Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania
暂无分享,去创建一个
Takuji W. Tsusaka | Yuko Nakano | Valerien O. Pede | Y. Nakano | V. Pede | Takeshi Aida | Takeshi Aida | T. Tsusaka
[1] D. Rubin. BIAS REDUCTION USING MAHALANOBIS METRIC MATCHING , 1978 .
[2] Jock R. Anderson,et al. Chapter 44 Agricultural Extension , 2007 .
[3] Bernard Fortin,et al. Identification of Peer Effects through Social Networks , 2007, SSRN Electronic Journal.
[4] Muhammad Sharif,et al. On-farm impacts of zero tillage wheat in South Asia's rice–wheat systems , 2008 .
[5] P. Krishnan,et al. Neighbors and Extension Agents in Ethiopia: Who Matters More for Technology Adoption? , 2014 .
[6] Justin L. Tobias,et al. Nonparametric Density and Regression Estimation , 2001 .
[7] Rokhaya Dieye,et al. Accounting for Peer Effects in Treatment Response , 2014, SSRN Electronic Journal.
[8] Luc Anselin,et al. Thirty years of spatial econometrics , 2010 .
[9] John Bound,et al. Measurement error in survey data , 2001 .
[10] Lung-fei Lee,et al. Best Spatial Two‐Stage Least Squares Estimators for a Spatial Autoregressive Model with Autoregressive Disturbances , 2003 .
[11] Christopher B. Barrett,et al. Measuring Social Networks' Effects on Agricultural Technology Adoption , 2013 .
[12] M. Rosenzweig,et al. Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture , 1995, Journal of Political Economy.
[13] D. Rubin,et al. The central role of the propensity score in observational studies for causal effects , 1983 .
[14] Imran Rasul,et al. Social Networks and Technology Adoption in Northern Mozambique , 2002 .
[15] Weihua Guan,et al. From the Help Desk: Bootstrapped Standard Errors , 2003 .
[16] J. LeSage. Introduction to spatial econometrics , 2009 .
[17] Christopher B. Barrett,et al. The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar , 2003 .
[18] David M. Drukker,et al. Maximum Likelihood and Generalized Spatial Two-Stage Least-Squares Estimators for a Spatial-Autoregressive Model with Spatial-Autoregressive Disturbances , 2013 .
[19] K. Otsuka,et al. The changes in the effects of temperature and rainfall on cereal crop yields in Sub-Saharan Africa: a country level panel data study, 1989 to 2004 , 2013 .
[20] Jeffrey M. Woodbridge. Econometric Analysis of Cross Section and Panel Data , 2002 .
[21] Patrick S. Ward,et al. Capturing Social Network Effects in Technology Adoption: The Spatial Diffusion of Hybrid Rice in Bangladesh , 2015 .
[22] T. DiPrete,et al. 7. Assessing Bias in the Estimation of Causal Effects: Rosenbaum Bounds on Matching Estimators and Instrumental Variables Estimation with Imperfect Instruments , 2004 .
[23] Kristin Davis,et al. Impact of Farmer Field Schools on Agricultural Productivity and Poverty in East Africa , 2012 .
[24] Sascha O. Becker,et al. Sensitivity Analysis for Average Treatment Effects , 2007 .
[25] Keijiro Otsuka,et al. Technology Policies for a Green Revolution and Agricultural Transformation in Africa , 2010 .
[26] M. Lechner. The Estimation of Causal Effects by Difference-in-Difference Methods , 2011 .
[27] Keijiro Otsuka,et al. On the Possibility of Rice Green Revolution in Irrigated and Rainfed Areas in Tanzania: An Assessment of Management Training and Credit Programs , 2015 .
[28] Wim P. M. Vijverberg,et al. Probit in a Spatial Context: A Monte Carlo Analysis , 2004 .
[29] D. Larson,et al. An African Green Revolution: Finding Ways to Boost Productivity on Small Farms , 2013 .
