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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Main Authors: de Nicola, Francesca, Gine, Xavier
Format: Policy Research Working Paper
Language:English
en_US
Published: World Bank, Washington, DC 2014
Subjects:
Online Access:http://documents.worldbank.org/curated/en/2012/03/15965088/accurate-recall-data-evidence-coastal-india
http://hdl.handle.net/10986/19872
id okr-10986-19872
recordtype oai_dc
spelling 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