**Clarify** is a software program designed to help researchers interpret and present statistical results using Monte Carlo simulation. It is compatible with Stata Statistical Software and supports various statistical models, including linear regression, binary logit, binary probit, ordered logit, ordered probit, multinomial logit, Poisson regression, negative binomial regression, Weibull regression, seemingly unrelated regression equations, and the additive logistic normal model for compositional data. The program allows users to simulate quantities of interest, such as predicted values, expected values, and first differences, based on the chosen statistical model and the values of the explanatory variables. **Key Features:** - **Installation:** Clarify can be installed on computers connected or not connected to the internet. - **Update:** Users can update Clarify from version 1.2x or earlier or from version 2.0 or later. - **Command Overview:** The main commands are `estsimp`, `setx`, and `simqi`. `estsimp` estimates models and generates simulations of parameters, `setx` sets values for explanatory variables, and `simqi` simulates quantities of interest. - **Options:** Each command has various options to customize the simulation process, such as the number of simulations, generating new variables, and specifying transformations. - **Examples:** Detailed examples are provided to illustrate how to use the commands, including setting values, simulating quantities, and generating graphs. - **FAQs:** Common questions and answers are included to address issues like precision, insignificant variables, and data handling. - **Algorithms:** The algorithms used in `estsimp`, `setx`, and `simqi` are explained in detail, including the methods for drawing simulations from their asymptotic sampling distributions and handling imputed datasets. **Usage:** - **Basic Steps:** Users can estimate a model, simulate parameters, set values for explanatory variables, and simulate quantities of interest. - **Advanced Features:** The program supports complex simulations, such as analyzing compositional data and handling interaction terms. **Citation and Distribution:** - **Citation:** Users are encouraged to cite the software and the associated research paper. - **Distribution:** Clarify is copyrighted but can be copied and distributed for non-commercial use, provided it remains identical to the original version.**Clarify** is a software program designed to help researchers interpret and present statistical results using Monte Carlo simulation. It is compatible with Stata Statistical Software and supports various statistical models, including linear regression, binary logit, binary probit, ordered logit, ordered probit, multinomial logit, Poisson regression, negative binomial regression, Weibull regression, seemingly unrelated regression equations, and the additive logistic normal model for compositional data. The program allows users to simulate quantities of interest, such as predicted values, expected values, and first differences, based on the chosen statistical model and the values of the explanatory variables. **Key Features:** - **Installation:** Clarify can be installed on computers connected or not connected to the internet. - **Update:** Users can update Clarify from version 1.2x or earlier or from version 2.0 or later. - **Command Overview:** The main commands are `estsimp`, `setx`, and `simqi`. `estsimp` estimates models and generates simulations of parameters, `setx` sets values for explanatory variables, and `simqi` simulates quantities of interest. - **Options:** Each command has various options to customize the simulation process, such as the number of simulations, generating new variables, and specifying transformations. - **Examples:** Detailed examples are provided to illustrate how to use the commands, including setting values, simulating quantities, and generating graphs. - **FAQs:** Common questions and answers are included to address issues like precision, insignificant variables, and data handling. - **Algorithms:** The algorithms used in `estsimp`, `setx`, and `simqi` are explained in detail, including the methods for drawing simulations from their asymptotic sampling distributions and handling imputed datasets. **Usage:** - **Basic Steps:** Users can estimate a model, simulate parameters, set values for explanatory variables, and simulate quantities of interest. - **Advanced Features:** The program supports complex simulations, such as analyzing compositional data and handling interaction terms. **Citation and Distribution:** - **Citation:** Users are encouraged to cite the software and the associated research paper. - **Distribution:** Clarify is copyrighted but can be copied and distributed for non-commercial use, provided it remains identical to the original version.