Reliability of recall in agricultural data K Beegle, C Carletto, K Himelein The World Bank, 2011 | 147 | 2011 |
Frame-of-reference bias in subjective welfare K Beegle, K Himelein, M Ravallion Journal of Economic Behavior & Organization 81 (2), 556-570, 2012 | 59 | 2012 |
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 | 44 | 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, 2014 | 42 | 2014 |
Can subjective questions on economic welfare be trusted? M Ravallion, K Himelein, K Beegle Economic Development and Cultural Change 64 (4), 697-726, 2016 | 38 | 2016 |
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 | 34 | 2010 |
Interviewer effects in subjective survey questions: evidence from Timor-Leste K Himelein International Journal of Public Opinion Research 28 (4), 511-533, 2016 | 21 | 2016 |
Frame-of-reference bias in subjective welfare regressions K Beegle, K Himelein, M Ravallion | 18 | 2009 |
Weight calculations for panel surveys with subsampling and split-off tracking K Himelein Statistics and Public Policy 1 (1), 40-45, 2014 | 14 | 2014 |
The socio-economic impacts of Ebola in Liberia: Results from a high frequency cell phone survey K Himelein World Bank Group, 2014 | 14 | 2014 |
Can subjective questions on economic welfare be trusted? evidence for three developing countries M Ravallion, K Himelein, K Beegle The World Bank, 2013 | 12 | 2013 |
The use of random geographic cluster sampling to survey pastoralists K Himelein, S Eckman, S Murray The World Bank, 2013 | 12 | 2013 |
The socio-economic impacts of Ebola in Sierra Leone K Himelein, M Testaverde, A Turay, S Turay World Bank, Washington, DC, 2015 | 11 | 2015 |
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 | 9 | 2017 |
Second-stage sampling for conflict areas: Methods and implications K Himelein, S Eckman, S Murray, J Bauer World Bank Policy Research Working Paper, 2016 | 9 | 2016 |
Socio-Economic Impacts of Ebola in Liberia: Results from a High Frequency Cell Phone Survey, Round 5 K Himelein, JG Kastelic | 8 | 2015 |
The lay of the land: Land access and dispute resolution in Timor-Leste P Dale, K Himelein, D Nikitin, A Bexley World Bank, Washington, DC, 2010 | 8 | 2010 |
Mobile phone surveys for understanding Covid-19 impacts. Part II: response, quality, and questions K Himelein, S Eckman, C Lau, D McKenzie Development Impact Blog 8, 2020 | 7 | 2020 |
A novel approach to the automatic designation of predefined census enumeration areas and population sampling frames: A case study in Somalia S Qader, V Lefebvre, A Ninneman, K Himelein, U Pape, L Bengtsson, ... The World Bank, 2019 | 7 | 2019 |
Surveying justice: a practical guide to household surveys K Himelein, N Menzies, M Woolcock World Bank Justice and Development Working Paper, 2010 | 7 | 2010 |