Abstract
Abstract In this paper we have attempted to provide an integrated approach to the estimation of models with risk terms. It was argued that there exist orthogonality conditions between variables in the information set and higher‐order moments of the unanticipated variable density. These could be exploited to provide consistent estimators of the parameters associated with the risk term. Specifically, it was recommended that an IV estimator should be applied, with instruments constructed from the information set. Four existing methods commonly used to estimate models with risk terms are examined, and applications of the techniques are made to the estimation of the risk term in the $US/$C exchange market, and the effects of price uncertainty upon production.
Keywords
EstimatorOrthogonalityEconometricsEstimationTerm (time)Set (abstract data type)Econometric modelVariable (mathematics)Order (exchange)EconomicsComputer scienceStatisticsMathematicsFinance
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Publication Info
- Year
- 1988
- Type
- article
- Volume
- 3
- Issue
- 2
- Pages
- 87-105
- Citations
- 350
- Access
- Closed
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Cite This
Adrian Pagan,
Aman Ullah
(1988).
The econometric analysis of models with risk terms.
Journal of Applied Econometrics
, 3
(2)
, 87-105.
https://doi.org/10.1002/jae.3950030202
Identifiers
- DOI
- 10.1002/jae.3950030202