COVID-19 emergency income grant and food security in Namibia

References

• Abadie, A & Cattaneo, MD, 2018. Econometric methods for program evaluation. Annual Review of Economics 10, 465–503.
   Web of Science ®Google Scholar
• Abdeen, A, Kharvari, F, O'Brien, W & Gunay, B, 2021. The impact of the COVID-19 on households’ hourly electricity consumption in Canada. Energy and Buildings 250, 111280.
   PubMed Web of Science ®Google Scholar
• Akrofi, MM & Antwi, SH, 2020. COVID-19 energy sector responses in Africa: A review of preliminary government interventions. Energy Research & Social Science 68, 101681.
   PubMed Web of Science ®Google Scholar
• Almeida, V, Barrios, S, Christl, M, De Poli, S, Tumino, A & van der Wielen, W, 2021. The impact of COVID-19 on households´ income in the EU. The Journal of Economic Inequality, 1–19.
   PubMed Web of Science ®Google Scholar
• Altman, M, Hart, T & Jacobs, P, 2009. Food security in South Africa. tech. Rep. HSRC, Cape Town.
   Google Scholar
• Amesho, JN, Ahmadi, A & Lucero-Prisno III, DE, 2020. The calculated responses against COVID-19 in Namibia. The Pan African Medical Journal 37(Suppl 1), 25.
   PubMedGoogle Scholar
• Arndt, C, Davies, R, Gabriel, S, Harris, L, Makrelov, K, Robinson, S, … Anderson, L, 2020. COVID-19 lockdowns, income distribution, and food security: An analysis for South Africa. Global Food Security 26, 100410.
   PubMedGoogle Scholar
• Asmah, EE & Orkoh, E, 2017. Self-care knowledge of hypertension prevention and control among women in Contemporary Ghana. American Journal of Health Education 48(6), 374–81.
   Web of Science ®Google Scholar
• Bahta, YT & Musara, JP, 2022. Quantifying the impact of COVID-19 relief vouchers schemes on food security: Empirical evidence insights from South Africa. Land 11(9), 1431.
   Web of Science ®Google Scholar
• Bank of Namibia, 2022. Annual report, PART B: State of the economy - Macroeconomic Review. Retrieved from https://www.bon.com.na/Publications/Annual-Report/PART-B.aspx#mainContentWrapper.
   Google Scholar
• Becker, SO & Ichino, A, 2002. Estimation of average treatment effects based on propensity scores. The Stata Journal: Promoting Communications on Statistics and Stata 2(4), 358–77.
   Google Scholar
• Blumberg, SJ, Bialostosky, K, Hamilton, WL & Briefel, RR, 1999. The effectiveness of a short form of the household food security scale. American Journal of Public Health 89(8), 1231–4.
   PubMed Web of Science ®Google Scholar
• Breisinger, C, Raouf, M, Wiebelt, M, Kamaly, A & Karara, M, 2020. Impact of COVID-19 on the Egyptian economy: Economic sectors, jobs, and households (Vol. 6). Intl Food Policy Res Inst.
   Google Scholar
• Bukari, C, Aning-Agyei, MA, Kyeremeh, C, Essilfie, G, Amuquandoh, KF, Owusu, AA, … Bukari, KI, 2022. Effect of COVID-19 on household food insecurity and poverty: Evidence from Ghana. Social Indicators Research 159(3), 991–1015.
   PubMed Web of Science ®Google Scholar
• Busso, M, DiNardo, J & McCrary, J, 2014. New evidence on the finite sample properties of propensity score reweighting and matching estimators. Review of Economics and Statistics 96(5), 885–97.
   Web of Science ®Google Scholar
• Caliendo, M & Kopeinig, S, 2008. Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys 22(1), 31–72.
   Web of Science ®Google Scholar
• Charan, J & Biswas, T, 2013. How to calculate sample size for different study designs in medical research? Indian Journal of Psychological Medicine 35(2), 121.
   PubMedGoogle Scholar
• Chiwona-Karltun, L, Amuakwa-Mensah, F, Wamala-Larsson, C, Amuakwa-Mensah, S, Abu Hatab, A, Made, N, … Bizoza, AR, 2021. COVID-19: From health crises to food security anxiety and policy implications. Ambio 50(4), 794–811.
   PubMed Web of Science ®Google Scholar
• Creswell, JW, 2015. Revisiting mixed methods and advancing scientific practices. In S Hesse-Biber & J RB (Eds.), The Oxford handbook of multimethod and mixed methods research inquiry. (pp. 61–71) Oxford University Press, New York.
   Google Scholar
• Daniel, WW & Cross, CL, 2018. Biostatistics: A foundation for analysis in the health sciences. Wiley.
   Google Scholar
• Deloitte, 2020. COVID-19 Pandemic: Announcement of economic stimulus and relief package by the Minister of Finance: Tax Alert 3/2020, Namibia.
   Google Scholar
• Devereux, S, Béné, C & Hoddinott, J, 2020. Conceptualising COVID-19’s impacts on household food security. Food Security 12(4), 769–72.
