Price elasticities from survey data: Extensions and Indonesian results
References (16)
Estimation of own- and cross-price elasticities from survey data
Journal of Econometrics
(1987)A method of moments interpretation of sequential estimators
Economics Letters
(1984)Determinants of food consumption in rural Sierra Leone
Journal of Development Economics
(1982)Analyzing spatial patterns in developing country data
Quality, quantity, and spatial variation of price
(1986)Quality, quantity, and spatial variation of price
American Economic Review
(1988)- et al.
An almost ideal demand system
American Economic Review
(1980) Measurement error models
(1987)
Cited by (134)
The dynamics of strategically important food preference in Indonesia: An empirical evaluation of consumption pattern and welfare loss
2023, Economic Analysis and PolicyDistributional welfare and emission effects of energy tax policies in Brazil
2021, Energy EconomicsProjecting food demand in 2030: Can Uganda attain the zero hunger goal?
2021, Sustainable Production and ConsumptionCitation Excerpt :It is important to mention here that the imputed sampled food prices are calculated as expenditures on a specific food divided by the quantity consumed, typically reported in kilograms. The problem is that the use of imputed prices in estimating income and price elasticities can lead to bias estimates due to the presence of selection bias and measurement errors and the problem of missing values (Deaton, 1990; Gibson and Kim, 2013; McKelvey, 2011). In the sample data, consumption of vegetables was nearly universal in Uganda, but a significant share of the sampled households reported zero expenditure on five of the sampled food items (from nearly a third not consuming maize/coarse grains or meat and fish to 62% not consuming wheat and rice).
Energy taxation, subsidy removal and poverty in Mexico
2021, Environment and Development EconomicsA Comparison of Demand System Models Peculiar to a Granular Array of Dairy Products
2023, Journal of Food Distribution Research
- ∗
The author would like to thank Dwayne Benjamin who provided outstanding research assistance, and two referees and an associate editor for comments on a previous version. The research reported here was carried out for the Welfare and Human Resources Division of the World Bank. The World Bank does not accept responsibility for the views expressed herein, which are those of the author and should not be attributed to the World Bank or to its affiliated organizations.