The Engel function and complete food demand system for Chinese urban households

1994 ◽  
Vol 5 (1) ◽  
pp. 35-57 ◽  
Author(s):  
Wen S Chern ◽  
Guijing Wang
2016 ◽  
Vol 31 (1) ◽  
pp. 163
Author(s):  
Agus Widarjono ◽  
Sarastri Mumpuni Rucbha

A two-stage budgeting approach was applied to analyze the food demand in urban areas separated by geographical areas and classified by income groups. The demographically augmented Quadratic Almost Ideal Demand System (QUAIDS) was employed to estimate the demand elasticity. Data from the National Social and Economic Survey of Households (SUSENAS) in 2011 were used. The demand system is a censored model because the data contains zero expenditures and is estimated by employing the consistent two-step estimation procedure to solve biased estimation. The results show that price and income elasticities become less elastic from poor households to rich households. Demand by urban households in Java is more responsive to price but less responsive to income than urban households outside of Java. Simulation policies indicate that an increase in food prices would have more adverse impacts than a decrease in income levels. Poor families would suffer more than rich families from rising food prices and/or decreasing incomes. More importantly, urban households on Java are more vulnerable to an economic crisis, and would respond by reducing their food consumption. Economic policies to stabilize food prices are better than income policies, such as the cash transfer, to maintain the well-being of the population in Indonesia Keywords: Urban, Two-Stage Budgeting, QUAIDS, Price and Income elasticity 


2021 ◽  
Vol 17 (01) ◽  
Author(s):  
Falak Sher

The objective of this study is to analyze household demand system for Pakistan by estimating various elasticities of demand. This study combines nine different rounds of Household Integrated Economic Survey data to estimate Almost Ideal Demand System (AIDS). Household level data are supplemented with rich price information available for all the twelve months of the nine years. This approach yields efficient estimates of income and price elasticities, which are non-linear combinations of the parameters of AIDS. Standard errors for all the elasticity estimates are computed on the basis of Monte-Carlo simulations. The results show that household demand responses to income changes are similar between rural and urban households, while the response to price changes differ considerably. On average, rural households are found to be more responsive to price changes than the urban households. The study recommends that on equity grounds transport and communication and miscellaneous non-food goods and housing can be taxed more heavily as compared to other goods.


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