1 item has been added to your cart.
The sixth Colombian Stata Conference will take place virtually on 9–11 June 2026.
In this edition of the conference, the focus will be on two disciplines that share a common challenge: transforming complex data into useful, rigorous, and applicable knowledge. The social sciences and health sciences converge in a space designed to explore advanced methodologies, share research experiences, and discover the latest software tools. Join us to discover how Stata's tools and features can take your data analysis to the next level!
All times are in COT (UTC -5)
What's new and more in Stata 19 |
|
| 3:00–4:00 | Bootstrap resampling as weighted data and Bayesian bootstrap
Abstract:
Stata 19 introduced weights to the bootstrap prefix, allowing the bootstrap sample to be viewed as weighted versions of the original dataset. The corresponding weights can be generated using the rwgen bsample command, thereby facilitating reproducibility across different tools. I will review the fundamentals of the classical bootstrap and its generalization to nonbinary weights—specifically, nonnegative values that sum to n—a core concept underlying both the survey bootstrap and the Bayesian bootstrap. The latter is implemented in rwgen bootstrap, enabling its execution via bootstrap, iweights(). I will begin by reviewing the classical bootstrap and subsequently explore its generalization as well as the implementation of the Bayesian bootstrap using these commands.
Isabel Cañete
StataCorp
|
| 4:00–5:00 | Heterogeneous DID when units switch in and out of treatment
Abstract:
In this talk, I will introduce the new xtswitchdid command, which provides event-study treatment effects for panel data when subjects are allowed to switch in and out of treatment. This is an implementation of the estimator proposed in de Chaisemartin and D'Haultfoeuille (2024). I will also discuss how xtswithchdid fits into the DID estimators that have been implemented in the past couple of Stata releases and how it fits the evolution of our understanding of DID.
Enrique Pinzón
StataCorp
|
| 5:00–6:00 | 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.
|
Health sciences and applications |
|
| 3:00–4:00 | Stata as a tool for epidemiological surveillance
Abstract:
For this year, considering that in previous years some basic concepts of epidemiology have been reviewed and some examples have been shown, I present the commands required in Stata to perform the following:
Mario Martínez
Universidad Nacional Autónoma de México (UNAM)
|
| 4:00–5:00 | On the differences in conditional and unconditional quantile differences: Identification, weighting, and estimation
Abstract:
I studied quantile differences in differences (DID) in panel-data settings and analyzed two-way fixed-effects (TWFE) implementations based on quantile regression and recentered influence functions (RIFs). While TWFE identifies the desired quantile DID contrast in the canonical 2×2 design, it produces density-weighted mixtures with multiple posttreatment periods and, under staggered adoption, combines time-cohort effects with potentially negative weights, undermining causal interpretation. Motivated by these results, I propose clean quantile DID estimators for staggered adoption, based on valid time-cohort comparisons and transparent convex aggregation. Simulations and applications show that the proposed estimators eliminate the large distortions that can arise from TWFE quantile regressions under heterogeneous effects and staggered temporality.
Camilo Arias
Universidad de La Sabana
|
Social sciences and applications |
|
| 3:00–4:00 | Austerity and sexual violence: Evidence for England and Wales
Abstract:
The aim of this presentation is to analyze the relationship between welfare cuts associated with austerity policies and sexual violence in England and Wales between 2006 and 2019. The data used are derived from administrative records of public spending and official crime statistics. Using difference-in-differences methods and event studies implemented in Stata, I exploit the temporal and geographical variation in exposure to welfare reforms.
The results show that greater exposure to the cuts is associated with an increase in reports of sexual violence, with effects beginning to appear approximately two years after implementation and increasing over time. The effects are higher outside London (16.2% versus 9.5%) and in areas with higher levels of deprivation. Analysis of victimization data does not show an increase in the incidence of violence, suggesting that the results reflect changes in victims' help-seeking behavior rather than an actual increase in violence. In contexts of lower social protection, victims more frequently turn to the police as their primary support mechanism. In conclusion, the results demonstrate the importance of considering gender effects and territorial inequalities in the design of austerity policies and welfare reforms.
María Camila Jiménez
Gran Sasso Science Institute
|
| 4:00–5:00 | Estimation of discrete choice experiments in Stata: Evidence on tobacco packaging and informal markets in Colombia
Abstract:
This presentation discusses the implementation and estimation of a discrete choice experiment (DCE) applied to the analysis of tobacco control policies in Colombia. Based on the article, the experimental design, the construction of attributes and levels, and the econometric estimation in Stata using conditional logit models and latent class models will be explained. Emphasis will be placed on the interpretation of coefficients, the calculation of willingness to pay (WTP), and the analysis of heterogeneity in preferences. The empirical application evaluates the impact of plain packaging, health warnings, and the presence of illicit markets on consumption decisions, providing a practical case for researchers interested in stated preference methods in applied economics and health economics.
Paul Rodríguez
Universidad del Rosario
|
The conference is free, but you must register to attend.
Visit the official conference page for more information.
The logistics organizer for the 2026 Colombian Stata Conference is Software Shop, the official distributor of Stata in Argentina, Bolivia, Chile, Colombia, Costa Rica, Ecuador, Mexico, Peru, and Venezuela.
View the proceedings of previous Stata Conferences and Users Group meetings.
