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Abdulai, S. (2015). Technical efficiency of maize production in Northern Ghana. Department of Agricultural Economics, University for Development Studies, Tamale, Ghana. Abdulai, S., Zakariah, A., & Donkoh, S.A, (2018). Adoption of rice cultivation technologies and its effect on technical efficiency in Sagnarigu District of Ghana. Cogent Food & Agriculture, 4,1424296. Doi: https://doi.org/10.1080/23311932.2018.1424296 . Amanor‐Boadu, V. (2012). Rice Price Trends in Ghana [2006–2011]. Monitoring, Evaluation and Technical Support Services [METSS] United States Agency for International Development Research and Issue Paper Series No. (2). Accra, Ghana. Amsler, C., O’Donnell, C.J, & Schmidt, P, (2017). Stochastic meta-frontiers. Econometric Reviews, 36(6-9),1007-1020. Bam, R.K., Kumaga, F.K., Ofori, K., & Asiedu, E.A. (2010). Release of lowland varieties. Presentation to the Variety Release Committee. Crops Research Institute, Kumasi, Ghana. Battese, G.E. (1997). A note on the estimation of Cobb-Douglas production functions when some explanatory variables have zero values. Journal of Agricultural Economics, 48,250– 252. Battese, G.E, Rao, D.S.P, & O’Donnell, C.J. (2004). A metafrontier production function for estimation of technical efficiencies and technology potentials for firms operating under different technologies. Journal of Productivity Analysis, 21,91–103. Bravo-Ureta, BE, Greene, W. & Solís, D. (2012). Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project. Empirical Economics, 43,55-72. Bravo-Ureta, B.E. (2014). Stochastic frontiers, productivity effects and development projects. Economics and Business Letters, 3(1),51-58. Bruce, A. K. K., Donkoh, S. A., & Ayamga, M. (2014). Improved rice variety adoption and its effects on farmers’ output in Ghana. Journal of Development and Agricultural Economics, 6(1). Buri, M.M., Issaka, R.N., Wakatsuki, T., & Kawano, N. (2012). Improving the productivity of lowland soils for rice cultivation in Ghana: The role of the ‘sawah’ system’. Journal of Soil Science & Environmental Management, 3(3),56–62. Coalition for African Rice Development [CARD]. (2010). Mapping of Poverty Reduction Strategy Papers (PRSPs): Sector Strategies and Policies related to rice development in Ghana. Caliendo, M. & Kopeinig, S. (2008). Some practical guidance for the Implementation of propensity score matching. Journal of Economic surveys, 22(1),31-72. Cameron, C, & Trivedi, P. (2005). Micro-econometrics: Methods and Applications. New York: Cambridge University Press. Dehejia, R.H, & Wahba, S. (2002). Propensity score-matching methods for nonexperimental causal studies. Review of Economics & Statistics, 84(1),151-161. Diagne, A. (2006). Diffusion and adoption of NERICA rice varieties in Côte D’Ivoire. The Developing Economies, (XLIV-2),208–231. Diagne, A., & Demont, M. (2007). Taking a new look at empirical models of adoption: Average treatment effect estimation of adoption rate and its determinants. Agricultural Economics, 37, 201-210. Doss, C.R. & Morris, M.L, (2001). How does gender affect the adoption of agricultural innovations? The case of improved maize technology in Ghana. Agricultural Economics, 25,27-39. Evenson, R. (2001). Economic Impacts of Agricultural Research and Extension. In Gardner, B. and Rausser, G (Eds). Handbook of Agricultural Economics, Chapter 11. Faltermeier, L., & Abdulai, A. (2009). The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana. Agricultural Economics, 40,365-379. Greene, W. (2010). A stochastic frontier model with correction for sample selection. Journal of Productivity Analysis, 34,15-24. Gautam, M. (2000). Agricultural Extension: The Kenyan Experience, an Impact Evaluation. The World Bank: Washington, D.C. Jondrow, J., Lovell, C.A.K., Materov, I.S. & Schmidt, P. (1982). On the estimation of technical efficiency in the stochastic frontier production function model. Journal of Econometrics, 19(2/3),233–238. Kumbhakar, S, Tsionas, M & Sipilainen, T. (2009). Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming. Journal of Productivity Analysis, 31,151–162. Lee, W. (2008). Propensity score matching and variations on the balancing test. In: 3rd Conference on Policy Evaluation, 27– 28 October. ZEW, Mannheim, Germany. Leuven, E., & Sianesi, B. (2003). PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. Available at http://ideas.repec.org/c/boc/bocode/s432001.html [Last accessed, 30 November 2017]. Ministry of Food and Agriculture [MoFA]. (2016). Agriculture in Ghana: Facts and Figures 2015. Ministry of Food and Agriculture, Accra, Ghana. MoFA. (2019). Medium term expenditure framework for 2019-2022. Programme based budget estimates for 2019. Ministry of Food and Agriculture, Accra, Ghana. MoFA. (2021). Agriculture in Ghana: Facts and Figures 2020. Statistics, Research and Information Directorate. Ministry of Food and Agriculture, Accra, Ghana. MoFA, (2009). National Rice Development Strategy. Ministry of Food and Agriculture, Accra, Ghana. Ragasa, C., Dankyi, A., Acheampong, P., Wiredu A.N., Chapoto, A. Asamoah, M. & Tripp, R. (2013). Patterns of adoption of improved rice technologies in Ghana. Ghana Strategy Support Programme/IFPRI, Working Paper 35. Rosenbaum, P.R., & Rubin, D.B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. American Statistical Review, 39,33-38. Sauer, J., Frohberg, K. & Hockmann, H. (2006). Stochastic efficiency measurement: the curse of theoretical consistency. Journal of Applied Economics, 9,139–165. Smith, J. & Todd, P. 2005. Does matching overcome LaLonde’s critique of non-experimental estimators? Journal of Econometrics, 125(1-2),305-353. Tripp, R. and Mensah-Bonsu, A. (2013). Ghana’s commercial seed sector: New incentives or continued complacency? Ghana Strategy Support Programme/IFPRI Working Paper 32. Retrieved from: https://pdfs.semanticscholar.org/a4e2/62493522230afad7df46a5a9ddd2fca03988.pdf [Last accessed, March 6 2018]. Wooldridge, J.M. (2003). Econometric analysis of cross section and panel data. The MIT Press, Cambridge, Massachusetts.