Afari-Sefa, V., Rajendran, S., Kessy, R.K., Karanja, D.K., Musebe, R., Samali, S., and Makaranga, M.
2016. Tanzania. Impact of nutritional perceptions of traditional African vegetables on farm household production decisions: A case study of smallholders in Tanzania. Experimental Agriculture
Afari-Sefa, V., Tenkouano, A., Ojiewo, C., Keatinge, J.D.H., and Hughes, J.d'A.
2012. Vegetable breeding in Africa: Constraints, complexity and contributions towards achieving food and nutritional security. Food Security
Ali, M. and Tsou, S.C.S.
1997. Combating micronutrient deficiencies through vegetables—a neglected food frontier in Asia. Food Policy
2010. An Analysis of Traditional African Vegetables and Sweet potato Consumer Demand in Kenya and Tanzania. Technical Report Submitted to AVRDC—The World Vegetable Center, Arusha, Tanzania.
2000. Evaluating the Impact of Development Projects on Poverty. A Handbook for Practitioners. The International Bank for Reconstruction and Development-The World Bank 1818 H Street, N.W. Washington, DC. 20433.
Becerril, J. and Abdulai, A.
2010. The impact of improved maize varieties on poverty in Mexico: A propensity score-matching approach. World Development
Becker, S.O. and Ichino, A.
2002. Estimation of average treatment effects based on propensity scores. The Stata Journal
Caliendo, M. and Kopeinig, S.
2008. Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys
Chweya, J.A. and Eyzaguirre, P.B.
1999. The Biodiversity of Traditional Leafy Vegetables. International Plant Genetics Resources Institute, Rome, Italy.
2011. Remittance and Household Expenditure Patterns in Tajikistan: A Propensity Score Matching Analysis. GREThA, CNRS, UMR 5113, University of Bordeaux, Talence, France. Available at Web site http://cahiersdugretha.u-bordeaux4.fr/2011/2011-09.pdf (verified 3rd February 2016).
Cochrane, N. and D'Souza, A.
2015. Measuring Access to Food in Tanzania: A Food Basket Approach, EIB-135, US Department of Agriculture, Economic Research Service (verified 5th October 2016).
Ecker, O., Weinberger, K., and Qaim, M.
2010. Patterns and determinants of dietary micronutrient deficiencies in rural areas of East Africa. African Journal of Agricultural and Resource Economics
Fischer, E. and Qaim, M.
2012. Linking smallholders to markets: Determinants and impacts of farmer collective action in Kenya. World Development
Hirano, K. and Imbens, G.W.
2001. Estimation of causal effects using propensity score weighting: An application to data on right heart catheterization. Health Services and Outcomes Research Methodology
Ivers, L.C. and Cullen, K.A.
2011. Food insecurity: Special considerations for women. American Journal of Clinical Nutrition
Johns, T. and Sthapit, B.
2004. Bio-cultural diversity in the sustainability of developing country food systems. Food and Nutrition Bulletin
Johnston, J. and DiNardo, J.
2007. Econometric Methods. 4th ed.
McGraw-Hill Publishers, Singapore.
Keatinge, J.D.H., Yang, R-Y., Hughes, J. d'A., Easdown, W.J., and Holmer, R.
2011. The importance of ensuring both food and nutritional security in the likely future attainment of the millennium development goals. Food Security
Keding, G.B., Weinberger, K., Swai, I., and Mndiga, H.
2007. Diversity,traits and use of traditional vegetables in Tanzania (Technical Bulletin No.40). Shanhua: AVRDC - The World Vegetable Center.
Kennedy, G., Ballard, T., and Dop, M. (2010). Guidelines for Measuring Household and Individual Dietary Diversity. Nutrition and Consumer Protection Division, Food and Agriculture Organization of the United Nations, Rome. Available at Web site http://www.fao.org/3/a-i1983e.pdf (verified 20th December 2015).
Leuven, E., and Sianesi, B.
2003. PSMATCH2: Stata Module to Perform Full Mahalanobis and Propensity Score Matching, Common Support Graphing, and cOvariate Imbalance Testing. Boston College Department of Economics, Statistical Software Components. Available at Web site http://ideas.repec.org/c/boc/bocode/s432001.html.
