David McKenzie
David McKenzie is a Lead Economist in the Development Research Group, Finance and Private Sector Development Unit. He received his B.Com.(Hons)/B.A. from the University of Auckland, New Zealand and his Ph.D. in Economics from Yale University. Prior to joining the World Bank, he spent four years as an assistant professor of Economics at Stanford University. His main research is on migration, microenterprises, and methodology for use with developing country data. He has published over 100 articles in journals such as Science, the Quarterly Journal of Economics, Review of Economics and Statistics, Journal of the European Economic Association, American Economic Journal: Applied Micro, Journal of Econometrics, and all leading development journals. He has worked on impact evaluations in a wide range of countries, covering microenterprise programs, improving management, facilitating migration, active labor market policy, and several other topics.
- Weekly links April 20: Swifter justice, swifter coding, better ethics, cash transfers, and more
- Weekly links April 13: militant randomistas, show them the germs, should your next paper not be a paper? and more...
- Weekly links April 7: registration becomes compulsory, lessons from reality tv and the Black Panther, positively deviant schools, and more...
- Using a PhD in development economics outside of academia: interviews with Alan de Brauw and Bailey Klinger
- Weekly links March 23: recall revisited, Imbens critiques the Cartwright-Deaton RCT critiques, a new source for learning causal inference, and more...
- The State of Development Journals 2018: Quality, Acceptance Rates, Review Times, and Representation
- Weekly links March 16: write more productively or fake it, null power, great figures, and more...
- Having an impact as a development economist outside of a research university: Interview with Alix Zwane
- Weekly links March 9: export super-stars, poor stats on poor women, psychosocial interventions for refugees, psychologists up their game, and more...
- How can machine learning and artificial intelligence be used in development interventions and impact evaluations?
- Weekly links March 2: quality onions, don’t just try to prove something you already know, jobs cost a lot to create, and more...
- Weekly links February 23: tell better stories, hot days = lower profits, women need more customers, and more...
- The Toyota way or Entropy? What did we find when we went back 8-9 years after improving management in Indian factories?
- Weekly links Feb 16: when scale-ups don’t pan out the way you hoped, syllabi galore, do you suffer from this mystery illness? and more...
- Weekly links Feb 9: tracking Ghanaian youth as they age, envying Danish data, coding better, communicating less badly, and more....
- Beyond the trite “I was there” photo: Using photos and videos to communicate your research
- Weekly links Feb 2: hit the beach, develop a country! Female economists, go visit your alma maters! A Stata command round-up, and more...
- Weekly links January 26: learn to machine learn, that wellness program might only help with your multiple testing correction, working beats saving, and more...
- Can predicting successful entrepreneurship go beyond “choose smart guys in their 30s”? Comparing machine learning and expert judge predictions
- Weekly links Jan 19: soft skills and maybe a robot can’t take your job after all, the Starbucks indicator of Indian middle class growth, high fees are deterring citizenship, and more...
- Weekly links Jan 12: Big Thinkers brought down to size, can you beat the World Bank at predicting poverty? Chinese minimum wage rises all get spent, three job openings, and more…
- Six Questions with Mark Rosenzweig
- Statistical Power and the Funnel of Attribution
- Weekly links Jan 5: papers you should have read last year, how to measure early childhood development 147 ways, move people to where the jobs are, and more…
- 12 of our favorite development papers of the year
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