How Accurate are Recall Data? Evidence from Coastal India

40 Pages Posted: 20 Apr 2016

See all articles by Francesca de Nicola

Francesca de Nicola

World Bank

Xavier Giné

World Bank - Development Research Group (DECRG)

Date Written: March 1, 2012

Abstract

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.

Keywords: Access to Finance, Statistical & Mathematical Sciences, Educational Sciences, Fiscal & Monetary Policy, Economic Theory & Research

Suggested Citation

de Nicola, Francesca and Gine, Xavier, How Accurate are Recall Data? Evidence from Coastal India (March 1, 2012). World Bank Policy Research Working Paper No. 6009. Available at SSRN: https://ssrn.com/abstract=2027805

Francesca De Nicola

World Bank ( email )

1818 H Street, NW
Washington, DC 20433
United States

Xavier Gine

World Bank - Development Research Group (DECRG) ( email )

1818 H. Street, N.W.
MSN3-311
Washington, DC 20433
United States

HOME PAGE: https://sites.google.com/site/decrgxaviergine/

Register to save articles to
your library

Register

Paper statistics

Downloads
30
Abstract Views
499
PlumX Metrics