Template-Type: ReDIF-Paper 1.0
Title: Introduction to Bayesian Statistics using Stata
Abstract: Researchers' interest in the use of Bayesian regression analysis has increased considerably in
recent years.
One of the reasons for this increased interest is that a wide variety of models can be accommodated
in this alternative regression approach. For example, a variety of multilevel, multiequation, ad hoc
Bayesian models can be fit by combining prior functions and likelihood functions that are already
available in Stata.
In this presentation, I will provide an intuitive introduction to Bayesian analysis concepts and
demonstrate how to fit Bayesian mo
Author-Name: Isabel Cañette
Author-Workplace-Name: StataCorp
Creation-Date: 20220906
File-URL: http://repec.org/csug2023/Colombia22_Canette.pdf
File-Format: application/pdf
File-Function: presentation materials
Handle: RePEc:boc:colo22:01

Template-Type: ReDIF-Paper 1.0
Title: Introduction to lasso using Stata
Abstract: The lasso command package is available as of Stata 16 and has enhanced features in Stata
17.
You can use lasso to perform model selection and prediction for continuous, binary, and count
outcomes, plus use state-of-the-art methods to make inferences on the variables of interest, while
lasso selects the control variables.
This presentation provides an introduction to lasso using Stata. In lasso for prediction, some
conceptual aspects of the methods will be addressed. An example of continuous variable prediction
comparing lasso, elastic net, square-root lasso, and ordinary least squares (OLS), among other
things, will be presented, showing how to use the options to select the value of the lasso penalty
parameter. In lasso for inference, some of the theory will be covered. Likewise, it will provide an
example for a linear model using the double-selection, partialing-out, and cross-fit partialing-out
lasso methods (also known as double machine learning), and finally, it will show how to customize
individual lassos and how to use some control selection techniques.
Author-Name: Miguel Dorta
Author-Workplace-Name: StataCorp
Creation-Date: 20220906
File-URL: http://repec.org/csug2023/Colombia22_Dorta.pdf
File-Format: application/pdf
File-Function: presentation materials
Handle: RePEc:boc:colo22:02

Template-Type: ReDIF-Paper 1.0
Title: Stata as support for epidemiological surveillance
Abstract: During the presentation, examples of the use of Stata will be analyzed, using the COVID-19 data
published by the government of Mexico,
to build epidemic curves, weekly endemic channels, and population pyramids of morbidity, mortality,
and lethality. In addition, the COVID-19 data from Mexico and some data from other studies will be
used to display and analyze comparisons of means.
Author-Name: Mario Martinez
Author-Workplace-Name: UNAM
Creation-Date: 20220906
File-URL: http://repec.org/csug2023/Colombia22_Martinez.pdf
File-Format: application/pdf
File-Function: presentation materials
Handle: RePEc:boc:colo22:03

Template-Type: ReDIF-Paper 1.0
Title: Synthetic data methodology for machine learning models
Author-Name: Franco A. Mansilla
Creation-Date: 20220906
File-URL: http://repec.org/csug2023/Colombia22_Mansilla.pdf
File-Format: application/pdf
File-Function: presentation materials
Handle: RePEc:boc:colo22:04

Template-Type: ReDIF-Paper 1.0
Title: Visualization, identification, and estimation in linear panel event-study design
Abstract: Linear panel models and the "event-study" plots that usually accompany them are popular tools
for studying the effects of economic policies.
In this presentation, I discuss the estimation of panel event-study models using the xtevent package.
The construction of event-study graphs, the economic implications of different possible identification
assumptions, and the use of different econometric estimators are also discussed.
Author-Name: Jorge Eduardo Pérez
Author-Workplace-Name: Bank of Mexico
Creation-Date: 20220906
File-URL: http://repec.org/csug2023/Colombia22_Perez.pdf
File-Format: application/pdf
File-Function: presentation materials
Handle: RePEc:boc:colo22:05

Template-Type: ReDIF-Paper 1.0
Title: Differences in unemployment rates by gender: A regional perspective
Abstract:  Colombia has experienced advances in labor dynamics, allowing an improvement in the
situation of women in the labor market.
However, compared with their peers, they continue to present disadvantageous results that worsen
according to the city. Indeed, they continue to register lower employment rates, lower wages, and
higher unemployment rates. Evaluating these differences is relevant because it allows proposing
economic policies to solve the problems faced by women in the labor market. This presentation
offers a theoretical-practical approach on the application of probit models to estimate
unemployment functions and ATF models with Weibull or lognormal distribution to estimate
unemployment duration equations. The estimations will be done with the support of Stata, one of the
most complete, reliable, and easy to apply statistical software in the field of research.
Author-Name: María Camila Jiménez
Author-Workplace-Name: Aix–Marseille University
Creation-Date: 20220906
File-URL: http://repec.org/csug2023/Colombia22_Jiminez.pdf
File-Format: application/pdf
File-Function: presentation materials
Handle: RePEc:boc:colo22:06