Minimum Distance Estimation of the Errors-In-Variables Model Using Linear Cumulant Equations
By Timothy Erickson, Colin Huan Jiang, Toni M. Whited. 2014
158 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5b46050edfc203d2c1dbc641e711c75a45e93fd8
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In Economics and Econometrics
In Finance
Citations in the corpus
- Investment and the Weighted Average Cost of Capital (2016, unknown): “This result can be interpreted as evidence of financial constraints, as in the work of Fazzari, Hubbard, and Petersen (1988), or as evidence of measurement error in the proxy for marginal q, as in the work of Erickson and Whited (2000).”
- Monetary stimulus and bank lending (2020, unknown): “We utilize the cumulant estimator from Erickson et al. (2014) in our Column 5 to address the errors-in-variables issue for Tobin’s q as a proxy for investment opportunities.”
- Anatomy of Corporate Borrowing Constraints* (2020, background): “also use the higher order cumulant estimators of Erickson et al. (2014). We still only find significant impact of EBITDA for firms bound by EBCs and not for the other firm groups (the magnitude of the coefficients is larger and varies with the parameters used).”