估计
路径(计算)
计算机科学
控制理论(社会学)
工程类
人工智能
计算机网络
控制(管理)
系统工程
作者
Atsushi Inoue,Barbara Rossi,Yiru Wang,Lingyun Zhou
出处
期刊:Stata Journal
[SAGE Publishing]
日期:2025-06-01
卷期号:25 (2): 374-406
被引量:2
标识
DOI:10.1177/1536867x251341170
摘要
Abstract In this article, we introduce a novel command, tvpreg , that implements two path estimators: 1) the asymptotically weighted average risk minimizing path estimators by Müller and Petalas (2010, Review of Economic Studies 77: 1508-1539) and 2) the path estimators proposed by Inoue, Rossi, and Wang (2024b, Journal of Econometrics: art. 105726), namely, the time-varying-parameter local projections and time-varying-parameter instrumental-variables estimators, with either strong or weak instruments. The postestimation commands tvpplot and predict are designed to, respectively, visualize and store the estimation results.
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