Creator: Fogli, Alessandra and Veldkamp, Laura Series: Staff report (Federal Reserve Bank of Minneapolis. Research Department) Number: 386 Abstract:
In the last century, the evolution of female labor force participation has been S-shaped: It rose slowly at first, then quickly, and has leveled off recently. Central to this dramatic rise has been entry of women with young children. We argue that this S-shaped dynamic came from generations of women learning about the relative importance of nature (endowed ability) and nurture (time spent child-rearing) for children’s outcomes. Each generation updates their parents’ beliefs by observing the children of employed women. When few women participate in the labor force, most observations are uninformative and participation rises slowly. As information accumulates and the effects of labor force participation become less uncertain, more women participate, learning accelerates and labor force participation rises faster. As beliefs converge to the truth, participation flattens out. Survey data, wage data and participation data support our mechanism and distinguish it from alternative explanations.
Keyword: Labor supply, Preference formation, Female labor force participation, Endogenous information diffusion, and S-shaped learning Subject (JEL): Z13 - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification, N32 - Economic History: Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy: U.S.; Canada: 1913-, R12 - Size and Spatial Distributions of Regional Economic Activity, and J21 - Labor Force and Employment, Size, and Structure
Creator: Fogli, Alessandra and Veldkamp, Laura Series: Staff report (Federal Reserve Bank of Minneapolis. Research Department) Number: 572 Abstract:
Does the pattern of social connections between individuals matter for macroeconomic outcomes? If so, where do these differences come from and how large are their effects? Using network analysis tools, we explore how different social network structures affect technology diffusion and thereby a country's rate of growth. The correlation between high-diffusion networks and income is strongly positive. But when we use a model to isolate the effect of a change in social networks, the effect can be positive, negative, or zero. The reason is that networks diffuse ideas and disease. Low-diffusion networks have evolved in countries where disease is prevalent because limited connectivity protects residents from epidemics. But a low-diffusion network in a low-disease environment needlessly compromises the diffusion of good ideas. In general, social networks have evolved to fit their economic and epidemiological environment. Trying to change networks in one country to mimic those in a higher-income country may well be counterproductive.
Keyword: Pathogens, Disease , Development, Technology diffusion, Growth, Social networks, and Economic networks Subject (JEL): O33 - Technological Change: Choices and Consequences; Diffusion Processes, E02 - Institutions and the Macroeconomy, I10 - Health: General, and O10 - Economic Development: General