Surveys frequently rely on annual recall to capture individuals’ labor activities over the preceding year. In a panel of rural households in Malawi, we use a survey experiment to test the effect of a long, annual recall window on reported labor supply relative to a set of quarterly interviews. We document large losses in reported labor participation using the long recall window with reductions of over 20% of reported activities and months worked and a 2.5 times greater incidence of reported unemployment relative to the shorter window. These losses are greater for activities further in the past and especially for individuals whose labor supply is reported by other family members, reaching up to 50% for some outcomes. The profile of households’ primary respondents, predominantly male and older, and differential effects by age, further suggest that long recall may cause meaningful biases in resulting data for women and younger household members.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced in one computer with the following specifications:
• OS: Windows 10 Enterprise, version 21H2
• Processor: 11th Gen Intel(R) Core(TM) i5-1145G7 @ 2.60GHz 1.50 GHz
• Memory available: 15.7 GB
• Software version: Stata 17.0
A README file with detailed instructions is part of the reproducibility package.
All data is public and contained in the reproducibility package. This dataset explores (1) labor supply and (2) perceptions and impacts of COVID-19 via 4 quarterly phone surveys in rural Malawi. The sample was chosen randomly from those who reported cell phone numbers in a previous multi-topic, in-person survey in several regions of rural Malawi. The original data and its documentation are available here: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/NQYOIX
Author | Affiliation | |
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Kate Ambler | International Food Policy Research Institute | k.ambler@cgiar.org |
Sylvan Herskowitz | World Bank | sherskowitz@worldbank.org |
Mywish K. Maredia | Michigan State University | maredia@msu.edu |
2023-12
Location | Code |
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Malawi | MWI |
ID | Topic | Parent topic ID |
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O1 | Economic Development | O |
J2 | Demand and Supply of Labor | J |
C8 | Data Collection and Data Estimation Methodology • Computer Programs | C |
Q1 | Agriculture | Q |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Sylvan Herskowitz | World Bank | sherskowitz@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reyes Retana | MRR | World Bank | Junior Data Scientist |
2023-12-18
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