, Tanzania. World Development, vol.90, pp.169-183

,

A. M. Arborio, P. Fournier, and F. Singly, L'observation directe, 2e éd, Armand Colin. Ardilly, P., 2006. Les techniques de sondage. Éditions Technip, 2005.

V. Arthi, K. Beegle, J. De-weerdt, and A. Palacios-lópez, Not your average job: Measuring farm labor in Tanzania, Journal of Development Economics, vol.130, pp.160-172, 2018.

J. J. Bauer, Selection Errors of Random Route Samples, Sociological Methods & Research, 2014.

F. Bédécarrats, J. Cling, and F. Roubaud, Révolution des données et enjeux de la statistique en Afrique, Afrique contemporaine, vol.9, 2016.

K. Beegle, J. De-weerdt, J. Friedman, and J. Gibson, Methods of household consumption measurement through surveys: Experimental results from Tanzania, Journal of Development Economics, vol.98, pp.3-18, 2012.

K. Beegle, L. Christiaensen, A. Dabalen, and I. Gaddis, Poverty in a Rising Africa, 2016.

G. Blair and K. Imai, Statistical analysis of list experiments, Political Analysis, vol.20, pp.47-77, 2012.

G. Blair, K. Imai, and Y. Zhou, Design and Analysis of the Randomized Response Technique, Journal of the American Statistical Association, vol.110, pp.1304-1319, 2015.

W. Bullock, K. Imai, and J. N. Shapiro, Statistical analysis of endorsement experiments: Measuring support for militant groups in Pakistan, Political Analysis, vol.19, pp.363-384, 2011.

B. Caeyers, N. Chalmers, and J. De-weerdt, Improving consumption measurement and other survey data through CAPI: Evidence from a randomized experiment, J. Dev. Econ, vol.98, pp.19-33, 2012.

C. Carletto, S. Gourlay, and P. Winters, From Guesstimates to GPStimates: Land Area Measurement and Implications for Agricultural Analysis, J Afr Econ, vol.24, pp.593-628, 2015.

,

C. Carletto, S. Gourlay, S. Murray, and A. Zezza, Cheaper, Faster, and More than Good Enough: Is Gps the New Gold Standard in Land Area Measurement? (SSRN Scholarly Paper No. ID 2813013), Social Science Research Network, 2016.

J. Choumert-nkolo, H. Cust, and C. Taylor, Using paradata to collect better survey data : Evidence from a household survey in Tanzania, 2018.

K. Croke, A. Dabalen, G. Demombybes, M. Giugale, and J. Hoogeveen, Collecting High Frequency Panel Data in Africa Using Mobile Phone Interviews, Policy Research Working Papers, 2012.

A. Dabalen, A. Etang, J. Hoogeveen, E. Mushi, Y. Schipper et al., Mobile Phone Panel Surveys in Developing Countries: A Practical Guide for Microdata Collection, 2016.

J. De-weerdt, K. Beegle, J. Friedman, and J. Gibson, The Challenge of Measuring Hunger through Survey, Economic Development and Cultural Change, vol.64, pp.727-758, 2016.

K. Deininger, C. Carletto, S. Savastano, and J. Muwonge, Can diaries help improve agricultural production statistics? Evidence from Uganda, 2011.

G. Demombynes, P. Gubbins, and A. Romeo, Challenges and opportunities of mobile phonebased data collection: Evidence from South Sudan. World Bank Policy Research Working Paper 6321, 2013.

S. Desiere and D. Jolliffe, Land productivity and plot size: Is measurement error driving the inverse relationship, Journal of Development Economics, vol.130, pp.84-98, 2018.

,

X. Diao and M. Mcmillan, Toward an Understanding of Economic Growth in Africa: A Reinterpretation of the Lewis Model, 2017.

B. Dillon, Using mobile phones to collect panel data in developing countries, Journal of International Development, vol.24, pp.518-527, 2012.

J. Eyerman, Drone-Assisted Sample Design for Developing Countries, 2015.

G. Farfán, M. E. Genoni, and R. Vakis, You are what (and where) you eat: Capturing food away from home in welfare measures, Food Policy, vol.72, pp.146-156, 2017.

,

J. L. Fiedler and S. Yadav, How can we better capture food away from Home? Lessons from India's linking person-level meal and household-level food data, SI: Food counts, vol.72, pp.81-93, 2017.