2004. Characterization and purification of African nightshade accessions for sustainable seed purification in Kenya. In the Proceedings of the Third Horticulture Workshop on Sustainable Horticultural Production in the Tropics, 26th–29th November 2003. Maseno University, MSU, Maseno, Kenya. Available at Web site http://www.igps.uni-hannover.de/fileadmin/gemuesebau/pdf/SVepit/PROCEEDINGS_2003.pdf (verified 25th February 2016).
Nesamvuni, C., Steyn, N.P., and Potgieter, M.J.
2001. Nutritional value of wild leafy plants consumed by the Vhavenda. South African Journal of Science
Ochieng, J., Ouma, E., Knerr, B., and Owuor, G.
2015. Agricultural commercialization and household food security: The case of smallholders in Great Lakes Region of Central Africa. A Paper Presented at IAAE Conference, Milan, Italy. Available at Web site http://purl.umn.edu/212588 (verified 3rd February 2016).
Ojiewo, C.O., Abdou, T., Hughes, J., and Keatinge, J.D.H.
2013a. Diversifying diets: Using African indigenous vegetables to improve nutrition and health. In Fanzo, J., Hunter, D., Borelli, T. and Mattei Earthscan, F. (eds). Diversifying Food and Diets: Using Agricultural Biodiversity to Improve Nutrition and Health. Routledge, Abingdon, UK. p. 291–302.
Ojiewo, C.O., Mwai, G.N., Abukutsa-Onyango, M.O., Aging, S.G., and Nono- Womdim, R.
2013b. Exploiting the genetic diversity of vegetable African nightshades. Bioremediation, Biodiversity and Bioavailability
Pirracchio, R., Resche-Rigon, M., and Chevret, S.
2012. Evaluation of the propensity score methods for estimating marginal odds ratios in case of small sample size. BMC Medical Research Methodology
2010. Design of Observational Studies, Series in Statistics. Springer, New York.
2005. Sensitivity analysis in observational studies. Encyclopedia of Statistics in Behavioral Science
Rosenbaum, P.R. and Rubin, D.B.
1983. The central role of the propensity score in observational studies for causal effects. Biometrica
Rosenbaum, P.R. and Rubin, D.B.
1985. Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician
Savy, M., Martin-Prevel, Y., Sawadogo, P., Kameli, Y., and Delpeuch, F.
2005. Use of variety/diversity scores for diet quality measurement: Relation with nutritional status of women in a rural area in Burkina Faso. European Journal of Clinical Nutrition
Sawadogo, S.P., Yves, M.P., Claire, M.R., Alain, B., Alfred, T.S., Serge, T., and Francis, D.
2010. Late introduction and poor diversity were the main weaknesses of complementary foods in a cohort study in rural Burkina Faso. Nutrition
Schreinemachers, P., Wu, M.-h., Uddin, M.N., Ahmad, S., and Hanson, P.
2016. Farmer training in off-season vegetables: Effects on income and pesticide use in Bangladesh. Food Policy
Taruvinga, A. and Nengovhela, R.
2015. Consumers perceptions and consumption dynamics of African leafy vegetables (ALVs): Evidence from Feni communal area, eastern cape province, South Africa. In 5th International Conference on Biomedical Engineering and Technology (ICBET 2015). Available at Web site http://www.ipcbee.com/vol81/016-ICBET2015-Y3004.pdf (verified 22nd January 2016).
2011. The nutritional and economic potential of vegetables. In World Watch Institute (ed.). The State of the World 2011: Innovations that Nourish the Planet. World Watch Institute, Washington, DC. p. 27–35.
Thompson, B. and Meerman, J.
2014. Towards long-term nutrition security: The role of agriculture in dietary diversity. In Thompson, B. and Amoroso, L. (eds). Improving Diets and Nutrition: Food-based Approaches. Rome, FAO and CABI, Wallingford, UK. p. 246–267.
Weinberger, K. and Msuya, J.
2004. Indigenous Vegetables in Tanzania: Significance and Prospects, Technical Bulletin No. 31, AVRDC—The World Vegetable Center, Shanhua, Taiwan.
2007. Inverse probability weighted estimation for general missing data problems. Journal of Econometrics