Gender, Generations, and Nonfarm Participation

Gender, Generations, and Nonfarm Participation

The authors present an empirical analysis of intergenerational links in nonfarm participation with a focus on gender effects. Using survey data from Nepal, the evidence shows that the mother exerts a strong influence on a daughter's employment...

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Bibliographic Details
Main Authors:	Emran, M. Shahe, Otsuka, Misuzu, Shilpi, Forhad
Format:	Policy Research Working Paper
Language:	English en_US
Published:	World Bank, Washington, DC 2014
Subjects:	GENDER ISSUES EMPLOYMENT NONFARM SECTOR SKILLED WORKERS OCCUPATIONAL MOBILITY MOTHERS' EDUCATION ESTIMATION THEORY WOMEN'S ADVANCEMENT WOMEN'S EMPLOYMENT WOMEN'S ROLE IN HOUSEHOLD OCCUPATIONAL SKILL LEVELS AGRICULTURE ASSETS BENEFIT ANALYSIS CAPACITY BUILDING CONCEPTUAL FRAMEWORK COSTS OF EDUCATION DEVELOPED COUNTRIES DISTANCE TO SCHOOL EDUCATION EDUCATION LEVEL EMPIRICAL ANALYSIS EMPIRICAL STUDIES ENDOGENOUS VARIABLES EXOGENOUS VARIABLES EXPECTED UTILITY EXTERNALITIES EXTERNALITY FATHERS FORMAL EDUCATION GIRLS HUMAN CAPITAL INCOME INCOME DISTRIBUTION INHERITANCE INVESTMENT IN EDUCATION LABOR FORCE LEARNING LET LEVEL OF EDUCATION LEVELS OF EDUCATION MAXIMUM LIKELIHOOD ESTIMATION MIGRATION MOBILITY MOTHERS MULTIPLIER EFFECT NETWORK EXTERNALITIES OPTIMIZATION PAPERS PARENTS PERMANENT INCOME POLICY RESEARCH PRODUCTIVITY REGRESSION ANALYSIS SCHOOLING URBAN AREAS UTILITY FUNCTION OCCUPATIONAL SKILL LEVELS AGRICULTURE
Online Access:	http://documents.worldbank.org/curated/en/2003/06/2438511/gender-generations-nonfarm-participation http://hdl.handle.net/10986/18166

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Summary:	The authors present an empirical analysis of intergenerational links in nonfarm participation with a focus on gender effects. Using survey data from Nepal, the evidence shows that the mother exerts a strong influence on a daughter's employment choice. Having a mother in a nonfarm sector raises a daughter's probability of nonfarm participation by 200 percent. The effects are truly dramatic for skilled nonfarm jobs. Having a mother in a skilled job raises a daughter's probability by 1,200 percent. Having a father in a nonfarm sector, on the other hand, does not have any significant effect on a son's probability of nonfarm participation when the endogeneity of education and assets is corrected for by the two-stage conditional maximum likelihood approach. But a moderate positive intergenerational correlation between fathers and sons exists for skilled jobs.