2019 Stata Conference

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99: Simulating Baboon Behavior using Stata

Phil Ender

53: Panel Stochastic Frontier Models with Endogeneity in Stata

Mustafa Karakaplan

51: tesensitivity: A Stata Package for Assessing the Unconfoundedness Assumption

Matthew Masten and Alexandre Poirier

50: A practical application of the mvport package: CAPM-based optimal portfolios

Carlos Dorantes

49: Fitting generalized linear models when the data exceeds available memory

Joseph Canner and Krisztian Sebestyen

48: Hierarchical Summary ROC Analysis: A frequentist-bayesian colloquy in Stata

Ben Adarkwa Dwamena

47: Verifying the Existence of Maximum Likelihood Estimates in Generalized Linear Models

Thomas Zylkin

46: Bacon decomposition for understanding differences-in-differences with variation in treatment timing

Austin Nichols, Andrew Goodman-Bacon and Thomas Goldring

44: Unbiased IV in Stata

Austin Nichols

43: The matching problem using Stata

Choonjoo Lee

42: The Individual Process of Neighborhood Change and Residential Segregation in 1940 - An Implication of Discrete-Choice Model

Karl X.Y. Zou and Mark Fossett

41: Psychiatric Morbidity in Physically Injured Children and Adolescents: A National Evaluation

Lakshika Tennakoon, David Spain and Lisa M Knowlton

38: Postestimation Analysis with Stata by SPost13 commands of Survey Data analyzed by MNLM

Debora Giovannelli

31: Mata implementation of Gauss-Legendre quadrature in the M-estimation context: Correcting for sample-selection bias in a generic nonlinear setting

Joseph Terza

30: Barrel Aged Software Development: brewscheme as a four-year old

Billy Buchanan

28: Uncovering the true variability in meta-analysis results using resampling methods

Joseph Canner, Hwanhee Hong and Tianjing Li

27: The Causal Effects of Wages on Labour Supply for Married Women -- Evidence from American Couples

Bob Wen

26: Extending the difference-in-differences (DID) to settings with many treated units and same intervention time: Model and Stata implementation

Giovanni Cerulli

24: Comparing Treatments in the Presence of Competing Risks Based on Life Years Lost

Theodore Karrison and James Dignam

22: Recentered Influence Functions (RIF) in Stata: RIF-Regression and RIF-Decomposition

Fernando Rios-Avila

21: Tools to analyze interest rates and value bonds

Tim Schmidt

20: Using cluster analysis to understand complex data sets- experience from a national nursing consortium

Barbara Williams

13: kmr: A Command to Correct Survey Weights for Unit Nonresponse using Group's Response Rates

Ercio Muñoz Saavedra and Salvatore Morelli

12: ietoolkit: How DIME Analytics develops Stata code from primary data work

Kristoffer Bjarkefur, Luiza Cardoso de Andrade, Benjamin Daniels and Mrijan Rimal

11: iefieldkit: Stata commands for primary data collection and cleaning

Benjamin Daniels, Luiza Cardoso de Andrade and Kristoffer Bjarkefur

6: Estimation of Varying Coefficient models in Stata

Fernando Rios-Avila

4: Connecting Stata and Microsoft Word using StatTag for collaborative reproducibility

Abigail S. Baldridge

3: Inference after lasso model selection

David Drukker

2: Using lasso and related estimators for prediction

Di Liu

1: Stata Python integration

Hua Peng