# sftt **Repository Path**: owen560/sftt ## Basic Information - **Project Name**: sftt - **Description**: Codes and data for `sftt` command. Lian Yujun, Chang Liu, Christopher F. Parmeter. Two-tier stochastic frontier analysis using Stata. **Stata Joural**, 2022, forthcoming. - **Primary Language**: Unknown - **License**: BSD-3-Clause - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 2 - **Created**: 2023-01-16 - **Last Updated**: 2023-01-16 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # SFTT The repository of Stata command `sftt`. For details, see: > Yujun, Chang Liu, Christopher F. Parmeter. Two-tier stochastic frontier analysis using Stata. **Stata Joural**, 2022, forthcoming. ## Description `sftt` fits two-tier stochastic frontier (**2TSF**) models with multiple model settings. The 2TSF model consists of a linear model with a disturbance that is assumed to be a mixture of three components: two measures of inefficiency which are strictly nonnegative and nonpositive respectively, and a two-sided error term from a symmetric distribution. `sftt` can fit 2TSF models with distributional assumption. When using distributional assumption mode, this command is applicable to estimate - models in **exponential/exponential/normal** specification following [Kumbhakar and Parmeter (2009)](https://doi.org/10.1007/s11123-008-0117-3) - models in **half-normal/half-normal/normal** specification following [Papadopoulos (2015)](https://doi.org/10.1007/s11123-014-0389-8). This command also fits - models with **scaling property** following [Parmeter (2018)](https://doi.org/10.1007/s11123-017-0520-8). ## The sftt commands - `sftt` estimates two-tier SF models listed above. - `sftt sigs` identifies the distribution of each component in the composite error term. - `sftt eff` decomposes the residual and generate measures of inefficiency. ## Acknowledgments We thank Alecos Papadopoulos for his amazing support. ## Program Authors - [Yujun Lian](mailto:arlionn@163.com) (repo owner). Lingnan College, Sun Yat-sen University. Guangzhou, China. [-Link-](https://www.lianxh.cn) - [Chang Liu](mailto:liuch288@mail2.sysu.edu.cn). Lingnan College, Sun Yat-sen University Guangzhou, China. - [Christopher F. Parmeter](cparmeter@bus.miami.edu). Department of Economics, University of Miami Miami, FL, USA.