2017
DOI: 10.1111/rssa.12313
|View full text |Cite
|
Sign up to set email alerts
|

On Solving Endogeneity with Invalid Instruments: An Application to Investment Equations

Abstract: Summary Regression models relating investment demand with firms’ Tobin's q and cash flow are fraught with measurement errors which, in turn, cause endogeneity bias. We propose an alternative solution to this problem based on modelling the interaction between the endogenous Tobin's q and the error term in the investment equation as a function of lagged values of Tobin's q. We then study the identification conditions and asymptotic properties of the resulting estimator. Our analysis of a panel of US firms reveal… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
4
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(4 citation statements)
references
References 48 publications
0
4
0
Order By: Relevance
“…1. For the sampling-theory counterpart see Galvao et al (2018) which has been implemented only in the case of a single endogenous regressor.…”
Section: Notesmentioning
confidence: 99%
See 2 more Smart Citations
“…1. For the sampling-theory counterpart see Galvao et al (2018) which has been implemented only in the case of a single endogenous regressor.…”
Section: Notesmentioning
confidence: 99%
“…All chains are subjected to convergence tests and numerical performance. These results are available on request as a separate Appendix.…”
Section: Notesmentioning
confidence: 99%
See 1 more Smart Citation
“…One proxy is called average Tobin's q. The relationship between average and marginal q is modeled as errors-in-variables (see Galvao et al (2018) for more details). In view of our setting (i.e., X = Z + ), here Z would represent marginal Tobin's q and X would represent average Tobin's q.…”
Section: Introductionmentioning
confidence: 99%