Stata is a complete, integrated statistical package that provides everything you need for data analysis, data management, and graphics. Stata is not sold in modules, which means you get everything you need in one package. And, you can choose a perpetual license, with nothing more to buy ever. Annual licenses are also available.Stata 12 adds many new features such as structural equation modeling (SEM), contrasts, ARFIMA, business calendars, chained equations for multiple imputation, contour plots, automatic memory management, importing and exporting of Excel files, and more. (Source:

References in zbMATH (referenced in 819 articles , 1 standard article )

Showing results 1 to 20 of 819.
Sorted by year (citations)

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  1. Baltagi, Badi H.: Econometric analysis of panel data (2021)
  2. Baum, Christopher F.; Hurn, Stan: Environmental econometrics using Stata (2021)
  3. Böhning, Dankmar; Martin, Susan; Sangnawakij, Patarawan; Jansen, Katrin; Böhning, Walailuck; Holling, Heinz: Nonparametric estimation of effect heterogeneity in rare events meta-analysis: bivariate, discrete mixture model (2021)
  4. Chen, Ding-Geng (Din); Peace, Karl E.: Applied meta-analysis with R and Stata (2021)
  5. Giovanni Cerulli: Machine Learning using Stata/Python (2021) arXiv
  6. Handel, Danielle V.; Ho, Anson T. Y.; Huynh, Kim P.; Jacho-Chávez, David T.; Rea, Carson H.: Econometrics pedagogy and cloud computing: training the next generation of economists and data scientists (2021)
  7. Javadi, Sara; Bahrampour, Abbas; Saber, Mohammad Mehdi; Garrusi, Behshid; Baneshi, Mohammad Reza: Evaluation of four multiple imputation methods for handling missing binary outcome data in the presence of an interaction between a dummy and a continuous variable (2021)
  8. Khalaf, Lynda; Kichian, Maral; Saunders, Charles J.; Voia, Marcel: Dynamic panels with MIDAS covariates: nonlinearity, estimation and fit (2021)
  9. Linda Nab, Maarten van Smeden, Ruth H. Keogh, Rolf H.H. Groenwold: mecor: An R package for measurement error correction in linear regression models with a continuous outcome (2021) arXiv
  10. Liu, Xinpeng; Yang, Xianqiang; Yu, Miao: Identification of switched FIR systems with random missing outputs: a variational Bayesian approach (2021)
  11. Mehmetoglu, Mehmet; Venturini, Sergio: Structural equation modelling with partial least squares using Stata and R (2021)
  12. M. Pierce; R. Emsley: Estimating and evaluating personalized treatment recommendations from randomized trials with ptr (2021) not zbMATH
  13. Nguyen K. Huynh, Sergio Bejar, Vineeta Yadav, Bumba Mukherjee: IDCeMPy: Python Package for Inflated Discrete Choice Models (2021) not zbMATH
  14. Samuel L. Brilleman, Rory Wolfe, Margarita Moreno-Betancur, Michael J. Crowther: Simulating Survival Data Using the simsurv R Package (2021) not zbMATH
  15. Sheng Dai, Yu-Hsueh Fang, Chia-Yen Lee, Timo Kuosmanen: pyStoNED: A Python Package for Convex Regression and Frontier Estimation (2021) arXiv
  16. X. D’Haultfœuille, L. Girard, R. Rathelot: segregsmall: A command to estimate segregation in the presence of small units (2021) not zbMATH
  17. Zhou, Xianbo; Li, Heyang: Interaction and quadratic effects in probit model with endogenous regressors (2021)
  18. Abbink, Klaus; Ryvkin, Dmitry; Serra, Danila: Corrupt police (2020)
  19. Achim Zeileis, Susanne Köll, Nathaniel Graham: Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (2020) not zbMATH
  20. Aizenman, Joshua; Chinn, Menzie D.; Ito, Hiro: Financial spillovers and macroprudential policies (2020)

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