Strength in Numbers: Networks as a Solution to Occupational Traps
By Kaivan Munshi. 2011
149 citations recorded by the source corpus.
Subfields: Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/bb4c78fd9b3e2c512af09e469758dc6280b5405e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- Christopher B. Barrett
- A. de Janvry
- Mark R. Rosenzweig
- Teevrat Garg
- E. Sadoulet
- Robert T. Jensen
- L. McBride
- Jing Cai
Citations in the corpus
- Breaking the Caste Barrier: Intergenerational Mobility in India (2013, background): “Instead, the ed2 In related work Munshi and Rosenzweig (2009) document the lack of labor mobility in India.”
- Do Labor Market Opportunities Affect Young Women's Work and Family Decisions? Experimental Evidence from India (2012, background): “Or they may have believedthat the recruiters were not essential togetting a BPO job, or that women who got BPO jobs during the intervention period would become a network of contacts, making it easier for their daughters toget these jobs (e.g., Munshi 2011).”
- Networks and Mis-allocation: Insurance, Migration, and the Rural-Urban Wage Gap (2015, background): “Hnatkovskay and Lahiri conclude that almost all of the change in the gap is due to the changing criteria for urbanization.”
- Social Networks and the Decision to Insure (2015, background): “In order to maintain food security and shield farmers from negative weather shocks, in 2009 the Chinese government requested the People’s Insurance Company of China (PICC) to design and offer the first rice production insurance policy to rural households in 31 pilot counties.”
- Well-Being Dynamics and Poverty Traps (2016, background): “Munshi (2011) presents evidence that new social networks can assist a person in escaping an occupational trap in India, a highly (vertically) segregated society.”
- Castes and Labor Mobility (2012, unknown): “A strengthening of community based networks of SC/STs along the lines suggested in Munshi (2010) may have also been at play in accelerating this process.”