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Assessing the City Size Earnings Premium in Germany.

机译:评估德国的城市规模收入溢价。

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摘要

I estimate the city size earnings elasticity for Germany, accounting for possible selection of more productive workers into bigger labor markets. The short-run elasticity for Germany suggests that a worker moving from rural areas to medium sized cities can expect his earnings to increase by 6.1 percent on impact. In the long run, workers' earnings in bigger cities increase by even more, due to exposure effects: work experience gained in bigger cities increases earnings by more than the kind earned in smaller cities. For instance, working 30 years in medium sized cities, as opposed to the rural areas of Germany, adds an extra 3.1 percent to earnings. To better understand the result, I decompose the differences into the sources of earnings growth: growth through job mobility and on the job. I find that workers in bigger labor markets experience fewer earnings losses when going through unemployment, but also fewer gains on-the-job. Further, the Job-Unemployment-Job rate is lower in bigger cities and Job-Job changes are similar in frequency and earnings change conditional on mobility. Taken together, I interpret the findings as evidence for thick labor market effects leading to lower unemployment risk for workers. Learning mechanisms, as sources for agglomeration economies, are likely less relevant due to the lower on-the-job earnings gains in bigger cities.
机译:我估计了德国城市规模的收入弹性,这考虑了可能选择更多生产性工人进入更大的劳动力市场。德国的短期弹性表明,从农村地区迁移到中型城市的工人可以预期他的收入因受到影响而增长6.1%。从长远来看,由于受到暴露的影响,大城市的工人收入增长甚至更多:大城市获得的工作经验所带来的收入比小城市获得的收入要多。例如,与德国的农村地区相比,在中型城市工作了30年,使收入增加了3.1%。为了更好地理解结果,我将差异分解为收入增长的来源:通过工作流动和在职增长。我发现,劳动力市场较大的工人在经历失业时遭受的收入损失较少,但在工作中获得的收入也较少。此外,大城市的工作-失业率较低,而工作-就业变化的频率和收入变化取决于流动性。综上所述,我将这些发现解释为劳动力市场影响严重导致工人失业风险降低的证据。学习机制作为集聚经济体的来源,可能由于大城市的在职收入增长较低而变得不那么重要。

著录项

  • 作者

    Khun Jush, Gita.;

  • 作者单位

    The University of Chicago.;

  • 授予单位 The University of Chicago.;
  • 学科 Economics.;Labor economics.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 52 p.
  • 总页数 52
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 宗教;
  • 关键词

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