Nature or Nurture? Learning and the Geography of Female Labor Force Participation

Alessandra Fogli () and Laura Veldkamp ()

No 14097, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: One of the most dramatic economic transformations of the past century has been the entry of women into the labor force. While many theories explain why this change took place, we investigate the process of transition itself. We argue that local information transmission generates changes in participation that are geographically heterogeneous, locally correlated and smooth in the aggregate, just like those observed in our data. In our model, women learn about the effects of maternal employment on children by observing nearby employed women. When few women participate in the labor force, data is scarce and participation rises slowly. As information accumulates in some regions, the effects of maternal employment become less uncertain, and more women in that region participate. Learning accelerates, labor force participation rises faster, and regional participation rates diverge. Eventually, information diffuses throughout the economy, beliefs converge to the truth, participation flattens out and regions become more similar again. To investigate the empirical relevance of our theory, we use a new county-level data set to compare our calibrated model to the time-series and geographic patterns of participation.

JEL-codes: E2 J16 N32 R1 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-geo, nep-lab, nep-mac and nep-ure
Date: 2008-06
Note: EFG LS
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