Estimating Heteroskedastic and Instrumental Variable Models for Binary Outcome Variables in R

IF 2.3 4区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

R Journal Pub Date : 2023-11-08 DOI:10.32614/rj-2023-050

Mauricio Sarrias

引用次数: 0

Abstract

The objective of this article is to introduce the package Rchoice which provides functionality for estimating heteroskedastic and instrumental variable models for binary outcomes, whith emphasis on the calculation of the average marginal effects. To do so, I introduce two new functions of the Rchoice package using widely known applied examples. I also show how users can generate publication-ready tables of regression model estimates.

查看原文本刊更多论文

估计二元结果变量的异方差和工具变量模型

本文的目的是介绍软件包Rchoice，它提供了估计二元结果的异方差和工具变量模型的功能，重点是平均边际效应的计算。为此，我将使用广为人知的应用示例介绍Rchoice包的两个新函数。我还展示了用户如何生成回归模型估计的可供发布的表。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

R Journal COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The R Journal is the open access, refereed journal of the R project for statistical computing. It features short to medium length articles covering topics that should be of interest to users or developers of R. The R Journal intends to reach a wide audience and have a thorough review process. Papers are expected to be reasonably short, clearly written, not too technical, and of course focused on R. Authors of refereed articles should take care to: - put their contribution in context, in particular discuss related R functions or packages; - explain the motivation for their contribution; - provide code examples that are reproducible.