What Does Variation in Survey Design Reveal about the Nature of Measurement Errors in Household Consumption?
This paper uses data from eight different consumption questionnaires randomly assigned to 4,000 households in Tanzania to obtain evidence on the nature of measurement errors in estimates of household consumption. While there are no validation data,...
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World Bank, Washington, DC
2013
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Online Access: | http://documents.worldbank.org/curated/en/2013/02/17370970/variation-survey-design-reveal-nature-measurement-errors-household-consumption-variation-survey-design-reveal-nature-measurement-errors-household-consumption http://hdl.handle.net/10986/13153 |
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okr-10986-131532021-04-23T14:03:07Z What Does Variation in Survey Design Reveal about the Nature of Measurement Errors in Household Consumption? Gibson, John Beegle, Kathleen De Weerdt, Joachim Friedman, Jed AGRICULTURAL ECONOMICS BENCHMARK BIASES CANDLES CIGARETTES COMMODITY CONSUMPTION MEASURE DEMAND FOR FOOD DEPENDENT VARIABLE DEVELOPING COUNTRIES DEVELOPMENT ECONOMICS DEVELOPMENT POLICY EARNINGS LEVELS ECONOMETRICS ECONOMIC ACTIVITY ECONOMIC REVIEW ECONOMIC STUDIES ECONOMIES OF SCALE EMPIRICAL RESEARCH EMPIRICAL RESULTS ENGEL CURVE ENGEL CURVES EQUATIONS EXPENDITURE DATA EXPLANATORY VARIABLE FOOD ^ CONSUMPTION FOOD CONSUMPTION FOOD DEMAND FOOD RECALL FOODS HIGH CORRELATION HOUSEHOLD BUDGET HOUSEHOLD BUDGET SURVEYS HOUSEHOLD CHARACTERISTICS HOUSEHOLD CONSUMPTION HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLDS HYPOTHESES INCOME GROWTH INCOME INCREASE INEQUALITY INSTRUMENTAL VARIABLES LABOR ECONOMICS LABOR MARKET LIVING STANDARDS MEASURED CONSUMPTION MEASUREMENT ERROR MEASUREMENT ERRORS NEGATIVE CORRELATION NEGATIVE EFFECT OBSERVED VALUE PER CAPITA CONSUMPTION PERMANENT INCOME POLICY DISCUSSIONS POLICY RESEARCH POLITICAL ECONOMY POOR COUNTRIES POVERTY REDUCTION PUBLIC GOODS RANDOM ERRORS RELIABILITY SIGNIFICANT DIFFERENCES SIGNIFICANT IMPACT SIGNIFICANT NEGATIVE STANDARD ERRORS STATISTICAL SIGNIFICANCE SUBSTITUTION EFFECT TOTAL CONSUMPTION TOTAL EXPENDITURE This paper uses data from eight different consumption questionnaires randomly assigned to 4,000 households in Tanzania to obtain evidence on the nature of measurement errors in estimates of household consumption. While there are no validation data, the design of one questionnaire and the resources put into its implementation make it likely to be substantially more accurate than the others. Comparing regressions using data from this benchmark design with results from the other questionnaires shows that errors have a negative correlation with the true value of consumption, creating a non-classical measurement error problem for which conventional statistical corrections may be ineffective. 2013-04-11T17:15:01Z 2013-04-11T17:15:01Z 2013-02 http://documents.worldbank.org/curated/en/2013/02/17370970/variation-survey-design-reveal-nature-measurement-errors-household-consumption-variation-survey-design-reveal-nature-measurement-errors-household-consumption http://hdl.handle.net/10986/13153 English en_US Policy Research Working Paper;No. 6372 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research 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 |
AGRICULTURAL ECONOMICS BENCHMARK BIASES CANDLES CIGARETTES COMMODITY CONSUMPTION MEASURE DEMAND FOR FOOD DEPENDENT VARIABLE DEVELOPING COUNTRIES DEVELOPMENT ECONOMICS DEVELOPMENT POLICY EARNINGS LEVELS ECONOMETRICS ECONOMIC ACTIVITY ECONOMIC REVIEW ECONOMIC STUDIES ECONOMIES OF SCALE EMPIRICAL RESEARCH EMPIRICAL RESULTS ENGEL CURVE ENGEL CURVES EQUATIONS EXPENDITURE DATA EXPLANATORY VARIABLE FOOD ^ CONSUMPTION FOOD CONSUMPTION FOOD DEMAND FOOD RECALL FOODS HIGH CORRELATION HOUSEHOLD BUDGET HOUSEHOLD BUDGET SURVEYS HOUSEHOLD CHARACTERISTICS HOUSEHOLD CONSUMPTION HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLDS HYPOTHESES INCOME GROWTH INCOME INCREASE INEQUALITY INSTRUMENTAL VARIABLES LABOR ECONOMICS LABOR MARKET LIVING STANDARDS MEASURED CONSUMPTION MEASUREMENT ERROR MEASUREMENT ERRORS NEGATIVE CORRELATION NEGATIVE EFFECT OBSERVED VALUE PER CAPITA CONSUMPTION PERMANENT INCOME POLICY DISCUSSIONS POLICY RESEARCH POLITICAL ECONOMY POOR COUNTRIES POVERTY REDUCTION PUBLIC GOODS RANDOM ERRORS RELIABILITY SIGNIFICANT DIFFERENCES SIGNIFICANT IMPACT SIGNIFICANT NEGATIVE STANDARD ERRORS STATISTICAL SIGNIFICANCE SUBSTITUTION EFFECT TOTAL CONSUMPTION TOTAL EXPENDITURE |