, Études et Documents, vol.13, 2018.

A. Finn and V. Ranchhod, Genuine Fakes: The prevalence and implications of fieldworker fraud in a large South African survey, 2013.

M. Fisher, J. J. Reimer, and E. R. Carr, Who Should be Interviewed in Surveys of Household Income?, World Development, vol.38, pp.966-973, 2010.

I. Gaddis, G. Oseni, A. Palacios-lopez, and J. Pieters, Measuring Farm Labor: Survey Experimental Evidence from Ghana, 2017.

F. J. Gallego, H. Kerdiles, and O. Leo, Using GIS and Remote Sensing to build Master Sampling Frames for Agricultural Statistics, 2015.

C. Gaziano, Comparative analysis of within-household respondent selection techniques, Public Opinion Quarterly, vol.69, pp.124-157, 2005.

C. M. Gevaert, R. Sliuzas, C. Persello, and G. Vosselman, Evaluating the Societal Impact of Using Drones to Support Urban Upgrading Projects, ISPRS International Journal of GeoInformation, vol.7, issue.3, p.91, 2018.

J. Gibson and D. Mckenzie, Using global positioning systems in household surveys for better economics and better policy, The World Bank Research Observer, vol.22, pp.217-241, 2007.

R. Glennerster, C. Walsh, and L. Diaz-martin, A practical guide to measuring women's and girls' empowerment in impact evaluations, 2018.

D. Gollin, D. Lagakos, and M. E. Waugh, The agricultural productivity gap, The Quarterly Journal of Economics, vol.129, issue.2, pp.939-993, 2013.

M. Grosh and P. Glewwe, Designing household survey questionnaires for developing countries, 2000.

, GSARS (2015) Bases de sondage principales pour les statistiques agricoles

L. Haddad, J. Hoddinott, and H. Alderman, Intrahousehold resource allocation in developing countries: models, methods and policies, 1997.

D. D. Heckathorn, Respondent-driven sampling: a new approach to the study of hidden populations, Social problems, vol.44, pp.174-199, 1997.

, Études et Documents, vol.13, 2018.

P. C. Hewett, A. S. Erulkar, and B. S. Mensch, The Feasibility of Computer-Assisted Survey Interviewing in Africa: Experience from Two Rural Districts in Kenya, Social Science Computer Review, vol.22, pp.319-334, 2004.

K. Himelein, S. Eckman, and S. Murray, Sampling Nomads: A New Technique for Remote, Hardto-Reach, and Mobile Populations, Journal of Official Statistics, vol.30, pp.191-213, 2014.

,

K. Himelein, S. Eckman, S. Murray, and J. Bauer, Alternatives to full listing for second stage sampling: Methods and implications, Statistical Journal of the IAOS, vol.33, pp.701-718, 2017.

,

, Economically Active Population, Employment, Hours of Work (Household Surveys), Statistical Sources and Methods, vol.3, 1990.

M. Jerven, Poor Numbers: How We Are Misled by African Development Statistics and What to Do about It, 2013.

M. Jerven and D. Johnston, Statistical Tragedy in Africa? Evaluating the Data Base for African Economic Development, The Journal of Development Studies, vol.51, pp.111-115, 2015.

,

L. G. Johnston and K. Sabin, Échantillonnage déterminé selon les répondants pour les populations difficiles à joindre, Methodological Innovations Online, vol.5, pp.38-48, 2010.

,

T. Kilic, A. Zezza, C. Carletto, and S. Savastano, Missing(ness) in Action: Selectivity Bias in GPSBased Land Area Measurements, World Development, vol.92, pp.143-157, 2017.

,

J. D. King, J. Buolamwini, E. A. Cromwell, A. Panfel, T. Teferi et al., A Novel Electronic Data Collection System for Large-Scale Surveys of Neglected Tropical Diseases, PLOS ONE, vol.8, 2013.

L. Kish, Survey sampling, 1995.

A. Kraay and P. Murrell, Misunderestimating Corruption, The Review of Economics and Statistics, vol.98, pp.455-466, 2015.
DOI : 10.1596/1813-9450-6488

URL : http://www-wds.worldbank.org/external/default/WDSContentServer/IW3P/IB/2013/06/17/000158349_20130617134939/Rendered/PDF/WPS6488.pdf

, Études et Documents, vol.13, 2018.

