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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World Bank, Washington, DC
2016
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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 |
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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 |
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Digital Repository |
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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 |