[30] P. Lunn. The sports and exercise life-course: a survival analysis of recall data from Ireland. , 2010, Social science & medicine.
[31] David Zilberman,et al. Adoption of Agricultural Innovations in Developing Countries: A Survey , 1985, Economic Development and Cultural Change.
[32] M. Maertens,et al. Understanding the Process of Agricultural Technology Adoption: Mineral Fertilizer in Eastern DR Congo , 2014 .
[33] Harry H. Kelejian,et al. A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model , 1999 .
[34] Luc Anselin,et al. Lagrange Multiplier Test Diagnostics for Spatial Dependence and Spatial Heterogeneity , 2010 .
[35] Timothy G. Conley,et al. Learning About a New Technology: Pineapple in Ghana , 2010 .
[36] Kaivan Munshi. Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution , 2004 .
[37] Petra E. Todd,et al. Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme , 1997 .
[38] C. Manski. Identification of Endogenous Social Effects: The Reflection Problem , 1993 .
[39] S. Dex,et al. The Reliability of Recall Data: a Literature Review , 1995 .
[40] K. Kalirajan,et al. An Exploration of a Green Revolution in Sub-Saharan Africa , 2005 .
[41] D. Rubin. Bias Reduction Using Mahalanobis-Metric Matching , 1980 .
[42] C. Gardebroek,et al. The effect of different information sources on technology adoption and modification decisions , 2007 .
[43] Eric Tollens,et al. Rising trends and variability of rice prices: Threats and opportunities for sub-Saharan Africa , 2010 .
[44] Marco Caliendo,et al. Some Practical Guidance for the Implementation of Propensity Score Matching , 2005, SSRN Electronic Journal.
[45] Bruce D. Meyer. Natural and Quasi- Experiments in Economics , 1994 .
[46] A. Case. Neighborhood influence and technological change , 1992 .
[47] Y. Todo,et al. Impact of Farmer Field Schools on Agricultural Income and Skills , 2013 .
[48] A. Quisumbing,et al. Testing and adjusting for attrition in Household Panel Data , 2010 .
[49] Robert Tripp,et al. What should we expect from farmer field schools? A Sri Lanka case study , 2005 .
[50] Tsusaka Takuji. Sorghum in Semi-arid Subsistence Agriculture: The Case of Central Mozambique , 2016 .
[51] Daniel Müller,et al. Land use dynamics in the central highlands of Vietnam: a spatial model combining village survey data with satellite imagery interpretation , 2002 .
[52] K. Otsuka. Efficiency and Equity Effects of Land Markets , 2007 .
[53] C. Barrett,et al. What Do We Learn About Social Networks When We Only Sample Individuals? Not Much , 2008 .
[54] G. Imbens,et al. Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score , 2002 .
[55] K. Otsuka,et al. The Possibility of a Green Revolution in Sub-Saharan Africa: Evidence from Kenya , 2005 .
[56] T. Yamano,et al. Expert Elicitation for Assessing Agricultural Technology Adoption: The Case of Improved Rice Varieties in South Asian Countries , 2015, Asian Journal of Agriculture and Development.
[57] H. Kelejian,et al. A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances , 1998 .
[58] Aman Ullah,et al. Nonparametric Econometrics: Introduction , 1999 .
[59] E. Duflo,et al. How Much Should We Trust Differences-in-Differences Estimates? , 2001 .
[60] K. Kajisa,et al. Neighborhood effects and social behavior: The case of irrigated and rainfed farmers in Bohol, the Philippines , 2015 .
[61] A. Diagne,et al. The Possibility of a Rice Green Revolution in Large-Scale Irrigation Schemes in Sub-Saharan Africa , 2011 .
[62] Jaime Quizon,et al. The Acquisition and Diffusion of Knowledge: The Case of Pest Management Training in Farmer Field Schools, Indonesia , 2004 .
[63] P. Keith,et al. Congruence Between Panel and Recall Data in Longitudinal Research , 1978 .
[64] G. Imbens,et al. Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score , 2000 .