finance; Alberto Polo, Bank of England; Giovanni Violante, Princeton University
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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replication_1 | 12/28/2021 10:08:PM | ||
replication_2 | 12/28/2021 10:06:PM |
Project Citation:
Acciari, Paolo, Polo, Alberto , and Violante, Giovanni. Data and Code for: And Yet it Moves: Intergenerational Mobility in Italy. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-06-15. https://doi.org/10.3886/E151642V1
Project Description
Summary:
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We estimate intergenerational income mobility in Italy using administrative data from tax returns. Our estimates of mobility in Italy are higher than prior work using survey data and other indirect methods. The rank-rank slope of parent-child income in Italy is 0.22, compared to 0.18 in Denmark and 0.34 in the United States. The probability that a child reaches the top quintile of the national income distribution starting from a family in the bottom quintile is 0.11. Upward mobility is higher for sons and first-born children. We uncover substantial geographical variation: upward mobility rates are much higher in Northern Italy, where provinces have higher measured school quality, more stable families, and more favorable labor market conditions.
Scope of Project
JEL Classification:
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J31 Wage Level and Structure; Wage Differentials
J61 Geographic Labor Mobility; Immigrant Workers
J62 Job, Occupational, and Intergenerational Mobility; Promotion
R10 General Regional Economics (includes Regional Data)
J31 Wage Level and Structure; Wage Differentials
J61 Geographic Labor Mobility; Immigrant Workers
J62 Job, Occupational, and Intergenerational Mobility; Promotion
R10 General Regional Economics (includes Regional Data)
Geographic Coverage:
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Italy
Time Period(s):
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1/1/1998 – 12/31/2018
Universe:
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1,720,000 parents-child pairs, data from tax returns matched through social security numbers
Data Type(s):
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administrative records data
Collection Notes:
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Individual records are not available, we only report aggregated statistics
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