Some Evidence on the Importance of Sticky Wages
利用美国SIPP数据调整测量误差后，发现名义工资调整的季度概率在21.1%至26.6%之间，换工作时调整更频繁，调整风险先升后降，12个月达峰值。
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.