Using proprietary data from a Chilean online job board, we  find strong, positive assortative matching at the worker-position level, both along observed dimensions and on unobserved characteristics (OLS Mincer residual wages). We also  find that this positive assortative matching is robustly procyclical. Then, we use the generalized deferredacceptance algorithm to simulate ex post matches to compare our results to the existing empirical literature. Under all considered scenarios of our simulations, positive assortative matching is preserved from the application stage to the realized matches.  JEL Codes: E24, E32, J24, J60.

Stefano Banfi

Sekyu Choi

Keywords: assortative matching, labor markets., Online search