London Stata Conference 2020

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15: kinkyreg: Instrument-free inference for linear regression models with endogenous regressors

Sebastian Kripfganz and Jan Kiviet

14: New Bayesian features: multiple chains, predictions, and more

Yulia Marchenko

13: randregret: A command for fitting Random Regret Minimization Models

Álvaro A. Gutiérrez Vargas, Michel Meulders and Martina Vandebroek

12: A gmm recipe to get standard errors for control function and other two-step estimators

Enrique Pinzon

11: dbnomics: Second Generation P-Values (SGPV) for common estimation commands in Stata

Sven-Kristjan Bormann

10: f_able: Estimation of marginal effects for models with alternative variable transformations

Fernando Rios-Avila

09: Fancy graphics: Force-directed diagrams

Philippe Van Kerm

08: Sample size calculation for an ordered categorical outcome

Ian White, Ella Marley-Zagar, Tim Morris, Mahesh K. B. Parmar and Abdel G. Babiker

07: xthst: Testing for slope homogeneity in Stata

Jan Ditzen and Tore Bersvendsen

06: Correlated random effects methods for panel data models with heterogeneous time effects

Jeffrey Wooldridge

05: Socioeconomic Factors influencing the Spatial Spread of COVID-19 in the United States

Christopher Baum and Miguel Henry

04: Unit root tests for explosive behaviour

Jesus Otero and Christopher Baum

03: Agent based models in Mata: Modelling aggregate processes, like the spread of a disease

Maarten Buis

02: Non-parametric estimation in multi-state survival models: An update to msaj

Micki Hill, Paul C. Lambert and Michael Crowther

01: From datasets to metadatasets in Stata

Roger Newson