spellingShingle |
AGRICULTURAL ECONOMICS BENCHMARK BIASES CANDLES CIGARETTES COMMODITY CONSUMPTION MEASURE DEMAND FOR FOOD DEPENDENT VARIABLE DEVELOPING COUNTRIES DEVELOPMENT ECONOMICS DEVELOPMENT POLICY EARNINGS LEVELS ECONOMETRICS ECONOMIC ACTIVITY ECONOMIC REVIEW ECONOMIC STUDIES ECONOMIES OF SCALE EMPIRICAL RESEARCH EMPIRICAL RESULTS ENGEL CURVE ENGEL CURVES EQUATIONS EXPENDITURE DATA EXPLANATORY VARIABLE FOOD ^ CONSUMPTION FOOD CONSUMPTION FOOD DEMAND FOOD RECALL FOODS HIGH CORRELATION HOUSEHOLD BUDGET HOUSEHOLD BUDGET SURVEYS HOUSEHOLD CHARACTERISTICS HOUSEHOLD CONSUMPTION HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLDS HYPOTHESES INCOME GROWTH INCOME INCREASE INEQUALITY INSTRUMENTAL VARIABLES LABOR ECONOMICS LABOR MARKET LIVING STANDARDS MEASURED CONSUMPTION MEASUREMENT ERROR MEASUREMENT ERRORS NEGATIVE CORRELATION NEGATIVE EFFECT OBSERVED VALUE PER CAPITA CONSUMPTION PERMANENT INCOME POLICY DISCUSSIONS POLICY RESEARCH POLITICAL ECONOMY POOR COUNTRIES POVERTY REDUCTION PUBLIC GOODS RANDOM ERRORS RELIABILITY SIGNIFICANT DIFFERENCES SIGNIFICANT IMPACT SIGNIFICANT NEGATIVE STANDARD ERRORS STATISTICAL SIGNIFICANCE SUBSTITUTION EFFECT TOTAL CONSUMPTION TOTAL EXPENDITURE Gibson, John Beegle, Kathleen De Weerdt, Joachim Friedman, Jed What Does Variation in Survey Design Reveal about the Nature of Measurement Errors in Household Consumption? |
geographic_facet |
Africa Tanzania |
relation |
Policy Research Working Paper;No. 6372 |
description |
This paper uses data from eight
different consumption questionnaires randomly assigned to
4,000 households in Tanzania to obtain evidence on the
nature of measurement errors in estimates of household
consumption. While there are no validation data, the design
of one questionnaire and the resources put into its
implementation make it likely to be substantially more
accurate than the others. Comparing regressions using data
from this benchmark design with results from the other
questionnaires shows that errors have a negative correlation
with the true value of consumption, creating a non-classical
measurement error problem for which conventional statistical
corrections may be ineffective. |
format |
Publications & Research :: Policy Research Working Paper |
author |
Gibson, John Beegle, Kathleen De Weerdt, Joachim Friedman, Jed |
author_facet |
Gibson, John Beegle, Kathleen De Weerdt, Joachim Friedman, Jed |
author_sort |
Gibson, John |
title |
What Does Variation in Survey Design Reveal about the Nature of Measurement Errors in Household Consumption? |
title_short |
What Does Variation in Survey Design Reveal about the Nature of Measurement Errors in Household Consumption? |
title_full |
What Does Variation in Survey Design Reveal about the Nature of Measurement Errors in Household Consumption? |
title_fullStr |
What Does Variation in Survey Design Reveal about the Nature of Measurement Errors in Household Consumption? |
title_full_unstemmed |
What Does Variation in Survey Design Reveal about the Nature of Measurement Errors in Household Consumption? |
title_sort |
what does variation in survey design reveal about the nature of measurement errors in household consumption? |
publisher |
World Bank, Washington, DC |
publishDate |
2013 |
url |
http://documents.worldbank.org/curated/en/2013/02/17370970/variation-survey-design-reveal-nature-measurement-errors-household-consumption-variation-survey-design-reveal-nature-measurement-errors-household-consumption http://hdl.handle.net/10986/13153 |
_version_ |
1764422813813309440 |