摘要翻译:
我们使用1976年至2019年的CPS调查数据分析了美国时薪分布变化的来源。我们通过建立年工作时间分布模型和估计一个不可分的工资模型来解释就业决策中的选择偏差,该模型使用一个控制函数来解释选择。这允许将所有工作时间为正数的个人包括在内,并提供了对工资分配的更全面描述。我们将工资分配的变化分解为构成效应、结构效应和选择效应。构成效应在所有分位数上都增加了工资,但变化的模式一般由结构效应决定。选择效应变化的证据只出现在女性工资分布的较低分位数。这些不同的组成部分结合在一起,导致工资不平等的大幅增加。
---
英文标题:
《Decomposing Changes in the Distribution of Real Hourly Wages in the U.S》
---
作者:
Iv\'an Fern\'andez-Val, Franco Peracchi, Aico van Vuuren and Francis
Vella
---
最新提交年份:
2020
---
分类信息:
一级分类:Economics 经济学
二级分类:Econometrics 计量经济学
分类描述:Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论,微观计量经济学,宏观计量经济学,通过新方法发现的经济关系的实证内容,统计推论应用于经济数据的方法论方面。
--
一级分类:Statistics 统计学
二级分类:Methodology 方法论
分类描述:Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods
设计,调查,模型选择,多重检验,多元方法,信号和图像处理,时间序列,平滑,空间统计,生存分析,非参数和半参数方法
--
---
英文摘要:
We analyze the sources of changes in the distribution of hourly wages in the United States using CPS data for the survey years 1976 to 2019. We account for the selection bias from the employment decision by modeling the distribution of annual hours of work and estimating a nonseparable model of wages which uses a control function to account for selection. This allows the inclusion of all individuals working positive hours and provides a fuller description of the wage distribution. We decompose changes in the distribution of wages into composition, structural and selection effects. Composition effects have increased wages at all quantiles but the patterns of change are generally determined by the structural effects. Evidence of changes in the selection effects only appear at the lower quantiles of the female wage distribution. These various components combine to produce a substantial increase in wage inequality.
---
PDF链接:
https://arxiv.org/pdf/1901.00419


雷达卡



京公网安备 11010802022788号







