Working Paper: CEPR ID: DP3534
Authors: Thomas Bauer; Stefan Bender
Abstract: This Paper uses a German employer-employee matched panel dataset to investigate the effect of organizational and technological changes on gross job and worker flows. The empirical results indicate that organizational change is skill-biased because it reduces predominantly net employment growth rates of unskilled and medium-skilled workers via higher job destruction and seperation rates, whereas the employment patterns of skilled workers are not affected significantly. New information technologies do not have significant effects on gross job and worker flows as soon as establishment fixed-effects are controlled for.
Keywords: Information Technology; Job Turnover; Linked Employer-Employee Dataset; Organizational Change; Worker Turnover
JEL Codes: J63; L23; O33
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| Organizational Change (L29) | Job Destruction (J63) |
| Organizational Change (L29) | Job Separation Rates (J63) |
| Job Destruction (J63) | Employment Stability (Unskilled and Medium-Skilled Workers) (J63) |
| Organizational Change (L29) | Employment Patterns (Skilled Workers) (J68) |
| New Information Technologies (L86) | Gross Job and Worker Flows (J60) |