Please use this identifier to cite or link to this item:
D'Souza, Anna
Jolliffe, Dean
Year of Publication: 
Series/Report no.: 
Discussion Paper series, Forschungsinstitut zur Zukunft der Arbeit 6481
We investigate the impact of increases in wheat flour prices on household food security using unique nationally-representative data collected in Afghanistan from 2007 to 2008. We use a new estimator, the Unconditional Quantile Regression (UQR) estimator, based on influence functions to examine the marginal effects of price increases at different locations on the distributions of several food security measures. UQR estimates reveal that the negative marginal effect of a price increase on food consumption is two and a half times larger for households that can afford to cut the value of food consumption (75th quantile) than for households at the bottom (25th quantile) of the food-consumption distribution. Similarly, households with diets high in calories reduce intake substantially, but those at the bottom of the calorie distribution (25th quantile) make very small changes in intake as a result of the price increases. In contrast, households at the bottom of the dietary diversity distribution make the largest adjustments in the quality of their diets, since such households often live at subsistence levels and cannot make large cuts in caloric intake without suffering serious health consequences. These results provide empirical evidence that when faced with staple-food price increases, food-insecure households sacrifice quality (diversity) in order to protect calories. The large differences in behavioral responses of households that lie at the top and bottom of these distributions suggest that policy analyses relying solely on OLS estimates may be misleading.
food prices
food security
quantile regression
influence functions
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

Files in This Item:

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.