| Reliability of recall in agricultural data K Beegle, C Carletto, K Himelein Journal of Development Economics 98 (1), 34-41, 2012 | 222 | 2012 |
| Frame-of-reference bias in subjective welfare K Beegle, K Himelein, M Ravallion Journal of Economic Behavior & Organization 81 (2), 556-570, 2012 | 78 | 2012 |
| Can subjective questions on economic welfare be trusted? M Ravallion, K Himelein, K Beegle Economic Development and Cultural Change 64 (4), 697-726, 2016 | 67 | 2016 |
| The economic impact of Ebola on sub-Saharan Africa: updated estimates for 2015 MR Thomas, G Smith, FHG Ferreira, D Evans, M Maliszewska, M Cruz, ... The World Bank, 2015 | 54 | 2015 |
| Sampling nomads: a new technique for remote, hard-to-reach, and mobile populations K Himelein, S Eckman, S Murray Journal of official statistics 30 (2), 191-213, 2014 | 47 | 2014 |
| Interviewer effects in subjective survey questions: evidence from Timor-Leste K Himelein International Journal of Public Opinion Research 28 (4), 511-533, 2016 | 44 | 2016 |
| The socio-economic impacts of Ebola in Liberia K Himelein, JG Kastelic World Bank, Washington, DC, 2015 | 39* | 2015 |
| Weight calculations for panel surveys with subsampling and split-off tracking K Himelein Statistics and Public Policy 1 (1), 40-45, 2014 | 39 | 2014 |
| Improving the availability, quality and policy-relevance of agricultural data: The living standards measurement study-integrated surveys on agriculture G Carletto, K Beegle, K Himelein, T Kilic, S Murray, M Oseni, K Scott, ... Third Wye City Group Global Conference on Agricultural and Rural Household …, 2010 | 38 | 2010 |
| Reliability of recall in agricultural data K Beegle, C Carletto, K Himelein, KH Kastelic World Bank Policy Research Working Paper, 2011 | 33 | 2011 |
| Monitoring the Ebola crisis using mobile phone surveys A Etang, K Himelein Data collection in fragile states: Innovations from Africa and beyond, 15-31, 2020 | 32 | 2020 |
| Frame-of-reference bias in subjective welfare regressions K Beegle, K Himelein, M Ravallion World Bank policy research working paper, 2009 | 21 | 2009 |
| Using gridded population and quadtree sampling units to support survey sample design in low-income settings SH Qader, V Lefebvre, AJ Tatem, U Pape, W Jochem, K Himelein, ... International Journal of Health Geographics 19, 1-16, 2020 | 19 | 2020 |
| Mobile phone surveys for understanding COVID-19 impacts: Part I sampling and mode K Himelein, S Eckman, C Lau, D McKenzie The World Bank, 2020 | 19 | 2020 |
| High frequency mobile phone surveys of households to assess the impacts of COVID-19: guidelines on sampling design K Himelein, S Eckman, J Kastelic, K McGee, M Wild, N Yoshida, ... Washington, DC: World Bank Group, 2020 | 17 | 2020 |
| The socio-economic impacts of Ebola in Sierra Leone K Himelein, M Testaverde, A Turay, S Turay World Bank Publications-Reports, 2015 | 17* | 2015 |
| Second-stage sampling for conflict areas: Methods and implications K Himelein, S Eckman, S Murray, J Bauer World Bank Policy Research Working Paper, 2016 | 16 | 2016 |
| A Map of the Poor or a Poor Map? P Corral, K Himelein, K McGee, I Molina Mathematics 9 (21), 2780, 2021 | 15 | 2021 |
| Alternatives to full listing for second stage sampling: Methods and implications K Himelein, S Eckman, S Murray, J Bauer Statistical Journal of the IAOS 33 (3), 701-718, 2017 | 14 | 2017 |
| The use of random geographic cluster sampling to survey pastoralists K Himelein, S Eckman, S Murray World Bank policy research working paper, 2013 | 14 | 2013 |
Kathleen BeegleLead EconomistVerified email at worldbank.org
