Senior Economist, Development Research Group, World Bank
JED FRIEDMAN is a senior economist in the Poverty and Inequality Unit of the Development Research Group. His research interests include the measurement of poverty dynamics and the interactions between poverty and health. Jed holds a B.A. in Philosophy from Stanford University and a Ph.D. in Economics from the University of Michigan. Before joining the World Bank in 2003 as a Young Professional, Jed worked for one and half years at the RAND Corporation. Till date, he has published over 20 peer-reviewed articles and is currently the principal investigator for impact evaluations on: the effectiveness of malaria control programs in India, Nigeria, and Zambia; national health financing reforms in Kyrgyzstan, Zambia, and Zimbabwe; and conditional cash transfers in the Philippines.
Blogging on: Development Impact
- Will that successful intervention over there get results over here? We can never answer with full certainty, but a few steps may help
- Challenges in counting the world’s hungry
- The often (unspoken) assumptions behind the difference-in-difference estimator in practice
- Policy learning with impact evaluation and the “science of delivery”
- Measuring the rate at which we discount the future: a comparison of two new field-based approaches
- Behind low rates of participation in micro-insurance: a misunderstanding of the insurance concept?
- Tools of the trade: recent tests of matching estimators through the evaluation of job-training programs
- Do financial incentives undermine the motivation of public sector workers? Maybe, but where is the evidence from the field?
- Using spatial variation in program performance to identify causal impact
- Learning from cross-disciplinary impact evaluation: the Family Rewards CCT program in New York City
- Caution when applying impact evaluation lessons across contexts: the case of financial incentives for health workers
- Q&A with Arun Agrawal, Editor of World Development Part II
- Q&A with Arun Agrawal, Editor of World Development Part I
- Tools of the trade: when to use those sample weights
- Trying to measure what workers actually do: the task approach to job content
- Thinking about the placebo effect as a “meaning response” and the implication for policy evaluation
- Incentives in the public sector: Some lessons from recent failures
- Feigning illness to improve care: Recent lessons from standardized patients in rural
- Sorting through heterogeneity of impact to enhance policy learning
- Weighting for external validity, then waiting for election results
- The long-run impact of locust swarms
- Sifting through data to detect deliberate misreporting in pay-for-performance schemes
- Tools of the trade: The covariate balanced propensity score
- Being indirect sometimes gets closer to the truth: New work on indirect elicitation surveys
- Some basic reflections on strong IE proposal writing
Blogging on: Development Impact
- regarding the study above
- re: Great book that covers this topic
- Stuart, you rasie a very important issue
- Stuart, agreed on the higher bar for deception...
- Re: "regression to the mean"
- Hi Ryan, yes the search function is cumbersome,
- Hi Lant, thanks so much for
- Hi Jessica, thanks very much
- Hi Dan, thanks for the question! In this case...
- Hi Bob, thanks very much for
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- Hello Jean and Rob, thanks
- Hello Aake, thanks for the insightful question
- Andrew, thanks so much for the thoughts...
- Actually many IEs are still clustered at a more aggregate level-