(Forthcoming in The Review of Economics and Statistics) Precautionary Behavior, Migrant Networks and Household Consumption Decisions: An Empirical Analysis Using Household Panel Data from Rural China*
By J. Giles, Kyeong-won Yoo. 2006
159 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/ab348aa04cd80838d5860508be60e848bf1c7c47
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Kevin Jones
- Dewen Wang
- J. Giles
- Changbao Zhao
- M. Emran
- Jean-Yves Duclos
- Zhaoyang Hou
- Abdelkrim Araar
Citations in the corpus
- Access to Markets and Rural Poverty: Evidence from Household Consumption in China (2013, background): “Giles and Yoo (2007) show that precautionary savings are lower for both poor and nonpoor households in the villages with larger migrant network. and agroclimatic features of a county: the mean and variance of elevation and of slope, average annual rainfall, and average temperature, among others.”
- People's Republic of China (2011, result): “The Guangxi Integrated Agricultural Development Project (GIADP) is an example of a development effort aimed at increasing rural household income in China through three project components: community infrastructure development, agricultural production and marketing support, and rural environmental imp”
- Chronic and Transient Poverty: Measurement and Estimation, with Evidence from China (2010, background): “Giles and Yoo (2005) show that precautionary motives lead to lower consumption of households exposed to agro-climatic sources of risk, and Park (2005) finds that households in China’s poor areas store inefficiently high levels of grain in response to expected price variability.”
- Can China’s Rural Elderly Count on Support from Adult Children? Implications of Rural-to-Urban Migration (2010, background): “Studies of the impact of migration on migrant households suggest that migration is associated with higher income and consumption (de Brauw and Giles 2008; Du et al. 2005), facilitates risk-coping and risk-management (Giles, 2006; Giles and Yoo 2007 ), and is associated with higher levels of local i”