Career Choice and Wage Growth
通过结构估计一个包含通用人力资本积累和职业与公司选择的搜索模型，区分了生命周期中不同因素对工资增长的相对重要性，并发现以往工具变量方法严重低估了公司特定匹配对工资增长的作用。
In this article, I present structural estimates of a search model that flexibly incorporates general human capital accumulation along with career and firm choice, where a career is empirically identified as a combination of industry and occupation. I use these estimates to empirically distinguish between the relative importance of various factors for generating wage growth over the life cycle. Evidence presented in the article highlights the importance of considering the two-stage search process that originates from the model. In particular, I demonstrate that previous instrumental variables methods dramatically underestimate the importance of firm-specific matches for wage growth.