|Advanced data visualizations with Stata part V: Hierarchical data
This presentation will focus on visualizing complex hierarchical
relational datasets through a suite of new packages, including
sankey, alluvial, treemap, circlepack,
circlebar, and sunburst.
Austrian Institute of Economic Research (WIFO), International Institute for Applied Systems Analysis (IIASA), and Vienna University of Economics and Business (WI)
|Influence analysis with panel data using Stata
The presence of anomalous observations in a dataset can
severely affect least-squares estimates that are, by
construction, sensitive to extreme cases.
This presentation formalizes statistical measures to quantify the degree of leverage and outlyingness of units in a panel-data framework and outlines the two community-contributed commands used to conduct the proposed influence analysis.
University of Essex
|Introduction to difference in differences in Stata 17
Stata 17 introduced two commands to fit
difference-in-differences (DID) and
difference-in-difference-in-differences (DDD) models.
This presentation will briefly introduce the concepts and jargon of DID and DDD models and then show how to fit the models by using the new commands.
|Rolling estimation methods for staggered difference in differences
This presentation will discuss relatively efficient regression,
propensity-score, and doubly robust estimation methods in
settings with staggered policy interventions. The estimators and
standard errors can be obtained using existing Stata commands.
Jeffrey M. Wooldridge
Michigan State University
Stata authors' tips with Colin Cameron (UC Davis), Demetris Christodoulou (University of Sydney) and Irma Mooi-Reci (University of Melbourne)
|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.
|Building connected dashboards using Stata
Dashboards have become essential tools for business managers
to understand their performance, the issues they face, and the
risks just around the corner.
In this presentation, we will show how Stata can create a dashboard and make it accessible to people in a company or an organization. We use tools already available in Stata to extract data from an organizational database, analyze the data in Stata, and make the analyzed information available in an interactive dashboard.
Survey Design and Analysis Services
Survey Design and Analysis Services
|Stata coding practice in economics: A survey and recommendations
This presentation reviews the style of scripts or
code used for data analysis with Stata in applied economics
research and provides recommendations for the creation of
University of Melbourne
|How plots helped solve the mystery of the interrupted time-series aggregation bias
Interrupted time-series (ITS) designs are often used to evaluate
the impact of public health interventions targeted at
This presentation argues that, when aggregating ITS observations over time, correction to the level change estimate may be required to avoid aggregation bias; it also argues that plots are effective methods for identifying, understanding, and providing potential solutions for unexpected results in numerical simulation studies.
Cochrane Australia and Monash University
|Plot suite: Fast graphing commands for very large datasets
This presentation will showcase the functionality of the
heavily updated plot suite of graphing commands.
The suite excels in visualizing very large datasets, enabling users to produce a variety of highly customizable plots in a fraction of the time required by Stata's native graphing commands.
Queensland University of Technology
John de New
The University of Melbourne
Australian National University