arrow
Return

Many instruments: Implementation in Stata

delete2019-12-18
delete3
delete
OA
AI
S
Stanislav Anatolyev *
A
Alena Skolkova
DOI:10.1177/1536867X19893627delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
In recent decades, econometric tools for handling instrumental-variable regressions characterized by many instruments have been developed. We introduce a command, mivreg, that implements consistent estimation and testing in linear instrumental-variables regressions with many (possibly weak) instruments. mivreg covers both homoskedastic and heteroskedastic environments, estimators that are both nonrobust and robust to error nonnormality and projection matrix limit, and parameter tests and specification tests both with and without correction for existence of moments. We also run a small simulation experiment using mivreg and illustrate how mivreg works with real data.
Keywords:
st0580
mivreg
instrumental-variables regression
many instruments
limited information maximum likelihood
Fuller correction
robust standard errors
specification testing
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

S
Stata Journal
IF:
2.4
Papers:
1.2K
Citations:
8.4K

Organization

C
Charles University Prague
Scholars:
2.9W
Papers: 2.2W
Citations: 158