Replication data for: Some Evidence on the Importance of Sticky Wages
Principal Investigator(s): View help for Principal Investigator(s) Alessandro Barattieri; Susanto Basu; Peter Gottschalk
Version: View help for Version V1
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2011_0215_Programs-and-data | 10/25/2021 02:08:PM | ||
LICENSE.txt | text/plain | 14.6 KB | 10/12/2019 05:58:PM |
Project Citation:
Barattieri, Alessandro, Basu, Susanto, and Gottschalk, Peter. Replication data for: Some Evidence on the Importance of Sticky Wages. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114290V1
Project Description
Summary:
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We present evidence on the frequency of nominal wage adjustment
using SIPP data adjusted for measurement error. The SIPP is a
representative sample of the US population. Our main results are:
(i) The average quarterly probability of a nominal wage change
is between 21.1 and 26.6 percent, depending on the assumptions
used. (ii) Wage changes are much more likely when workers change
jobs. (iii) The frequency of wage adjustment does not display
significant seasonal patterns. (iv) The hazard of a nominal wage
change first increases and then decreases, with a peak at 12 months.
Scope of Project
Subject Terms:
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Measurement Error
JEL Classification:
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E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
E32 Business Fluctuations; Cycles
E52 Monetary Policy
J31 Wage Level and Structure; Wage Differentials
E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
E32 Business Fluctuations; Cycles
E52 Monetary Policy
J31 Wage Level and Structure; Wage Differentials
Geographic Coverage:
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Unites States
Time Period(s):
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1996 – 2000
Data Type(s):
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survey data
Methodology
Data Source:
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SIPP
Unit(s) of Observation:
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Hourly workers,
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