Bounding a Linear Causal Effect Using Relative Correlation Restrictions

By Brian Krauth. 2015

57 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/3a3896b86aa4207b693623716fb4477ba8e47fda

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Leah E M Bevis
2. Christopher B. Barrett
3. Michael R. Carter
4. H. Michelson
5. Shahid Rashid
6. L. McBride
7. Teevrat Garg
8. Patricia Justino

In Statistics and Probability

1. Christopher B. Barrett
2. Leah E M Bevis

Citations in the corpus

• Close to the edge: High productivity at plot peripheries and the inverse size-productivity relationship (2020, background): “Oster (2016), Krauth (2016) and Altonji, Elder and Taber (2005) develop a set of econometric techniques designed for this very purpose: to bound the causal effect of an endogenous explanatory variable under the threat of omitted relevant variable bias.”