我国城市家政市场的工资——基于街道层面需求数据的证据

Wage of Domestic Workers in Chinese Cities——Evidence from Community-Level Data

本文通过2010年人口普查微观数据与2015—2017年网络大样本家政从业者信息数据的匹配,研究了以街道层面高低技能比为代理变量的需求对城市家政市场的影响。实证结果发现,高低技能比每上升1个标准差(约48个百分点),家政女工的预期月工资将提高101元左右,约为样本期内平均月工资的2.5%。分位数回归结果表明,这种影响在不同工资分位点上有显著异质性,最低和最高工资分组点对高低技能比变化的反应最为敏感。进一步的稳健性检验结果与基准保持一致。

We proxy high-low skill ratio for local demand of nannies to study the impacts of community-level demand on expected wages of domestic workers.Using data from 2010 population census and nanny information website during 2015-2017,we find that a standard-deviation increase in high-low skill ratio(approximately 48 percentage points)will lead to an increase of 101 RMB in monthly expected wages(equivalent to 2.5 percent of average monthly expected wages during the sample period)of domestic workers from Chinese cities.This effect is demonstrated to be heterogeneous according to following quantile regressions which show that the lowest and highest wage quantiles increase more sharply and significantly due to an increase in high-low skill ratio.The baseline results remain robust to a battery of robustness checks.