2021 Stata Conference

From Stata Users Group
Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

Access Statistics for this working paper series.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

35: Validating a user-developed bivariate pseudo-random vector generator

Joseph Terza

34: Drivers of COVID-19 outcomes: Evidence from a heterogeneous SAR panel-data model

Christopher Baum and Miguel Henry

33: Measurement error and misclassification in linked earnings data: Estimation of the Kapteyn and Ypma model

Stephen Jenkins and Fernando Rios-Avila

32: Vaccination coverage quality indicators (VCQI): A flexible collection of Stata programs for standardized survey data analysis

Dale Rhoda

31: Joint estimation of employment and unemployment hazard rates with unobserved heterogeneity using the hshaz2s command

David Troncoso-Ponce

30: Structural equation modeling the ICU patient microbiome and risk of bacteremia

James Hurley

29: Use of the bayesmh command in Stata to calculate excess relative and excess absolute risk for radiation health risk estimates

Lori Chappell

28: Bayesian econometrics in Stata 17

David Schenck

27: A Stata 17 implementation of the local ratio autonomy: Calling Python

Juan S. Morales-Castillo

26: Beyond n-grams, tf-idf, and word indicators for text: Leveraging the Python API for vector embeddings

William Buchanan

25: Machine learning using Stata/Python

Giovanni Cerulli

24: Making Stata estimation commands faster through automatic differentiation and integration with Python

Paul Lambert

23: Censored demand system estimation

Grace Melo

22: Estimation of ordered probit model with endogenous switching between two latent regimes

Jan Willem Nijenhuis

21: rbprobit: Recursive bivariate probit estimation and decomposition of marginal effects

Mustafa Coban

20: Hunting for the missing score functions

Álvaro A. Gutiérrez-Vargas

19: Calprotectin, an emerging biomarker of interest in COVID-19: Meta-analysis using Stata

Raphael Udeh

18: glasso: Graphical lasso for learning sparse inverse covariance matrices

Aramayis Dallakyan

17: Network regressions in Stata

Morad Zekhnini

16: netivreg: Estimation of peer effects in endogenous social networks

Juan Estrada

15: allsynth: Synthetic control bias-corrections utilities for Stata

Justin Wiltshire

14: Trusting difference-in-difference estimates more: An approximate permutation test

Sebastian Bunnenberg

13: Estimation of average treatment effects in staggered difference-in-differences designs

Pedro Sant'Anna

12: Estimation, inference, and diagnostics for difference in differences

Enrique Pinzón

11: Using the package hettreatreg to interpret OLS estimates under treatment-effect heterogeneity

Tymon Słoczyński

10: A “CACE” in point: Estimating causal effects via a latent class approach in RCTs with noncompliance using Stata

Patricio Troncoso

9: One weird trick for better inference in experimental designs

Austin Nichols

8: An LM test for the mean stationarity assumption in dynamic panel-data models

Laura Magazzini

7: xtbreak: Estimation and tests for structural breaks in time series and panel data

Jan Ditzen

6: Incorporating Stata into reproducible documents during survey data management for intervention projects in Africa

Jerry Agulehi

5: Customizable tables

Kristin MacDonald

4: Beyond histograms and box plots: Some commands for univariate distribution graphics

Nicholas Cox

3: Averaged shifted histograms (ASHs) or weighted averaging of rounded points (WARPs): Efficient methods to calculate kernel density estimators for circular data

Isaías Salgado-Ugarte

2: distcomp: Comparing distributions

David Kaplan

1: dstat: A new command for the analysis of distributions

Ben Jann