Stata Journal Volume 13 Number 2: Table of contents
(Click on the title to view the abstract or to view a PDF of the article.)
Articles and Columns
- Maximum likelihood and generalized spatial two-stage least-squares estimators for a spatial-autoregressive model with spatial-autoregressive disturbances
- D. M. Drukker, I. R. Prucha, and R. Raciborski
- Creating and managing spatial-weighting matrices with the spmat command
- D. M. Drukker, H. Peng, I. R. Prucha, and R. Raciborski
- A command for estimating spatial-autoregressive models with spatial-autoregressive disturbances and additional endogenous variables
- D. M. Drukker, I. R. Prucha, and R. Raciborski
- A command for Laplace regression
- M. Bottai and N. Orsini
- Importing U.S. exchange rate data from the Federal Reserve and standardizing country names across datasets
- B. Dicle, J. Levendis, and M. F. Dicle
- Generating Manhattan plots in Stata
- D. E. Cook, K. R. Ryckman, and J. C. Murray
- Semiparametric fixed-effects estimator
- F. Libois and V. Verardi
- Exact Wilcoxon signed-rank and Wilcoxon Mann-Whitney ranksum tests
- T. Harris and J. W. Hardin
- Extending the flexible parametric survival model for competing risks
- S. R. Hinchliffe and P. C. Lambert
- Goodness-of-fit tests for categorical data
- R. Bellocco and S. Algeri
- Standardizing anthropometric measures in children and adolescents with functions for egen: Update
- S. I. Vidmar, T. J. Cole, and H. Pan
- Bonferroni and Holm approximations for Šidák and Holland-Copenhaver q-values
- R. B. Newson
- Fitting the generalized multinomial logit model in Stata
- Y. Gu, A. R. Hole, and S. Knox
- Speaking Stata: Creating and varying box plots: Correction
- N. J. Cox
Notes and Comments
- Stata tip 115: How to properly estimate the multinomial probit model with heteroskedastic errors
- M. Herrmann
Software Updates
- Software Updates
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