美国名义工资刚性下降:来自工人-企业关联数据的新证据

André Kurmann, Erika McEntarfer
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引用次数: 38

摘要

本文使用来自纵向雇主家庭动态(LEHD)项目的行政工人-公司关联数据,对美国一个具有代表性的大州进行了名义工资向下刚性(DNWR)的程度和后果的研究。在经济大衰退之前,只有7-8%的留职者的名义时薪与一年前相同——大大低于之前基于调查的数据——大约20%的留职者经历了工资削减。在大衰退期间,减薪的发生率上升到30%,随后随着经济复苏,工资冻结的比例大幅上升到16%。由于工作时间的系统性变化,在职者的总收入比小时工资率表现出更少的零变化和更大的减少发生率。这一结果与文献中的同时发现是一致的,即基本工资的减少极为罕见,但公司使用不同形式的非基本工资和工作时间的变化来灵活调整劳动力成本。然后,我们利用LEHD的工人-公司联系,发现在大衰退期间,具有DNWR指标的公司每年减少的就业人数约为1.2%。这种负面影响是由明显下降的就业率驱动的,并持续到经济复苏。我们的研究结果表明,尽管总体上工资削减的发生率相对较大,但DNWR具有相当大的配置后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Downward Nominal Wage Rigidity in the United States: New Evidence From Worker-Firm Linked Data
This paper examines the extent and consequences of Downward Nominal Wage Rigidity (DNWR) using administrative worker-firm linked data from the Longitudinal Employer Household Dynamics (LEHD) program for a large representative U.S. state. Prior to the Great Recession, only 7-8% of job stayers are paid the same nominal hourly wage rate as one year earlier - substantially less than previously found in survey-based data - and about 20% of job stayers experience a wage cut. During the Great Recession, the incidence of wage cuts increases to 30%, followed by a large rise in the proportion of wage freezes to 16% as the economy recovers. Total earnings of job stayers exhibit even fewer zero changes and a larger incidence of reductions than hourly wage rates, due to systematic variations in hours worked. The results are consistent with concurrent findings in the literature that reductions in base pay are exceedingly rare but that firms use different forms of non-base pay and variations in hours worked to flexibilize labor cost. We then exploit the worker-firm link of the LEHD and find that during the Great Recession, firms with indicators of DNWR reduced employment by about 1.2% more per year. This negative effect is driven by significantly lower hiring rates and persists into the recovery. Our results suggest that despite the relatively large incidence of wage cuts in the aggregate, DNWR has sizable allocative consequences.
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