USING RANDOMIZATION IN DEVELOPMENT ECONOMICS RESEARCH: A TOOLKIT
By Michael Kremer. 2008
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Susan Athey
- Guido W. Imbens
- Peng Ding
- Stefan Wager
- Alberto Abadie
- Kosuke Imai
- David J. McKenzie
- M. D. Cattaneo
Citations in the corpus
- The Econometrics of Randomized Experiments (2016, methodology): “See Duflo, Glennerster, and Kremer (2006) for a survey.”
- Beyond Good Intentions: Designing CSR Initiatives for Greater Social Impact (2020, background): “If program participants were assigned to programs randomly, then there would be no selection bias and impact evaluation would be more straightforward (Duflo et al., 2007). However, selection bias can occur either because the firm purposely invites targeted groups to participate or because beneficiar”
- Cash, food, or vouchers? Evidence from a randomized experiment in northern Ecuador (2014, background): “While with 132 tests, the probability that we will reject a true null hypothesis for at least one outcome is nearly 100% (Duflo et al., 2007), as a robustness we rerun all our specifications controlling for these baseline covariates.”
- Keeping the Public Purse: An Experiment in Windfalls, Taxes, and the Incentives to Restrain Government (2013, background): “…have a bigger effect in a more urban setting if access to infrastructure, public goods, and the media facilitate political action.34 Another way to think about external validity is to question how making minor variations to the treatment might affect results (Duflo, Glennerster, and Kremer 2006).”
- Evaluating the Impact of Innovation Incentives: Evidence from an Unexpected Shortage of Funds (2015, unknown): “As underscored by Duflo et al. (2007), because of exogenous events sometimes elements of randomization are introduced into programs not designed at the beginning as random schemes.”
- Inferring Welfare Maximizing Treatment Assignment Under Budget Constraints (2012, unknown): “[11] Duflo, Esther, Michael Kremer and Rachel Glennerster (2006).”
- Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project (2012, background): “There is growing evidence and adherence to the use of randomized experiments to undertake impact evaluation (Duflo et al. 2008).”