The influence of geographic mobility and gender on Indiana wages

Timothy E. Zimmer et al.

Journal of Economic and Social Measurement2021https://doi.org/10.3233/jem-210481article
ABDC C
Weight
0.34

What the paper says

The study examines wage differentials of individuals experiencing unemployment episodes using a multivariate analysis of wage and unemployment records. The focus is the wage effect of small distance geographic mobility (micro-mobility) during job seeking. The results identify limitations on geographic micro-mobility as a source of wage disparity in the re-employment market. The study isolates persistent gender differences in geographic mobility rates and hypothesizes this as a potential source of gender-wage disparity in both the re-employment and greater labor market. The data and methods are unique. The dataset is Indiana administrative wage records over a ten-year period for individuals that experience unemployment episodes. The study assesses unemployment as an exogenous shock on wages to determine underlying influences in the labor market. The novel approach is unconstrained by limitations associated with aggregated or proxy data.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.3233/jem-210481

Or copy a formatted citation

@article{timothy2021,
  title        = {{The influence of geographic mobility and gender on Indiana wages}},
  author       = {Timothy E. Zimmer et al.},
  journal      = {Journal of Economic and Social Measurement},
  year         = {2021},
  doi          = {https://doi.org/https://doi.org/10.3233/jem-210481},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

The influence of geographic mobility and gender on Indiana wages

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.34

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.