The 32 records in series RePEc:tsj:stataj for which Cirtec does not have a PDF file in the web archive..

  1. David Roodman () “Fitting fully observed recursive mixed-process models with cmp” / RePEc:tsj:stataj:v:11:y:2011:i:2:p:159-206
  2. Reinhard Schunck () “Within and between estimates in random-effects models: Advantages and drawbacks of correlated random effects and hybrid models” / RePEc:tsj:stataj:v:13:y:2013:i:1:p:65-76
  3. Barbara Guardabascio, Marco Ventura () “Estimating the dose–response function through a generalized linear model approach” / RePEc:tsj:stataj:v:14:y:2014:i:1:p:141-158
  4. Giovanni Cerulli () “ivtreatreg: A command for fitting binary treatment models with heterogeneous response to treatment and unobservable selection” / RePEc:tsj:stataj:v:14:y:2014:i:3:p:453-480
  5. Michela Bia, Carlos A. Flores, Alfonso Flores-Lagunes, Alessandra Mattei () “A Stata package for the application of semiparametric estimators of dose–response functions” / RePEc:tsj:stataj:v:14:y:2014:i:3:p:580-604
  6. Giovanni Cerulli () “ctreatreg: Command for fitting dose–response models under exogenous and endogenous treatment” / RePEc:tsj:stataj:v:15:y:2015:i:4:p:1019-1045
  7. Miguel Manjón, Juan Mañez () “Production function estimation in Stata using the Ackerberg–Caves–Frazer method” / RePEc:tsj:stataj:v:16:y:2016:i:4:p:1046-1059
  8. Reinhard Schunck, Francisco Perales () “Within- and between-cluster effects in generalized linear mixed models: A discussion of approaches and the xthybrid command” / RePEc:tsj:stataj:v:17:y:2017:i:1:p:89-115
  9. Giovanni Cerulli () “Estimating responsiveness scores using rscore” / RePEc:tsj:stataj:v:17:y:2017:i:2:p:422-441
  10. Jesús Otero, Christopher F Baum () “Response surface models for the Elliott, Rothenberg, and Stock unit-root test” / RePEc:tsj:stataj:v:17:y:2017:i:4:p:985-1002
  11. Jesús Otero, Christopher F Baum () “Unit-root tests based on forward and reverse Dickey–Fuller regressions” / RePEc:tsj:stataj:v:18:y:2018:i:1:p:22-28
  12. Christopher F Baum () “Residual diagnostics for cross-section time series regression models” / RePEc:tsj:stataj:v:1:y:2001:i:1:p:101-104
  13. Christopher F Baum, Mark E. Schaffer, Steven Stillman () “Instrumental variables and GMM: Estimation and testing” / RePEc:tsj:stataj:v:3:y:2003:i:1:p:1-31
  14. Marcelo J. Moreira, Brian P. Poi () “Implementing tests with correct size in the simultaneous equations model” / RePEc:tsj:stataj:v:3:y:2003:i:1:p:57-70
  15. Christopher F Baum () “Stata: The language of choice for time-series analysis?” / RePEc:tsj:stataj:v:5:y:2005:i:1:p:46-63
  16. Ian Watson () “Further processing of estimation results: Basic programming with matrices” / RePEc:tsj:stataj:v:5:y:2005:i:1:p:83-91
  17. Tamás Bartus () “Estimation of marginal effects using margeff” / RePEc:tsj:stataj:v:5:y:2005:i:3:p:309-329
  18. Patrick Royston () “Multiple imputation of missing values: Update of ice” / RePEc:tsj:stataj:v:5:y:2005:i:4:p:527-536
  19. Gueorgui I. Kolev () “Stata tip 31: Scalar or variable? The problem of ambiguous names” / RePEc:tsj:stataj:v:6:y:2006:i:2:p:279-280
  20. Alfonso Miranda, Sophia Rabe-Hesketh () “Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables” / RePEc:tsj:stataj:v:6:y:2006:i:3:p:208-308
  21. Anna Mikusheva, Brian P. Poi () “Tests and confidence sets with correct size when instruments are potentially weak” / RePEc:tsj:stataj:v:6:y:2006:i:3:p:335-347
  22. Christopher F Baum () “Stata tip 37: And the last shall be first” / RePEc:tsj:stataj:v:6:y:2006:i:4:p:588-589
  23. Christopher F Baum () “Stata tip 38: Testing for groupwise heteroskedasticity” / RePEc:tsj:stataj:v:6:y:2006:i:4:p:590-592
  24. Christopher F Baum () “Stata tip 40: Taking care of business” / RePEc:tsj:stataj:v:7:y:2007:i:1:p:137-139
  25. Christopher F Baum, Nicholas J. Cox () “Stata tip 45: Getting those data into shape” / RePEc:tsj:stataj:v:7:y:2007:i:2:p:268-271
  26. Christopher F Baum, Mark E. Schaffer, Steven Stillman () “Enhanced routines for instrumental variables/generalized method of moments estimation and testing” / RePEc:tsj:stataj:v:7:y:2007:i:4:p:465-506
  27. Christopher F Baum () “Stata tip 63: Modeling proportions” / RePEc:tsj:stataj:v:8:y:2008:i:2:p:299-303
  28. Michela Bia, Alessandra Mattei () “A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score” / RePEc:tsj:stataj:v:8:y:2008:i:3:p:354-373
  29. Christopher F Baum, Teresa Linz () “Evaluating concavity for production and cost functions” / RePEc:tsj:stataj:v:9:y:2009:i:1:p:161-165
  30. Christopher F Baum () “Stata tip 73: append with care!” / RePEc:tsj:stataj:v:9:y:2009:i:1:p:166-168
  31. David Roodman () “How to do xtabond2: An introduction to difference and system GMM in Stata” / RePEc:tsj:stataj:v:9:y:2009:i:1:p:86-136
  32. Christopher F Baum, Sebastiaan Bibo () “Stata tip 126: Handling irregularly spaced high-frequency transactions data” / RePEc:tsj:stataj:y:16:y:2016:i:2:p:517-520