How Accurate Are Recall Data? Evidence from Coastal India
This paper investigates the accuracy of recall data by comparing administrative records with retrospective, self-reported survey responses to income and asset questions for a sample of self-employed households from coastal India. It finds that the...
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Online Access: | http://documents.worldbank.org/curated/en/2012/03/15965088/accurate-recall-data-evidence-coastal-india http://hdl.handle.net/10986/19872 |
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okr-10986-198722021-04-23T14:03:52Z How Accurate Are Recall Data? Evidence from Coastal India de Nicola, Francesca Gine, Xavier ABSOLUTE ERRORS ADMINISTRATIVE RECORDS ATTENTION BENCHMARK BOOTSTRAP BOUNDED RATIONALITY BUSINESS OWNERS COGNITION COGNITIVE PSYCHOLOGY COGNITIVE SCIENCE CONSUMER FINANCE CONSUMER FINANCES DEBTS DEPOSITS DESCRIPTIVE STATISTICS DEVELOPMENT ECONOMICS DEVELOPMENT POLICY DIMINISHING MARGINAL UTILITY DOWRY DURABLE GOODS EARNINGS EARNINGS DISTRIBUTION ECONOMETRICS ECONOMIC CHARACTERISTICS ECONOMIC STATISTICS EDUCATED WOMEN EMPLOYER ENVIRONMENTAL FACTORS EQUATIONS EXPENDITURES FARMERS FINANCIAL ASSETS GENDER GENDER DIFFERENCE GENDER DIFFERENCES HOUSEHOLD INCOME HOUSEHOLDS HUSBAND HUSBANDS INCOME DISTRIBUTION INCOME DYNAMICS INCOME FLUCTUATIONS INCOME MEASURES INDIAN RUPEES INEQUALITY INFERENCE INTERNATIONAL BANK KURTOSIS LABOR MARKET LEAST SQUARES REGRESSION LINEAR REGRESSION LOAN MEMORY MERCHANTS MICRO ENTREPRENEURS MISREPORTING MISSING OBSERVATIONS MONETARY VALUE MONEYLENDERS MORBIDITY OUTLIERS PER CAPITA INCOME PERSONALITY POOLING PRECISION PREDICTION PROBABILITY PSYCHOLOGY RECALL RELIABILITY SAVINGS SELF-EMPLOYMENT SKEWNESS SOCIAL SECURITY SOURCE OF INCOME SOURCE OF INFORMATION SOURCES OF INCOME STANDARD DEVIATION STANDARD ERRORS STATISTICAL ANALYSIS UNEMPLOYMENT VALIDITY VARIABILITY VILLAGE VILLAGES VOLATILITY WAGES WEALTH This paper investigates the accuracy of recall data by comparing administrative records with retrospective, self-reported survey responses to income and asset questions for a sample of self-employed households from coastal India. It finds that the magnitude of the recall error increases over time, in part because respondents rely less on memory and instead infer earnings based on past earnings. Individuals tend to recall monthly earnings more accurately when they are higher than the median. These results imply that the variance estimated from the self-reported earnings distribution will be lower than the real one. The paper also finds that data reported by income earners are more accurate than those by their wives. In addition, the use of time cues can worsen accuracy if they are not relevant to the respondent. Where the recall questions are placed in the two-hour long survey, however, does not affect accuracy. 2014-08-29T18:34:53Z 2014-08-29T18:34:53Z 2012-03 http://documents.worldbank.org/curated/en/2012/03/15965088/accurate-recall-data-evidence-coastal-india http://hdl.handle.net/10986/19872 English en_US Policy Research Working Paper;No. 6009 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research South Asia India |
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 |
ABSOLUTE ERRORS ADMINISTRATIVE RECORDS ATTENTION BENCHMARK BOOTSTRAP BOUNDED RATIONALITY BUSINESS OWNERS COGNITION COGNITIVE PSYCHOLOGY COGNITIVE SCIENCE CONSUMER FINANCE CONSUMER FINANCES DEBTS DEPOSITS DESCRIPTIVE STATISTICS DEVELOPMENT ECONOMICS DEVELOPMENT POLICY DIMINISHING MARGINAL UTILITY DOWRY DURABLE GOODS EARNINGS EARNINGS DISTRIBUTION ECONOMETRICS ECONOMIC CHARACTERISTICS ECONOMIC STATISTICS EDUCATED WOMEN EMPLOYER ENVIRONMENTAL FACTORS EQUATIONS EXPENDITURES FARMERS FINANCIAL ASSETS GENDER GENDER DIFFERENCE GENDER DIFFERENCES HOUSEHOLD INCOME HOUSEHOLDS HUSBAND HUSBANDS INCOME DISTRIBUTION INCOME DYNAMICS INCOME