2022 Stata Conference
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- 19: Recovering income distribution in the presence of interval-censored data

- Gustavo Canavire-Bacarreza and Fernando Rios-Avila
- 18: Comparative benefits of analyzing spatial aggregate data using Stata’s Sp versus gsem and sem

- Emil Coman
- 17: Visualizing survey data-analysis results: Marrying the best from Stata and R

- Nel Jason Haw
- 16: Mastering Stata’s datetime concepts and functions

- Gabriela Ortiz
- 15: mlmeval: Complementary tools for an integrated approach to multilevel model selection

- Anthony J. Gambino, Sarah D. Newton and D. Betsy McCoach
- 14: Customizable tables

- Kristin MacDonald
- 13: Development research in practice: A new handbook with Stata conventions and style guidance

- Benjamin Daniels, Kristoffer Bjarkefur, Luiza Cardoso de Andrade and Maria Jones
- 12: Distributional analysis using microsimulations in Stata

- Ercio Muñoz Saavedra
- 11: A workflow for data documentation using Stata

- Luiza Cardoso de Andrade, Kristoffer Bjarkefur, Benjamin Daniels and Avnish Singh
- 10: Macrofinancial determinants of default probability using copula: A case study of Indonesian banks

- Maulana Harris Muhajir
- 09: The effect along a year of COVID-19: The role of prior violence, social isolation, and substance use in psychological, physical, and sexual partner violence

- Angelo Cozzubo, Wilson Hernández, José Carlos Aguilar and Jorge Agüero
- 08: Drivers of COVID-19 deaths in the United States: A two-stage modeling approach

- Christopher Baum, Andres Garcia-Suaza, Miguel Henry and Jesus Otero
- 07: Treatment-effects estimation using lasso

- Di Liu
- 06: Working efficiently with Stata in shared computing environments

- Billy Buchanan
- 05: New tools to create PowerPoint presentations within Stata

- Tim Schmidt
- 04: rbicopula: Recursive bivariate copula estimation and decomposition of marginal effects

- Mustafa Coban
- 03: bivpoisson: A Stata command estimating seemingly unrelated count data

- Abbie Zhang, Joseph Terza and James Fisher
- 02: Quantile regression in Stata: Performance, precision, and power

- Morten Wang Fagerland
- 01: gtsheckman: Generalized two-step Heckman estimator

- Alyssa Carlson