Decomposing Response Errors in Food Consumption Measurement : Implications for Survey Design from a Survey Experiment in Tanzania

There is wide variation in how consumption is measured in household surveys both across countries and over time. This variation may confound welfare comparisons in part because these alternative survey designs produce consumption estimates that are...

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Main Authors: Friedman, Jed, Beegle, Kathleen, De Weerdt, Joachim, Gibson, John
Format: Working Paper
Language:English
en_US
Published: World Bank, Washington, DC 2016
Subjects:
Online Access:http://documents.worldbank.org/curated/en/2016/04/26247062/decomposing-response-errors-food-consumption-measurement-implications-survey-design-survey-experiment-tanzania
http://hdl.handle.net/10986/24220
id okr-10986-24220
recordtype oai_dc
spelling okr-10986-242202021-04-23T14:04:20Z Decomposing Response Errors in Food Consumption Measurement : Implications for Survey Design from a Survey Experiment in Tanzania Friedman, Jed Beegle, Kathleen De Weerdt, Joachim Gibson, John LIVING STANDARDS PER CAPITA CONSUMPTION HOUSEHOLD SIZE HOUSEHOLD SURVEY DURABLE GOODS UNDERVALUATION VALUATION FOOD CONSUMPTION INCOME PERISHABLE FOOD AGRICULTURAL DEVELOPMENT CONSUMPTION DATA WORLD FOOD PROGRAMME CASSAVA ASSET WEALTH FOOD POLICY WELFARE DAIRY AGRICULTURAL ECONOMICS HOUSEHOLD BUDGET SURVEY PAYMENTS WEALTH BASIC FOODSTUFFS FOOD CONSUMPTION EXPENDITURE CALORIC INTAKE ECONOMIC ANALYSIS REGION WELFARE COMPARISONS DEVELOPMENT MAIZE INFLUENCE CEREALS DEVELOPMENT ECONOMICS TELECOMMUNICATIONS DATES HOUSEHOLD HEAD TOTAL CONSUMPTION HOUSEHOLD EXPENDITURE SURVEY PERISHABLE GOODS CRITERIA HOUSEHOLD INCOME PADDY FRUITS POVERTY STATUS VEGETABLES NUTS CONSUMPTION EXPENDITURE FOOD EXPENDITURES PERISHABILITY HOUSEHOLD MEMBERS HOUSEHOLD WEALTH CONSUMPTION GOOD ECONOMIC RESOURCES FUTURE VALUE ANIMAL FEED PERMANENT INCOME TUBERS FRUIT CONSUMPTION MEASURE FOOD GOODS BEVERAGES AGRICULTURE FOOD RECALL MALNUTRITION MEASUREMENT FOOD SCRAPS HOUSEHOLD CHARACTERISTICS NUTRITION WFP HOUSEHOLD BUDGET BENCHMARK FOOD PERSONAL CONSUMPTION PORK FOOD DEMAND FOOD LOSSES FOOD INSECURITY MEASURED CONSUMPTION DEMAND FOR FOOD GOODS REGIONS SUGARS HOUSEHOLDS POVERTY RURAL AREAS BANANAS MEAT HOUSEHOLD CONSUMPTION RICE HOUSEHOLD EXPENDITURES CONSUMPTION LEVELS FOODS FOOD CHARACTERISTICS FLOUR COMMODITY PULSES HOUSEHOLD EXPENDITURE DEVELOPMENT POLICY There is wide variation in how consumption is measured in household surveys both across countries and over time. This variation may confound welfare comparisons in part because these alternative survey designs produce consumption estimates that are differentially influenced by contrasting types of survey response error. Although previous studies have documented the extent of net error in alternative survey designs, little is known about the relative influence of the different response errors that underpin a survey estimate. This study leverages a recent randomized food consumption survey experiment in Tanzania to shed light on the relative influence of these various error types. The observed deviation of measured household consumption from a benchmark is decomposed into item-specific consumption incidence and consumption value so as to investigate effects related to (a) the omission of any consumption and then (b) the error in value reporting conditional on positive consumption. The