Here you will find coverages of the INSEAD's RCT Lab in the Media.
- Turn the Office Into a Lab, INSEAD Knowledge, 24 January, 2020
- Careem and INSEAD sign MOU for academic research, Zawya, 27 February 2019
- A Goldilocks Framework for Attracting Funding, INSEAD Knowledge, 16 July 2018
- Why Firms Should Conduct Randomized Controlled Trials, INSEAD Knowledge, 30 May 2018
- How to get more women to work in tech, INSEAD Knowledge, 27 March 2018
- ILO partners with INSEAD’S RCT lab and CEG to host a symposium on implementing effective policies that promote entrepreneurship for inclusive growth and decent jobs, INSEAD, December 2016
- Ad hoc promotions can’t buy customer loyalty, INSEAD Knowledge, 8 June 2016
- INSEAD RCT Lab set to strengthen productivity, growth and competitiveness of organizations in the Middle East, Zawya, 23 April 2015
- The cause and effect of better decision-making, INSEAD Knowledge, 22 April 2015
Organisations interested in research collaborations with the INSEAD's RCT Lab can find introductory information on randomised experiments on the links below:
- RCT Lab tools
- Markus Goldstein (2018): The history of randomized control trials: scurvy, poets and beer
- Ron Kohavi, Stefan Thomke (2017): The surprising power of online experiments, Harvard Business Review
- The Economist (2017): A randomised trial shows that the power of the press is real
- The Economist (2017): Psychology beats business training when it comes to entrepreneurship
- The Economist (2015): Measure for measure
- Spyros Zoumpoulis, Duncan Simester, Theos Evgeniou (2015): Run field experiments to make sense of your big data, Harvard Business Review
- Stefan Thomke (2020): Building a Culture of Experimentation, Harvard Business Review
- David Mckenzie (2020): Learning from how Tech Companies do Experiments: Lessons from The Power of Experiments: Decision-making in a Data Driven World, World Bank
- HBR guide to data analytics basics for managers ebook + tools
- Amy Gallo (2017): A Refresher on A/B testing, Harvard Business Review
- Amy Gallo (2016): A Refresher on randomized controlled experiments, Harvard Business Review
- Oliver Hauser, Michael Luca (2015): How to design (and analyze) a business experiment, Harvard Business Review
- Stefan Thomke (2020): Experimentation Works: The Surprising Power of Business Experiments, Harvard Business Review
For further information about the design and implementation of randomized field experiments, please see the following links. Some of the links on this page point to external websites. INSEAD is not responsible for the content of these external websites.
- Introduction (guides, handbooks, courses, and toolkits)
- Data, Economics, and Development Policy MicroMasters Program at MITx
- Research Resources at The Abdul Latif Jameel Poverty Action Lab (J-PAL)
- Introduction to Evaluations at The Abdul Latif Jameel Poverty Action Lab (J-PAL)
- Handbook of Field Experiments at The Abdul Latif Jameel Poverty Action Lab (J-PAL)
- Innovation Growth Lab (IGL) Experimentation toolkit
- Innovation Growth Lab (IGL) Guide to Randomized Control Trials
- Florence Kondylis, David Mckenzie (2020): A Curated List of Our Postings on Technical Topics – Your One-Stop Shop for Methodology. World Bank
- Suggested readings - Strategy and Innovation Field Experiments (AOM 2019)
- Executive Training: Evaluating Social Programs 2011 (MITOpenCourseware)
- Rachel Glennerster, Kudzai Takavarasha (2013): Running Randomized Evaluations: A Practical Guide. Princeton University Press
- Esther Duflo, Rachel Glennerster, Michael Kremer (2006): Using Randomization in Development Economics Research: A Toolkit. NBER Technical Working Paper No. 333.
- Paul J Gertler, Sebastian Martinez, Patrick Premand, Laura B. Rawlings, Christel M. J. Vermeersch (2011): Impact Evaluation in Practice.World Bank.
- Kevin Hempel, Nathan Fiala (2011): Measuring Sucess of Youth Livelihood Interventions: A Partical Guide to Monitoring and Evaluation. Global Partnership for Youth Employment.
- Howard White, David A. Raitzer (2017): Impact Evaluation of Development Interventions: A Practical Guide. Asian Development Bank
- Alan S. Gerber, Donald P. Green (2012): Field Experiments: Design, Analysis, and Interpretation. W. W. Norton & Company
- Delia Baldassarri, Maria Abascal (2017): Field Experiments Across the Social Sciences. Annual Review of Sociology 43:1, 41-73
- Kevin J. Boudreau, Karim R. Lakhani (2016): Innovation Experiments: Researching Technical Advance, Knowledge Production, and the Design of Supporting Institutions. Chapter in NBER book Innovation Policy and the Economy, Volume 16 (2016), Josh Lerner and Scott Stern, editors (p. 135 - 167)
- Causal inference
- Methodological considerations for implementation
- Sample size calculation
- Programs and tools
- Panel data
- Proportions and rare events
- Ex-post power calculation
- Metrics in online experiments
- Brett Gordon, Florian Zettelmeyer, Neha Bhargava, Dan Chapsky (2017): A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook (Working paper).
- Somit Gupta, Pavel Dmitriev, Garnet Vaz, Dong Woo Kim (2017): A Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled Experiments. KDD 2017 Applied Data Science Paper KDD’17, August 13–17, 2017, Halifax, NS, Canada.
- Randomization in social networks
- RCTs and machine learning
- Heterogeneous treatment effects
- Susan Athey, Guido Imbens (2006): Identification and Inference in Nonlinear Difference‐in‐Differences Models. Econometrica.
- Susan Athey, Guido Imbens (2015): Machine Learning Methods for Estimating Heterogeneous Causal Effects. Semantic Scholar.
- Stefan Wager, Susan Athey (2015): Estimation and Inference of Heterogeneous Treatment Effects using Random Forests. Journal of the American Statistical Association.
- The Stata Lasso Page: Presentation slides from 2018 London Stata Conference.
- Registration and pre-analysis plans (PAPs)
- Administrative datasets
- Research centres & communities
- The Abdul Latif Jameel Poverty Action Lab (J-PAL)
- Innovations for Poverty Action (IPA)
- ILO Youth Employment Programme (YEP)
- Harvard Evidence for Policy Design (EPoD)
- Innovation Growth Lab (IGL)
- 3ie Impact
- XLab at MIT Sloan
- HBX LIVE + O-LAB
- International Growth Centre (IGC)
- [email protected]: Decision making in digital environments
- SIDAT - INSEAD'S Pop Up Lab
- INSEAD Case studies
- Other teaching material
INSEAD Faculty and PhD students
Access to these documents is restricted to INSEAD Faculty, Staff, and PhD Students on campus.
Please click here and log in with your INSEAD credentials.
If you have any questions related to the Lab, we are here to help you.