MBITOBIT: Stata module to fit bivariate Tobit regression

Fernando Rios-Avila ()

Statistical Software Components from Boston College Department of Economics

Abstract: mbitobit fits a maximum-likelihood two-equation tobit models, for variables that are left censored at 0. It contains modules for easy estimation of predicted values (predict) and marginal effects (margins) for most commom outcomes for the model. It can also be used to obtained simulated data based on a previously estimated model.

Language: Stata
Requires: Stata version 13
Keywords: tobit; censoring; predictions (search for similar items in EconPapers)
Date: 2020-02-28, Revised 2020-05-10
Note: This module may be installed from within Stata by typing "ssc install mbitobit". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/m/mbitobit.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mbitobit_lf.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mbitobit_p.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mbitobit.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/d/data_sample.dta sample data file (application/x-stata)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458741

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().