results show that various survey designs exhibit widely differing error decompositions, and hence a simple summary comparison of the total recorded consumption across surveys will obscure specific error patterns and inhibit the lessons for improved consumption survey design. In light of these findings, the relative performance of common survey designs is discussed, and design lessons are drawn to enhance the accuracy of item-specific consumption reporting and, consequently, the measures of total household food consumption. 2016-05-04T19:27:20Z 2016-05-04T19:27:20Z 2016-04 Working Paper http://documents.worldbank.org/curated/en/2016/04/26247062/decomposing-response-errors-food-consumption-measurement-implications-survey-design-survey-experiment-tanzania http://hdl.handle.net/10986/24220 English en_US Policy Research working paper,no. WPS 7646; Policy Research Working Paper;No. 7646 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Africa Tanzania
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
en_US
topic LIVING STANDARDS
PER CAPITA CONSUMPTION
HOUSEHOLD SIZE
HOUSEHOLD SURVEY
DURABLE GOODS
UNDERVALUATION
VALUATION
FOOD CONSUMPTION
INCOME
PERISHABLE FOOD
AGRICULTURAL DEVELOPMENT
CONSUMPTION DATA
WORLD FOOD PROGRAMME
CASSAVA
ASSET WEALTH
FOOD POLICY
WELFARE
DAIRY
AGRICULTURAL ECONOMICS
HOUSEHOLD BUDGET SURVEY
PAYMENTS
WEALTH
BASIC FOODSTUFFS
FOOD CONSUMPTION EXPENDITURE
CALORIC INTAKE
ECONOMIC ANALYSIS
REGION
WELFARE COMPARISONS
DEVELOPMENT
MAIZE
INFLUENCE
CEREALS
DEVELOPMENT ECONOMICS
TELECOMMUNICATIONS
DATES
HOUSEHOLD HEAD
TOTAL CONSUMPTION
HOUSEHOLD EXPENDITURE SURVEY
PERISHABLE GOODS
CRITERIA
HOUSEHOLD INCOME
PADDY
FRUITS
POVERTY STATUS
VEGETABLES
NUTS
CONSUMPTION EXPENDITURE
FOOD EXPENDITURES
PERISHABILITY
HOUSEHOLD MEMBERS
HOUSEHOLD WEALTH
CONSUMPTION
GOOD
ECONOMIC RESOURCES
FUTURE
VALUE
ANIMAL FEED
PERMANENT INCOME
TUBERS
FRUIT
CONSUMPTION MEASURE
FOOD GOODS
BEVERAGES
AGRICULTURE
FOOD RECALL
MALNUTRITION
MEASUREMENT
FOOD SCRAPS
HOUSEHOLD CHARACTERISTICS
NUTRITION
WFP
HOUSEHOLD BUDGET
BENCHMARK
FOOD
PERSONAL CONSUMPTION
PORK
FOOD DEMAND
FOOD LOSSES
FOOD INSECURITY
MEASURED CONSUMPTION
DEMAND FOR FOOD
GOODS
REGIONS
SUGARS
HOUSEHOLDS
POVERTY
RURAL AREAS
BANANAS
MEAT
HOUSEHOLD CONSUMPTION
RICE
HOUSEHOLD EXPENDITURES
CONSUMPTION LEVELS
FOODS
FOOD CHARACTERISTICS
FLOUR
COMMODITY
PULSES
HOUSEHOLD EXPENDITURE
DEVELOPMENT POLICY
spellingShingle LIVING STANDARDS
PER CAPITA CONSUMPTION
HOUSEHOLD SIZE
HOUSEHOLD SURVEY
DURABLE GOODS
UNDERVALUATION
VALUATION
FOOD CONSUMPTION
INCOME
PERISHABLE FOOD
AGRICULTURAL DEVELOPMENT
CONSUMPTION DATA
WORLD FOOD PROGRAMME
CASSAVA
ASSET WEALTH
FOOD POLICY
WELFARE
DAIRY
AGRICULTURAL ECONOMICS
HOUSEHOLD BUDGET SURVEY
PAYMENTS
WEALTH
BASIC FOODSTUFFS
FOOD CONSUMPTION EXPENDITURE
CALORIC INTAKE
ECONOMIC ANALYSIS
REGION
WELFARE COMPARISONS
DEVELOPMENT
MAIZE
INFLUENCE
CEREALS
DEVELOPMENT ECONOMICS
TELECOMMUNICATIONS
DATES
HOUSEHOLD HEAD
TOTAL CONSUMPTION
HOUSEHOLD EXPENDITURE SURVEY
PERISHABLE GOODS
CRITERIA
HOUSEHOLD INCOME
PADDY
FRUITS
POVERTY STATUS
VEGETABLES
NUTS
CONSUMPTION EXPENDITURE
FOOD EXPENDITURES
PERISHABILITY
HOUSEHOLD MEMBERS
HOUSEHOLD WEALTH
CONSUMPTION
GOOD
ECONOMIC RESOURCES
FUTURE
VALUE
ANIMAL FEED
PERMANENT INCOME
TUBERS
FRUIT
CONSUMPTION MEASURE
FOOD GOODS
BEVERAGES
AGRICULTURE
FOOD RECALL
MALNUTRITION
MEASUREMENT
FOOD SCRAPS
HOUSEHOLD CHARACTERISTICS
NUTRITION
WFP
HOUSEHOLD BUDGET
BENCHMARK
FOOD
PERSONAL CONSUMPTION
PORK
FOOD DEMAND
