Pedro is a Professor of Economics at University College London and an economist in the IFS' Centre for Microdata Methods and Practice (Cemmap). His research interests include development economics, labour economics, the economics of education and microeconometrics. In the past he has examined issues such as the returns to education, human capital policy, and labor regulation in developing countries. He has studied poverty and education programs in several countries in Latin America, Africa and Eastern Europe.
Optimal data collection for randomized control trials
| Working Paper
In a randomized control trial, the precision of an average treatment effect estimator and the power of the corresponding t-test can be improved either by collecting data on additional individuals, or by collecting additional covariates that predict the outcome variable. We propose the use of pre-experimental data such as other similar studies, a census, or a household survey, to inform the choice of both the sample size and the covariates to be collected.