Farm Production Diversity: Is It Important for Dietary Diversity? Panel Data Evidence from Uganda
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- Maria Sassi, 2019. "Seasonality and Nutrition-Sensitive Agriculture in Kenya: Evidence from Mixed-Methods Research in Rural Lake Naivasha Basin," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
- Haruna Sekabira & Matin Qaim, 2017. "Mobile money, agricultural marketing, and off-farm income in Uganda," Agricultural Economics, International Association of Agricultural Economists, vol. 48(5), pages 597-611, September.
- Arellano, Manuel & Bover, Olympia, 1995.
"Another look at the instrumental variable estimation of error-components models,"
Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
- M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
- Rosina Wanyama & Theda Gödecke & Matin Qaim, 2019. "Food Security and Dietary Quality in African Slums," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
- Munyegera, Ggombe Kasim & Matsumoto, Tomoya, 2016. "Mobile Money, Remittances, and Household Welfare: Panel Evidence from Rural Uganda," World Development, Elsevier, vol. 79(C), pages 127-137.
- N. S. Ssewanyana & A J. Okidi & D. Angemi & V. Barungi, 2004. "Understanding the determinants of income inequality in Uganda," CSAE Working Paper Series 2004-29, Centre for the Study of African Economies, University of Oxford.
- Arndt, Channing & McKay, Andy & Tarp, Finn (ed.), 2016. "Growth and Poverty in Sub-Saharan Africa," OUP Catalogue, Oxford University Press, number 9780198744795.
- Channing Arndt & Kenneth R. Simler, 2010. "Estimating Utility-Consistent Poverty Lines with Applications to Egypt and Mozambique," Economic Development and Cultural Change, University of Chicago Press, vol. 58(3), pages 449-474, April.
- Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
- Abu Hayat Md. Saiful Islam & Joachim Braun & Andrew L. Thorne-Lyman & Akhter U. Ahmed, 2018. "Farm diversification and food and nutrition security in Bangladesh: empirical evidence from nationally representative household panel data," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(3), pages 701-720, June.
- Jeffrey M Wooldridge, 2010.
"Econometric Analysis of Cross Section and Panel Data,"
MIT Press Books,
The MIT Press,
edition 2, volume 1, number 0262232588, April.
- Jeffrey M. Wooldridge, 2001. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262232197, April.
- Badi Baltagi & Seuck Song, 2006. "Unbalanced panel data: A survey," Statistical Papers, Springer, vol. 47(4), pages 493-523, October.
- Shankar, Venkataraman & Mannering, Fred, 1998. "Modeling the endogeneity of lane-mean speeds and lane-speed deviations: a structural equations approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(5), pages 311-322, September.
- Diego Angemi & N.S. Ssewanyana, 2004. "Understanding the Determinants of Income Inequality in Uganda," Economics Series Working Papers WPS/2004-29, University of Oxford, Department of Economics.
- Jones, Andrew D. & Shrinivas, Aditya & Bezner-Kerr, Rachel, 2014. "Farm production diversity is associated with greater household dietary diversity in Malawi: Findings from nationally representative data," Food Policy, Elsevier, vol. 46(C), pages 1-12.
- Sekabira, Haruna & Qaim, Matin, 2017. "Can Mobile Phones Improve Gender Equality and Nutrition? Panel Data Evidence from Farm Households in Uganda," GlobalFood Discussion Papers 256215, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
- Minten, Bart & Barrett, Christopher B., 2008. "Agricultural Technology, Productivity, and Poverty in Madagascar," World Development, Elsevier, vol. 36(5), pages 797-822, May.
- Thomas Reardon & J. Edward Taylor & Kostas Stamoulis & Peter Lanjouw & Arsenio Balisacan, 2000. "Effects of Non‐Farm Employment on Rural Income Inequality in Developing Countries: An Investment Perspective," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(2), pages 266-288, May.
- Sekabira, Haruna & Qaim, Matin, 2017. "Can mobile phones improve gender equality and nutrition? Panel data evidence from farm households in Uganda," Food Policy, Elsevier, vol. 73(C), pages 95-103.
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- Haruna Sekabira & Shamim Nalunga & Yves Didier Umwungerimwiza & Lydia Nazziwa & Stanley Peter Ddungu, 2021. "Household Farm Production Diversity and Micronutrient Intake: Where Are the Linkages? Panel Data Evidence from Uganda," Sustainability, MDPI, vol. 13(7), pages 1-21, April.
- Sikhulumile Sinyolo & Conrad Murendo & Admire Mutsa Nyamwanza & Sithembile Amanda Sinyolo & Catherine Ndinda & Chijioke Osinachi Nwosu, 2021. "Farm Production Diversification and Dietary Diversity among Subsistence Farming Households: Panel Data Evidence from South Africa," Sustainability, MDPI, vol. 13(18), pages 1-14, September.
- Nandi, Ravi & Nedumaran, Swamikannu, 2021. "Disentangling the Impact Pathways of Tank Irrigation to Rural Food Security: Farm-Level Study from Telangana, India," 2021 Conference, August 17-31, 2021, Virtual 315150, International Association of Agricultural Economists.
- Sekabira, Haruna & Nalunga, Shamim & Umwungerimwiza, Yves Didier & Nazziwa, Lydia & Ddungu, Stanley Peter, 2021. "Household Farm Production Diversity and Micronutrient Intake: Where Are the Linkages? Panel Data Evidence from Uganda," 2021 Conference, August 17-31, 2021, Virtual 315013, International Association of Agricultural Economists.
- Ramahaimandimby, Zoniaina & Shiratori, Sakiko & Sakurai, Takeshi, 2022. "Comparison of Two Pathways Linking Agriculture to Child Health: Dietary Diversity and Micronutrient Intake in the Malagasy Highlands," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 24.
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Keywords
farm production diversity; household dietary diversity; nutrition security; Uganda;All these keywords.
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