FLUCTUATIONS INCOME MEASURES INDIAN RUPEES INEQUALITY INFERENCE INTERNATIONAL BANK KURTOSIS LABOR MARKET LEAST SQUARES REGRESSION LINEAR REGRESSION LOAN MEMORY MERCHANTS MICRO ENTREPRENEURS MISREPORTING MISSING OBSERVATIONS MONETARY VALUE MONEYLENDERS MORBIDITY OUTLIERS PER CAPITA INCOME PERSONALITY POOLING PRECISION PREDICTION PROBABILITY PSYCHOLOGY RECALL RELIABILITY SAVINGS SELF-EMPLOYMENT SKEWNESS SOCIAL SECURITY SOURCE OF INCOME SOURCE OF INFORMATION SOURCES OF INCOME STANDARD DEVIATION STANDARD ERRORS STATISTICAL ANALYSIS UNEMPLOYMENT VALIDITY VARIABILITY VILLAGE VILLAGES VOLATILITY WAGES WEALTH |
spellingShingle |
ABSOLUTE ERRORS ADMINISTRATIVE RECORDS ATTENTION BENCHMARK BOOTSTRAP BOUNDED RATIONALITY BUSINESS OWNERS COGNITION COGNITIVE PSYCHOLOGY COGNITIVE SCIENCE CONSUMER FINANCE CONSUMER FINANCES DEBTS DEPOSITS DESCRIPTIVE STATISTICS DEVELOPMENT ECONOMICS DEVELOPMENT POLICY DIMINISHING MARGINAL UTILITY DOWRY DURABLE GOODS EARNINGS EARNINGS DISTRIBUTION ECONOMETRICS ECONOMIC CHARACTERISTICS ECONOMIC STATISTICS EDUCATED WOMEN EMPLOYER ENVIRONMENTAL FACTORS EQUATIONS EXPENDITURES FARMERS FINANCIAL ASSETS GENDER GENDER DIFFERENCE GENDER DIFFERENCES HOUSEHOLD INCOME HOUSEHOLDS HUSBAND HUSBANDS INCOME DISTRIBUTION INCOME DYNAMICS INCOME FLUCTUATIONS INCOME MEASURES INDIAN RUPEES INEQUALITY INFERENCE INTERNATIONAL BANK KURTOSIS LABOR MARKET LEAST SQUARES REGRESSION LINEAR REGRESSION LOAN MEMORY MERCHANTS MICRO ENTREPRENEURS MISREPORTING MISSING OBSERVATIONS MONETARY VALUE MONEYLENDERS MORBIDITY OUTLIERS PER CAPITA INCOME PERSONALITY POOLING PRECISION PREDICTION PROBABILITY PSYCHOLOGY RECALL RELIABILITY SAVINGS SELF-EMPLOYMENT SKEWNESS SOCIAL SECURITY SOURCE OF INCOME SOURCE OF INFORMATION SOURCES OF INCOME STANDARD DEVIATION STANDARD ERRORS STATISTICAL ANALYSIS UNEMPLOYMENT VALIDITY VARIABILITY VILLAGE VILLAGES VOLATILITY WAGES WEALTH de Nicola, Francesca Gine, Xavier How Accurate Are Recall Data? Evidence from Coastal India |
geographic_facet |
South Asia India |
relation |
Policy Research Working Paper;No. 6009 |
description |
This paper investigates the accuracy of
recall data by comparing administrative records with
retrospective, self-reported survey responses to income and
asset questions for a sample of self-employed households
from coastal India. It finds that the magnitude of the
recall error increases over time, in part because
respondents rely less on memory and instead infer earnings
based on past earnings. Individuals tend to recall monthly
earnings more accurately when they are higher than the
median. These results imply that the variance estimated from
the self-reported earnings distribution will be lower than
the real one. The paper also finds that data reported by
income earners are more accurate than those by their wives.
In addition, the use of time cues can worsen accuracy if
they are not relevant to the respondent. Where the recall
questions are placed in the two-hour long survey, however,
does not affect accuracy. |
format |
Publications & Research :: Policy Research Working Paper |
author |
de Nicola, Francesca Gine, Xavier |
author_facet |
de Nicola, Francesca Gine, Xavier |
author_sort |
de Nicola, Francesca |
title |
How Accurate Are Recall Data? Evidence from Coastal India |
title_short |
How Accurate Are Recall Data? Evidence from Coastal India |
title_full |
How Accurate Are Recall Data? Evidence from Coastal India |
title_fullStr |
How Accurate Are Recall Data? Evidence from Coastal India |
title_full_unstemmed |
How Accurate Are Recall Data? Evidence from Coastal India |
title_sort |
how accurate are recall data? evidence from coastal india |
publisher |
World Bank, Washington, DC |
publishDate |
2014 |
url |
http://documents.worldbank.org/curated/en/2012/03/15965088/accurate-recall-data-evidence-coastal-india http://hdl.handle.net/10986/19872 |
_version_ |
1764443990596255744 |