E. D. Leeuw and . De, The effect of computer-assisted interviewing on data quality: a review of the evidence, 2008.

C. Leisher, A Comparison of Tablet-Based and Paper-Based Survey Data Collection in Conservation Projects, Soc. Sci, vol.3, pp.264-271, 2014.

B. Leo, R. Morello, J. Mellon, T. Peixoto, and S. Davenport, Do Mobile Phone Surveys Work in Poor Countries? CGD Working Paper 398, 2015.
DOI : 10.2139/ssrn.2623097

W. A. Lewis, Economic development with unlimited supplies of labour, The manchester school, vol.22, issue.2, pp.139-191, 1954.

S. Lohr, Sampling: design and analysis, 2009.

S. A. Lowther, F. C. Curriero, T. Shields, S. Ahmed, M. Monze et al., Feasibility of satellite image-based sampling for a health survey among urban townships of Lusaka, Zambia, Tropical Medicine & International Health, vol.14, pp.70-78, 2009.

J. Lyall, G. Blair, and K. Imai, Explaining Support for Combatants during Wartime: A Survey Experiment in Afghanistan, American Political Science Review, vol.107, pp.679-705, 2013.

,

M. C. Macdonald, M. Elliott, T. Chan, A. Kearton, K. F. Shields et al., Investigating Multiple Household Water Sources and Uses with a Computer-Assisted Personal Interviewing (CAPI) Survey. Water 8, p.574, 2016.

N. Mccreesh, S. D. Frost, J. Seeley, J. Katongole, M. N. Tarsh et al.,

D. Maher, L. G. Johnston, P. Sonnenberg, A. J. Copas, R. J. Hayes et al., Evaluation of Respondent-driven Sampling, Epidemiology, vol.23, pp.138-147, 2012.

,

E. B. Mccullough, Labor productivity and employment gaps in Sub-Saharan Africa, Food policy, vol.67, pp.133-152, 2017.

D. Mckenzie and M. Siegel, Eliciting illegal migration rates through list randomization, Migr Stud, vol.1, pp.276-291, 2013.

G. Oseni, J. Durazo, and K. Mcgee, The use of non-standard measurement units for the collection of food quantity: a guidebook for improving the measurement of food consumption and agricultural production in living standards surveys, LSMS Guidebook, 2017.

P. Phélinas, Mesurer l'emploi, le chômage et le sous-emploi rural dans une économie en voie de développement. Revue française de socio-Economie, pp.103-121, 2010.

A. E. Phillips, G. B. Gomez, M. Boily, and G. P. Garnett, A systematic review and meta-analysis of quantitative interviewing tools to investigate self-reported HIV and STI associated behaviours in low-and middle-income countries, International Journal of Epidemiology, vol.39, pp.1541-1555, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00608720

T. Reardon and P. Glewwe, Agriculture. Designing Household Survey Questionnaires for Developing Countries, Lessons from 15 years of the Living Standards Measurement Study, vol.2, pp.139-181, 2000.

L. Rizzo, J. M. Brick, and I. Park, A Minimally Intrusive Method for Sampling Persons in Random Digit Dial Surveys, Public Opinion Quarterly, vol.68, pp.267-274, 2004.
DOI : 10.1093/poq/nfh014

B. Rosenfeld, K. Imai, and J. N. Shapiro, An Empirical Validation Study of Popular Survey Methodologies for Sensitive Questions: Validation of Survey Methodologies for Sensitive Questions, American Journal of Political Science, vol.60, pp.783-802, 2016.

,

J. Sandefur and A. Glassman, The Political Economy of Bad Data: Evidence from African Survey and Administrative Statistics, The Journal of Development Studies, vol.51, pp.116-132, 2015.

L. C. Smith, O. Dupriez, and N. Troubat, Assessment of the reliability and relevance of the food data collected in national household consumption and expenditure surveys. International Household Survey Network, 2014.

R. Tourangeau and T. Yan, Sensitive questions in surveys, Psychological bulletin, vol.133, issue.5, pp.859-883, 2007.

, Designing household survey samples: practical guidelines, vol.98, 2008.

T. Yan, R. Tourangeau, and R. Mcaloon, A Meta-analysis of Within-Household Respondent Selection Methods on Demographic Representativeness, Federal Committee on Statistical Methodology, 2015.