Improved Legume Seed Demand Systems In Central Malawi: What Do Farmers’ Seed Expenditures Say About Their Preferences?
Download full text from publisher
Other versions of this item:
- Kankwamba, Henry & Mangisoni, Julius H. & Simtowe, Franklin & Mausch, Kai & Siambi, Moses, 2012. "Improved Legume Seed Demand Systems in Central Malawi: What Do Farmers' Seed Expenditures Say about Their Preferences?," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 123945, International Association of Agricultural Economists.
References listed on IDEAS
- Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993.
"Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models,"
Journal of Econometrics,
Elsevier, vol. 58(3), pages 347-368, August.
- Vassilis A. Hajivassiliou & Axel Borsch-Supan, 1990. "Smooth Unbiased Multivariate Probability Simulators for Maximum Likelihood Estimation of Limited Dependent Variable Models," Cowles Foundation Discussion Papers 960, Cowles Foundation for Research in Economics, Yale University.
- Simtowe, Franklin & Zeller, Manfred, 2006.
"The Impact of Access to Credit on the Adoption of hybrid maize in Malawi: An Empirical test of an Agricultural Household Model under credit market failure,"
45, University Library of Munich, Germany.
- Simtowe, Franklin & Zeller, Manfred, 2008. "The Impact of Access to Credit on the Adoption of hybrid maize in Malawi: An Empirical test of an Agricultural Household Model under credit market failure," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52076, African Association of Agricultural Economists (AAAE).
- Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
- Alston, Julian M & Foster, Kenneth A & Green, Richard D, 1994. "Estimating Elasticities with the Linear Approximate Almost Ideal Demand System: Some Monte Carlo Results," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 351-356, May.
- Shahidur R. Khandker & Gayatri B. Koolwal & Hussain A. Samad, 2010. "Handbook on Impact Evaluation : Quantitative Methods and Practices," World Bank Publications, The World Bank, number 2693.
- Fisher, Monica, 2004. "Household welfare and forest dependence in Southern Malawi," Environment and Development Economics, Cambridge University Press, vol. 9(02), pages 135-154, May.
- Adolf Buse, 1994. "Evaluating the Linearized Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 781-793.
- Lorenzo Cappellari & Stephen P. Jenkins, 2003.
"Multivariate probit regression using simulated maximum likelihood,"
StataCorp LP, vol. 3(3), pages 278-294, September.
- Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," United Kingdom Stata Users' Group Meetings 2003 10, Stata Users Group.
- Alboghdady, Mohamed Altabei & Alashry, Mohamed Khairy, 2010.
"The demand for meat in Egypt: An almost ideal estimation,"
African Journal of Agricultural and Resource Economics,
African Association of Agricultural Economists, vol. 4(1), March.
- Alboghdady, Mohamed Altabei & Alashry, Mohamed Khairy, 2010. "The demand for meat in Egypt: An almost ideal estimation," Journal of Cooperatives, NCERA-210, vol. 4(1), March.
- Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
- Simtowe, Franklin & Asfaw, Solomon & Diagne, Aliou & Shiferaw, Bekele A., 2010. "Determinants of Agricultural Technology adoption: the case of improved groundnut varieties in Malawi," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 95921, African Association of Agricultural Economists (AAAE);Agricultural Economics Association of South Africa (AEASA).
- Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Kapopo, Vincent & Assa, Maganga, 2012. "Economic Analysis of Groundnut Production in Kasungu District, Malawi: A production Economics Approach," MPRA Paper 41593, University Library of Munich, Germany.
More about this item
Keywordslegumes; demand; LA/AIDS; multivariate probit; Agricultural and Food Policy; Crop Production/Industries; Production Economics;
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-AFR-2012-09-03 (Africa)
- NEP-AGR-2012-09-03 (Agricultural Economics)
- NEP-ALL-2012-09-03 (All new papers)
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:iaae12:131684. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/iaaeeea.html .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.