| Field | Before | After |
|---|---|---|
| Field Study Withdrawn | Before | After No |
| Field Intervention Completion Date | Before | After March 31, 2020 |
| Field Data Collection Complete | Before | After Yes |
| Field Final Sample Size: Number of Clusters (Unit of Randomization) | Before | After Paraguay: 165 villages Uganda: 200 villages |
| Field Was attrition correlated with treatment status? | Before | After No |
| Field Final Sample Size: Total Number of Observations | Before | After Paraguay: 1576 households Uganda: 2564 households |
| Field Final Sample Size (or Number of Clusters) by Treatment Arms | Before | After Paraguay: T1 (applicant only): 108 clusters, 1063 observations. T2 (joint interview): 57 clusters, 513 observations. Uganda: T1 (applicant only): 100 clusters, 1283 observations. T2 (joint interview): 50 clusters, 649 observations, T3 (separate interview): 50 clusters, 632 observations |
| Field Data Collection Completion Date | Before | After March 31, 2020 |
| Field | Before | After |
|---|---|---|
| Field Paper Abstract | Before | After The common practice in household questionnaires of surveying the most knowledgeable household member can lead to inaccurate data if they have limited information. Using survey experiments in Paraguay and Uganda, we investigate whether there are discrepancies in intra-household reporting on income and consumption when multiple household members are interviewed. We use data from 4,100 households where we randomly vary whether the survey is administered to one spouse only, both spouses together or both spouses separately. We do not find meaningful systematic differences in the mean or distribution of household income and consumption and conclude that the magnitude of respondent effects for these variables is unlikely to bias most empirical analyses. However, a within-household analysis reveals large, but mostly unsystematic, reporting discrepancies. Taken together, the results indicate that respondent selection may matter for obtaining accurate information for a given household, but not for aggregate analysis of households. |
| Field Paper Citation | Before | After Fiala, Nathan and Masselus, Lise, (2022), Whom to ask? Testing respondent effects in household surveys, No 935, Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen. |
| Field Paper URL | Before | After https://www.rwi-essen.de/publikationen/wissenschaftlich/ruhr-economic-papers/detail/whom-to-ask-testing-respondent-effects-in-5169 |