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.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
14097.
Length: Date of creation: Jun 2008 Date of revision: Handle: RePEc:nbr:nberwo:14097
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Find related papers by JEL classification: E2 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination N32 - Economic History - - Labor and Consumers, Demography, Education, Income, and Wealth - - - U.S.; Canada: 1913- R1 - Urban, Rural, and Regional Economics - - General Regional Economics
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