Handbook on Impact Evaluation: Quantitative Methods and Practices
By Shahidur R. Khandker, Gayatri Koolwal, Hussain Samad. 2009
1,359 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/6e9e22b586807ee89cfce4139b660233105a92c6
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Citations in the corpus
- Does contract farming improve smallholder income? The case of avocado farmers in Kenya (2016, background): “…are generally constructed from programme design (e.g. if the programme of interest was randomised, or from exogenous rules in determining who was eligible for the programme), as well as from other exogenous shocks that are not correlated with the outcomes of interest (Khandker et al., 2010).”
- Impact of metal silos on households’ maize storage, storage losses and food security: An application of a propensity score matching (2013, background): “The Heckman correction (Heckman et al., 1997) and the instrumental variable (IV) approaches (Khandker et al., 2010) are also alternative ways to control for selection bias stemming from unobserved heterogeneity.”
- Are middlemen facilitators or barriers to improve smallholders' welfare in rural economies? Empirical evidence from Ethiopia (2016, methodology): “Although other methods are available to estimate ATT, we chose the radius matching (RM) estimator because it uses not only the nearest neighbor within each caliper but also all of the comparison members within the caliper (Dehejia andWahba, 2002) and allows for use of extra (fewer) units when good m”
- Does cooperative membership increase and accelerate agricultural technology adoption? Empirical evidence from Zambia (2020, methodology): “Following Villa (2016) and Khandker et al. (2009a, 2009b), let =t 0 denote the baseline period and =t 1 the follow-up period.”
- Systematic Review. What is the evidence of the impact of microfinance on the well-being of poor people? (2011, methodology): “Pipeline designs have become fashionable and are widely used in IEs (see Coleman 1999; Khandker, Koolwal, and Samad 2010), primarily for two reasons - they provide a convincing control group, and it is possible for them to be combined with randomised allocation; however, these are not universal…”
- Does the Use of Mobile Phones by Smallholder Maize Farmers Affect Productivity in Ghana? (2018, background): “Also, Khandker, Koolwal, and Samad (2010) and Ogutu et al. (2014) note that the double difference method has a limiting assumption of time-invariant selection bias which is difficult to verify.”
- Does Non-farm Income Affect Food Security? Evidence from India (2019, background): “Here, food security outcomes and income from non-farm sources could be influenced by other household characteristics which is not captured in the survey data (40).”
- Beyond Good Intentions: Designing CSR Initiatives for Greater Social Impact (2020, background): “The selection bias problem can be illustrated with a simple model adapted to the CSR context from Duflo et al. (2007) and Khandker et al. (2010).”
- From protection to production: productive impacts of the Malawi Social Cash Transfer scheme (2012, background): “Some papers indicate that this loss of observations prevents the average treatment effect from being accurately estimated (Diaz and Handa 2006, Heinrich et al. 2010, Khandker et al. 2010, Gertler et al. 2011).”
- Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project (2012, background): “Calls for additional funding to meet the Millennium Development Goals need to be supported by convincing analysis showing that current spending is indeed contributing toward the attainment of such goals (Khandker et al. 2010; World Bank 2006; Pearson 2009; Radelet 2004).”
- Impact assessment of Integrated Pest Management (IPM) strategy for suppression of mango-infesting fruit flies in Kenya (2016, methodology): “The DiD estimator is obtained by comparing the change in outcome measures before and after the project for a treatment group to the change in outcome measures over the same period for a control group (Abadie, 2005; Imbens and Wooldridge, 2008; Khandker et al., 2010).”