
27th Dynamic Econometrics Conference
StataCorp Keynote Speaker #1
Di Liu, Principal Econometrician
Presentation title: Conditional average treatment-effects estimation using Stata
Abstract:
Treatment effects estimate the causal effects of a treatment on an outcome. The effect may be heterogeneous. Average treatment effects conditional on a set of variables (CATEs) help us understand heterogeneous treatment effects. By construction, they are useful to evaluate how different treatment-assignment policies affect different groups in the population. In this talk, we will show how to use Stata 19's new command cate to answer key questions.




StataCorp Keynote Speaker #2
Alex Asher, Senior Biostatistician and Software Developer
Presentation title: Power and sample size by simulation
Abstract:
Stata's built-in power command accepts user-defined programs to calculate power, sample size, or effect size. Power can be estimated by simulation, even in complex scenarios where there is no closed-form expression. To estimate sample size given power, multiple simulations are needed.
This talk describes how to use simulation to estimate power and sample size using the power command.
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