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ASSA 2022 Annual Meeting
Virtual | 7–9 January 2022

Stata will be a virtual exhibitor at the ASSA 2022 Annual Meeting. For more information about the meeting, visit the ASSA 2022 Annual Meeting page.

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Stata talk

Title: Bayesian Econometrics in Stata 17
Presenter: David Schenck, Senior Econometrician and Software Developer, StataCorp
Date: Sunday, 9 January 2022
Registration deadline: 8 January 2022
Time: 2:15–3:45 p.m. ET
Description:

Stata 17 introduced Bayesian support for many time-series and panel-data commands. In this talk, David will discuss Bayesian vector autoregression models, Bayesian DSGE models, and Bayesian panel-data models. Bayesian estimation is well suited to these models because economic considerations often impose structure that is captured well by informative priors. David will describe the main features of these commands as well as Bayesian diagnostics, posterior hypothesis tests, predictions, impulse–response functions, and forecasts.

David Schenck

David Schenck portrait

David Schenck is a Senior Econometrician at StataCorp and is the primary developer of Stata's new DSGE features. He has a bachelor's degree in economics from Vanderbilt University and a PhD in economics from Boston College. His research interests lie in macroeconometrics.

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Introduction to Stata



Stata overview
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Why Stata
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Stata 17 highlights
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Features



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Bayesian econometrics
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Data frames
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Difference in differences
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Extended regression models (ERMs)
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Finite mixture models (FMMs)
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Interval-censored Cox model
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Item response theory (IRT)
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Lasso: Prediction and inference
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Maximum likelihood estimation
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Meta-analysis
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Multiple imputation
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Multilevel mixed-effects models
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Nonparametric regression
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Panel data
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Power, precision, and sample-size analysis
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PyStata
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Reproducible and automated reporting
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Spatial autoregressive models (SARs)
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Structural equation modeling (SEM)
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Survival analysis
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Time series
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