LIMDEP and NLOGIT: Superior Statistical Analysis Software

LIMDEP descriptive statistical analysis tools including kernel density estimation and linear regression

LIMDEP numerical and graphical analysis of partial effects and model simulations

Professional Econometrics and Advanced Data Analysis Software

LIMDEP and NLOGIT are integrated econometric and statistical analysis software packages that are unsurpassed in the breadth and variety of their estimation tools.  There are over 200 built-in programs for analysis of variance, statistical analysis, and all forms of linear regression, logistic regression, stochastic frontier analysis, multinomial logistic regression and limited dependent variable models, including models for binary, censored, truncated, survival, count, discrete and continuous variables and a variety of sample selection models. There are over 20 different types of models for count data, including Poisson regression and negative binomial models. No other program offers a wider range of single and multiple equation linear and nonlinear models. Details

Innovations in Econometrics and Statistical Analysis

LIMDEP and NLOGIT offer state-of-the-art modeling tools for panel data, survival modeling and efficiency analysis that are not found in any other program. Numerous innovations have originated in LIMDEP and NLOGIT. ‘What’s new’ in other programs have been in LIMDEP for years. No other software has combined the fixed effects, random parameters, hierarchical models, mixed models and finite mixture models in such a wide variety of modeling frameworks. Details

Programming Tools Maximize Flexibility

LIMDEP and NLOGIT contain an extensive set of fully integrated analysis tools. All of these interact to produce a studio, or 'laboratory' format for econometric and statistical analysis. A set of programming instructions including matrix and data manipulation commands, random number generators and a nonlinear solver allow you to specify and estimate your own model and creatively manipulate all your model estimation results for hypothesis, interval estimation, prediction and simulation. Details

The Power of NLOGIT

NLOGIT multinomial logistic regression
NLOGIT provides the widest and deepest array of tools available anywhere for analysis of multinomial logistic regression, including (heterogeneous) nested logit, generalized mixed multinomial logit, heteroscedastic extreme value, multinomial probit (and multiperiod-multinomial probit), mixed logit and panel (stated choice) estimators for mixed logit, random utility, and latent class multinomial logit models. NLOGIT is the only program available that supports mixing stated and revealed choice data sets. NLOGIT 5 offers a unique simulation package that allows you to analyze alternative scenarios in the context of any estimated discrete choice model with any data set, whether used in estimation or as hold out data for examining model cross validity. NLOGIT 5 also includes all of the features of LIMDEP 10. Details

Post Estimation Tools

After a model is estimated, you can manipulate the results, compute predictions and marginal effects, or other functions of estimated parameters and model predictions. The simulation and partial effects engines allow you to examine the effects of any variable in any model regardless of its complexity. Details


LIMDEP and NLOGIT use extremely accurate computational methods throughout. As reported in recent publications, they score high marks on all of the National Institute of Standards and Technology benchmark tests for accuracy in ANOVA, linear and nonlinear regression and descriptive statistics. Reliable statistics provide quality assurance and allow you to make smarter decisions that improve outcomes. Details

Easy to Use Interface

Menu-driven command builders allow you to build your models from menus and dialogs while you learn the command language.

New PDF Documentation

Our new electronic documentation contains full reference guides for the program, background econometrics, and sample applications.  The LIMDEP manuals are structured like courses in econometrics, and contain extensive background discussion of econometric models.  Details