   PubMed Web of Science ®Google Scholar
• Doss, C, Njuki, J & Mika, H, 2020. The potential intersections of COVID-19, gender and food security in Africa. Journal of Gender, Agriculture and Food Security 5(1).
   Google Scholar
• Evelina, J, Nuugulu, S & Lukas Homateni, J, 2020. Estimating the economic impact of COVID-19: A case study of Namibia. University Library of Munich, Germany.
   Google Scholar
• Heckman, JJ, Ichimura, H & Todd, PE, 1997. Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme. The Review of Economic Studies 64(4), 605–54.
   Web of Science ®Google Scholar
• IPC, 2021. Acute Food Insecurity Analysis October 2021 - March 2022. Access on 6 March 2022 from https://www.ipcinfo.org/ipc-country-analysis/details-map/en/c/1155353/.
   Google Scholar
• Kaisara, G & Bwalya, KJ, 2020. Investigating the E-learning challenges faced by students during COVID-19 in Namibia. International Journal of Higher Education 10(1), 308–18.
   Google Scholar
• Kansiime, MK, Tambo, JA, Mugambi, I, Bundi, M, Kara, A & Owuor, C, 2021. COVID-19 implications on household income and food security in Kenya and Uganda: Findings from a rapid assessment. World Development 137, 105199.
   PubMed Web of Science ®Google Scholar
• Legal Assistance Center, 2017. Namibia Gender Analysis 2017. http://www.lac.org.na/projects/grap/Pdf/Namibia_Gender_Analysis_2017.pdf.
   Google Scholar
• Lendelvo, SM, Pinto, M & Sullivan, S, 2020. A perfect storm? The impact of COVID-19 on community-based conservation in Namibia. Namibian Journal of the Environment 4, 1–15.
   Google Scholar
• Longo, P, 2016. Food justice and sustainability: A new revolution. Agriculture and Agricultural Science Procedia 8, 31–6.
   Google Scholar
• Miller, CM, Tsoka, M & Reichert, K, 2011. The impact of the social cash transfer scheme on food security in Malawi. Food Policy 36(2), 230–8.
   Web of Science ®Google Scholar
• Ministry of Finance, 2020. Economic stimulus and relief package: Impact of COVID-19 on the economy and households, media statement. Ministry of Finance, Namibia.
   Google Scholar
• Namibian Statistical Agency, 2021. Namibia Multidimensional Poverty Index (MPI) Report 2021. Retrieved from https://ophi.org.uk/wp-content/uploads/Namibia_MPI_report_2021.pdf.
   Google Scholar
• Namibia Statistics Agency, 2017. Namibia household income and expenditure survey (NHIES) 2015/2016 report. Windhoek. Namibia.
   Google Scholar
• Neuman, WL, 2014. Pearson new international edition social research methods: Qualitative and quantitative approaches. Pearson Education Limited, England.
   Google Scholar
• Orkoh, E, 2018. Gender welfare effects of regional trade integration on households in Ghana. In Trade and poverty reduction: New evidence of impacts in developing countries. (pp. 36–57). World Trade Organization, Geneva.
   Google Scholar
• Orkoh, E & Efobi, U, 2023. Effects of behaviour change communication on knowledge and prevention of malaria Among women in Ghana. Evaluation Review, doi:10.1177/0193841X231194565
   PubMed Web of Science ®Google Scholar
• Rosenbaum, PR, 2002. Covariance adjustment in randomized experiments and observational studies. Statistical Science 17(3), 286–327.
   Web of Science ®Google Scholar
• Rubin, DB & Thomas, N, 1996. Matching using estimated propensity scores: Relating theory to practice. Biometrics, 249–64.
   PubMed Web of Science ®Google Scholar
• Saturni, S, Bellini, F, Braido, F, Paggiaro, P, Sanduzzi, A, Scichilone, N, … Papi, A, 2014. Randomized controlled trials and real life studies. Approaches and methodologies: A clinical point of view. Pulmonary Pharmacology & Therapeutics 27(2), 129–38.
   PubMed Web of Science ®Google Scholar
• Shangula, K, 2020. Update by Dr Kalumbi Shangula, minister of health and social services on COVID-19 in Namibia. Ministry of Health and Social Services.
   Google Scholar
• Tavakol, M & Dennick, R, 2011. Making sense of Cronbach's alpha. International Journal of Medical Education 2, 53.
   PubMedGoogle Scholar
• Tirivangani, T, Alpo, B, Kibuule, D, Gaeseb, J & Adenuga, BA, 2021. Impact of COVID-19 pandemic on pharmaceutical systems and supply chain – a phenomenological study. Exploratory Research in Clinical and Social Pharmacy 2, 100037.
   PubMedGoogle Scholar
• United Nations, 2020. Socioeconomic impact assessment of COVID-19 in Namibia. The United Nations System (UNS) in Namibia.
   Google Scholar
• Waidler, J & Devereux, S, 2019. Social grants, remittances, and food security: Does the source of income matter? Food Security 11(3), 679–702.
   Web of Science ®Google Scholar
• White, H & Sabarwal, S, 2008. Quasi-experimental design and methods, methodological briefs: Impact evaluation 8. UNICEF Office of Research, Florence, Italy.
   Google Scholar