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All times are CEST (UTC +2)
| 9:00–9:10 | Welcome |
| 9:10–9:40 | Earning while learning: How to run batched bandit experiments
Davud Rosam-Afschar
University of Mannheim
|
| 9:40–10:10 | Be bold: Use the open-source features of Stata to customize commands to suit your needs
Amy Grant and David White
SDAS
|
| 10:10–10:20 | Break |
| 10:20–11:05 | Ensuring reproducibility in Stata: Insights from the World Bank's Reproducible Research Repository
Abstract:
The challenge of reproducing economics research has gained
increased attention with the growing advocacy for open science
in the field. Economics journals and research institutions are
quickly adopting reproducibility guidelines, requiring authors
to provide code and data for reproducing results and ensuring
the trustworthiness of their findings.
This presentation delves into the intricacies of achieving reproducibility in Stata works. Since the launch of the World Bank's Reproducible Research Repository, the team has conducted reproducibility verifications and curated reproducibility packages for almost 200 working papers and reports from diverse research teams in the organization, building up a valuable and novel experience into addressing common issues that break reproducibility in Stata analyses. I will present an overview of the workflows and tools the team has developed in response to identified reproducibility challenges in typical Stata works, covering key topics such as controlling the versions of external dependencies and appropriately handling randomness in Stata code. The presentation will include practical strategies for enhancing the transparency and reliability of Stata-based research.
Luis Eduardo
World Bank
|
| 11:05–11:35 | Visualizing and diagnosing spillover within randomized controlled trials using diagnostic test assessment methods in Stata
James Hurley
The University of Melbourne
|
| 11:35–12:20 | JWDID
Abstract:
This presentation explores perspectives on Jeff Wooldridge's DID
approach, incorporating his latest flex method. Additionally,
this presentation includes modifications developed for gravity
models.
Fernando Rios-Avila
Levy Economics Institute
|
| 12:20–1:20 | Lunch |
| 1:20–2:20 | Causal mediation analysis using Stata
Abstract:
Causal inference studies are designed to identify and quantify
the effect of a treatment (T) on an outcome of interest (Y).
Sometimes, the treatment has an effect on a third variable,
called a mediating variable (M), which also influences the
outcome. So the treatment may have both a direct effect on the
outcome (T -> Y) and an indirect effect on the outcome through
its influence on the mediating variable (T -> M -> Y). The goal
of causal mediation analysis is to identify and quantify these
direct and indirect effects. This talk will introduce the
concepts and jargon of causal mediation analysis, demonstrate
how to analyze these kinds of data using Stata's mediate
command, and show how to interpret and visualize these kinds of
relationships.
Chuck Huber
StataCorp
|
| 2:20–2:50 | Sharing Stata knowledge online: Existing examples and guidance on how to do it more effectively
John Kane
New York University
|
| 2:50–3:00 | Break |
| 3:00–3:30 | Past sovereign defaults as a predictor of future defaults
Keng Siong
DBS Bank Singapore
|
| 3:30–4:15 | Open panel discussion with Stata developers
Contribute to the Stata community by sharing your feedback with StataCorp's developers. From feature improvements to bug fixes and new ways to analyze data, we want to hear how Stata can be made better for our users.
|
| 4:15–4:45 | Single precision storage default: Is it time to bid farewell?
Jan Kabatek
The University of Melbourne
|
| 4:45 | Close |
The conference is free, but you must register to attend.
Visit the official conference page for more information.
The logistics organizer for the 2025 Oceania Stata Conference is Survey Design and Analysis Services (SDAS), the distributor of Stata in Australia, Indonesia, and New Zealand.
View the proceedings of previous Stata Conferences and international meetings.
