Abstract
This paper analyzes the impact of wages on the recruitment and retention of part-time and temporary workers by matching store data with job advertisements in the retail and food service industries to construct a unique dataset. For the recruitment analysis, we proposed constructing store panel data as one strategy to overcome challenges identified in previous studies. This yielded an elasticity of 4.7% for the number of applicants and 1.9% for the number of hires. In the retention analysis, while some evidence suggested higher wages reduce turnover, the results were mixed.