FOOD LOSSES
FOOD INSECURITY
MEASURED CONSUMPTION
DEMAND FOR FOOD
GOODS
REGIONS
SUGARS
HOUSEHOLDS
POVERTY
RURAL AREAS
BANANAS
MEAT
HOUSEHOLD CONSUMPTION
RICE
HOUSEHOLD EXPENDITURES
CONSUMPTION LEVELS
FOODS
FOOD CHARACTERISTICS
FLOUR
COMMODITY
PULSES
HOUSEHOLD EXPENDITURE
DEVELOPMENT POLICY
Friedman, Jed
Beegle, Kathleen
De Weerdt, Joachim
Gibson, John
Decomposing Response Errors in Food Consumption Measurement : Implications for Survey Design from a Survey Experiment in Tanzania
geographic_facet Africa
Tanzania
relation Policy Research working paper,no. WPS 7646;
description There is wide variation in how consumption is measured in household surveys both across countries and over time. This variation may confound welfare comparisons in part because these alternative survey designs produce consumption estimates that are differentially influenced by contrasting types of survey response error. Although previous studies have documented the extent of net error in alternative survey designs, little is known about the relative influence of the different response errors that underpin a survey estimate. This study leverages a recent randomized food consumption survey experiment in Tanzania to shed light on the relative influence of these various error types. The observed deviation of measured household consumption from a benchmark is decomposed into item-specific consumption incidence and consumption value so as to investigate effects related to (a) the omission of any consumption and then (b) the error in value reporting conditional on positive consumption. The results show that various survey designs exhibit widely differing error decompositions, and hence a simple summary comparison of the total recorded consumption across surveys will obscure specific error patterns and inhibit the lessons for improved consumption survey design. In light of these findings, the relative performance of common survey designs is discussed, and design lessons are drawn to enhance the accuracy of item-specific consumption reporting and, consequently, the measures of total household food consumption.
format Working Paper
author Friedman, Jed
Beegle, Kathleen
De Weerdt, Joachim
Gibson, John
author_facet Friedman, Jed
Beegle, Kathleen
De Weerdt, Joachim
Gibson, John
author_sort Friedman, Jed
title Decomposing Response Errors in Food Consumption Measurement : Implications for Survey Design from a Survey Experiment in Tanzania
title_short Decomposing Response Errors in Food Consumption Measurement : Implications for Survey Design from a Survey Experiment in Tanzania
title_full Decomposing Response Errors in Food Consumption Measurement : Implications for Survey Design from a Survey Experiment in Tanzania
title_fullStr Decomposing Response Errors in Food Consumption Measurement : Implications for Survey Design from a Survey Experiment in Tanzania
title_full_unstemmed Decomposing Response Errors in Food Consumption Measurement : Implications for Survey Design from a Survey Experiment in Tanzania
title_sort decomposing response errors in food consumption measurement : implications for survey design from a survey experiment in tanzania
publisher World Bank, Washington, DC
publishDate 2016
url http://documents.worldbank.org/curated/en/2016/04/26247062/decomposing-response-errors-food-consumption-measurement-implications-survey-design-survey-experiment-tanzania
http://hdl.handle.net/10986/24220
_version_ 1764455963640725504