首页> 外文OA文献 >A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching
【2h】

A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching

机译:一种估算大型固定效应模型应用于工资决定因素和匹配的简便方法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Models with high dimensional sets of fixed effects are frequently used to examine, among others, linked employer-employee data, student outcomes and migration. Estimating these models is computationally difficult, so simplifying assumptions that are likely to cause bias are often invoked to make computation feasible and specification tests are rarely conducted. I present a simple method to estimate large two-way fixed effects (TWFE) and worker-firm match effect models without additional assumptions. It computes the exact OLS solution including estimates of the fixed effects and makes testing feasible even with multi-way clustered errors. An application using German linked employer-employee data illustrates the advantages: The data reject the assumptions of simpler estimators and omitting match effects biases estimates including the returns to experience and the gender wage gap. Specification tests detect both problems. The results suggest that firm fixed effects, not match effects, are the main channel through which job transitions drive wage dynamics, which underlines the importance of firm heterogeneity for labor market dynamics.
机译:具有高维固定效应集的模型经常用于检查关联的雇主-雇员数据,学生成绩和移民情况。估计这些模型在计算上很困难,因此经常调用简化可能导致偏差的假设以使计算可行,并且很少进行规格测试。我提出了一种简单的方法来估算大型双向固定效应(TWFE)和工人-企业匹配效应模型,而无需额外的假设。它可以计算出精确的OLS解决方案,包括对固定效果的估计,即使在出现多路聚集错误的情况下,测试也是可行的。使用德国链接的雇主-雇员数据的应用程序说明了优点:数据拒绝了更简单的估计量的假设,并且忽略了匹配效应偏差估计,包括经验回报和性别工资差距。规格测试可以检测到这两个问题。结果表明,企业固定效应而非匹配效应是工作转移推动工资动态的主要渠道,这凸显了企业异质性对劳动力市场动态的重要性。

著录项

  • 作者

    Mittag Nikolas;

  • 作者单位
  • 年度 2016
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号