New FAQs about customizable tables are here!
The Stata Blog
by Mia Lv, Senior Statistician
1M ago
The new table features introduced in Stata 17 and Stata 18 have made it easy to create and customize tables of descriptive statistics, regression results, and more. These powerful features became popular among our users very soon after they were introduced, and we often get questions from users who want to know how to accomplish ..read more
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From datasets to framesets and alias variables: Data management advances in Stata
The Stata Blog
by Kreshna Gopal, Principal Computer Scientist and Software Developer
7M ago
The aim of this blog is to describe two novel features introduced in Stata 18 (released in 2023): 1) framesets and 2) alias variables across frames. These features enable Stata to deal with a multiplicity of potentially very large datasets efficiently and conveniently. Framesets allow you to bundle, save on file, and load in memory ..read more
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A Stata command to run ChatGPT
The Stata Blog
by Chuck Huber, Director of Statistical Outreach
9M ago
Artificial intelligence (AI) is a popular topic in the media these days, and ChatGPT is, perhaps, the most well-known AI tool. I recently tweeted that I had written a Stata command called chatgpt for myself that runs ChatGPT. I promised to explain how I did it, so here is the explanation. Review of Stata/Python integration ..read more
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Creating tables of descriptive statistics in Stata 18: The new dtable command
The Stata Blog
by Mia Lv, Staff Statistician
10M ago
In Stata 17, we introduced the new collect suite of commands for creating and customizing tables and the etable command for easily creating and exporting a table of estimation results. Stata 18 offers another new command, dtable, that easily builds and exports a table of descriptive statistics, often called Table 1 in publications. Now generating ..read more
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Heteroskedasticity robust standard errors: Some practical considerations
The Stata Blog
by Enrique Pinzon, Associate Director Econometrics
1y ago
Introduction Some discussions have arisen lately with regard to which standard errors should be used by practitioners in the presence of heteroskedasticity in linear models. The discussion intrigued me, so I took a second look at the existing literature. I provide an overview of theoretical and simulation research that helps us answer this question. I ..read more
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Just released from Stata Press: Microeconometrics Using Stata, Second Edition
The Stata Blog
by Stacey Ksionda, Marketing Specialist
1y ago
Stata Press is pleased to announce the release of Microeconometrics Using Stata, Second Edition, Volumes I and II, by A. Colin Cameron and Pravin K. Trivedi. This book not only debuted as Kindle’s #1 New Release but also immediately ranked high on Kindle’s competitive best-seller lists in categories such as Statistics, Microeconomics, Econometrics & Statistics ..read more
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Bayesian threshold autoregressive models
The Stata Blog
by Nikolay Balov, Associate Director, Bayesian Statistics
2y ago
Autoregressive (AR) models are some of the most widely used models in applied economics, among other disciplines, because of their generality and simplicity. However, the dynamic characteristics of real economic and financial data can change from one time period to another, limiting the applicability of linear time-series models. For example, the change of unemployment rate ..read more
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Using the margins command with different functional forms: Proportional versus natural logarithm changes
The Stata Blog
by Chris Cheng, Staff Econometrician
2y ago
margins is a powerful tool to obtain predictive margins, marginal predictions, and marginal effects. It is so powerful that it can work with any functional form of our estimated parameters by using the expression() option. I am going to show you how to obtain proportional changes of an outcome with respect to changes in the ..read more
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Comparing transmissibility of Omicron lineages
The Stata Blog
by Nikolay Balov, Principle Statistician and Software Developer
2y ago
Monitoring lineages of the Omicron variant of the SARS-CoV-2 virus continues to be an important health consideration. The World Health Organization identifies BA.1, BA.1.1, and the most recent BA.2 as the most common sublineages. A recent study from Japan, Yamasoba et al. (2022), compares, among other characteristics, the transmissibility of these three Omicron lineages with ..read more
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Wharton Research Data Services, Stata 17, and JDBC
The Stata Blog
by Kevin Crow, Principal Software Developer
2y ago
Working with Wharton Research Data Services (WRDS) data in Stata is now even easier. I previously wrote about accessing WRDS data via ODBC. With Stata 17, using JDBC makes configuring WRDS and Stata even easier—and the steps to configure are the same across all operating systems. Whether you download WRDS data to your local machine ..read more
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