Tajikistan: Longitudinal analysis using panel data for assessing seasonality effects on the food security situation in Tajikistan 2005 HBS
RAMASAWMY, Seevalingum
FAO Statistics Division,
Rome. Italy
Household income and expenditure survey (HIES) usually collects food data from households at only one period which may refer to one week, two weeks or one month. Most HIES extend the field work over the entire period of one year to account for any seasonal effects of household expenditure particularly food consumption. The survey estimates assume seasonal effects cancelled out in large groups of households but not at the level of the individual household. Thus, the inter-household variation estimated on the basis of such data would tend to include the seasonal effects. However, the Tajikistan Household Budget Survey (HBS) presents a particular characteristic that it collects expenditure and income data from the same household over a long period of time. The longitudinal design survey accounts for all variations including the seasonal effects when analysed over the months of the yearly period. This paper presents some trend analysis of food security statistics derived from the 2005 Tajikistan household panel monthly food consumption data collected from the sample of 925 households and evaluate the impact of the variability of the distribution of the food consumption in the food security statistics estimates.
Keywords: Food consumption data, Food security statistics, Panel data, Dietary energy consumption, Food Deprivation, Critical food poverty, Coefficient of variation.
Acknowledgements: FAO (Statistics Division and Food Security Information for Action Programme) for technical assistance and the European Community for financial support.
1. BACKGROUND
Tajikistan is a landlocked country, largely mountainous and sparsely
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