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• Regression Analysis: Linear, nonlinear, and robust regression.
• Discrete Choice Models: Logit, probit, multinomial logit, and nested logit (often shared with the Nlogit suite).
• Count Data Models: Poisson, negative binomial, and zero-inflated count models.
• Sample Selection & Censoring: Heckman selection models and Tobit models.

What to do if you need LIMDEP 9.0 specifically?

• Check your university’s software portal – Some still have old site licenses for v9.
• Contact Econometric Software – They may offer legacy versions to verified previous owners.
• Use virtualization – If you legally own a license, run it on Windows 7 VM (v9 is not compatible with Win 10/11).

1. Stata — Widely used, commercial; strong support for limited-dependent models (probit/logit/tobit, selection models, count models) and user-contributed packages for specialized estimators.
2. R (base + packages) — Free/open-source; packages like stats, glm, survival, pscl, VGAM, sampleSelection, and AER provide broad coverage of discrete and limited dependent models.
3. Python (statsmodels) — Free; statsmodels and other libraries support GLMs, discrete models, count models, and some limited-dependent estimators.
4. SAS — Commercial; extensive procedures for generalized linear models, selection models, and advanced econometric techniques.
5. GAMS or NLOGIT — For specialized discrete choice modeling (NLOGIT for choice models); commercial but tailored to certain model classes.
6. Replication or collaboration — Contact authors of published work that used Limdep for code, or use archived data and replicated scripts shared in supplements or institutional repositories.