Risk and Household Grain Management in Developing Countries

By A. Park. 2006

115 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/774bd474bc656acd607a36650257c2af2711b7e9

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Citations in the corpus

Commodity Booms and Busts (2011, background): “In many less-developed countries, substantial amounts of grain are stored in homes and on small farms, making it difficult for markets to assess the quantity of inventory in storage (Park 2006).”
The empirical relevance of the competitive storage model (2011, methodology): “In addition, numerical storage models (for example, Park, 2006) can explain the key qualitative features of farmers’ economic behavior when they face high transaction costs, and the threat of hunger if local food crops fail and prices soar.”
Chronic and Transient Poverty: Measurement and Estimation, with Evidence from China (2010, unknown): “An alternative approach to correcting for the biases found in (25) and (29) is by estimating the biases that arise in numerical simulations of the longitudinal distributions of incomes.”
Incomplete Credit Markets and Commodity Marketing Behaviour (2011, background): “However, Saha and Stroud (1994), Barrett and Dorosh (1996) and Park (2006) have all explored the role of grain storage as a price hedge ex ante and find analytical and empirical support for storage patterns that also run contrary to the ‘sell low, buy high’ puzzle.”
Post-Harvest Loss in Sub-Saharan Africa -- What Do Farmers Say? (2014, unknown): “24 For a comprehensive grain storage management model in the economic literature and the role of climate in PHL, see Fuglie (1995), Park (2006) and Stathers, Lamboll and Mvumi (2013) respectively.”