Nature or Nurture? Learning and the Geography of Female Labor Force Participation
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.
We thank seminar participants at Chicago GSB, Wisconsin Madison, Minneapolis Federal Reserve, Princeton, European University in Florence, University of Southern California, New York University, Boston University, Bocconi, Pompeu Fabra, Ente Einaudi, Boston Federal Reserve and Harvard University and conference participants at 2008 AEA, SITE, the 2007 NBER Summer Institute, the SED conference, LAEF Households, Gender and Fertility conference, the NBER group on Macroeconomics across Time and Space, Midwest Macro Meetings, the NY/Philadelphia Workshop on Quantitative Macro, IZA/SOLE and Ammersee. We especially thank Stefania Marcassa for excellent research assistance and Stefania Albanesi, Roland Benabou, Raquel Bernal, Jason Faberman, Jeremy Greenwood, Luigi Guiso, Larry Jones, Patrick Kehoe, Narayana Kocherlakota, Ellen McGrattan and Fabrizio Perri for comments and suggestions. Laura Veldkamp thanks Princeton University for their hospitality and financial support through the Kenen fellowship. The views expressed herein are those of the author(s) and do not necessarily reflect the views of the National Bureau of Economic Research.
Alessandra Fogli & Laura Veldkamp, 2011. "Nature or Nurture? Learning and the Geography of Female Labor Force Participation," Econometrica, Econometric Society, vol. 79(4), pages 1103-1138, 07. citation courtesy of