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Risk Independence and Multiattributed Utility Functions
The concepts of conditional risk aversion, the conditional risk premium, and risk independence pertaining to multiattributed utility functions are defined. The latter notion is then generalized to what is called utility independence. A number of theorems useful for simplifying the assessment of multiattributed utility functions given certain risk independence and utility independence assumptions are stated.
Independence of Irrelevant Alternatives
Restricted and Unrestricted Reduced Forms: Asymptotic Distribution and Relative Efficiency
[This paper derives the asymptotic distribution of restricted and unrestricted reduced form estimators and compares their asymptotic efficiency. It also shows that the same techniques yield the asymptotic distribution of dynamic multipliers.]
A Computer Program for Dynamic Multipliers
THE DYMULT (dynamic multipliers) program is designed to calculate impact, interim, and total multipliers of a simple linear simultaneous equations model with lags. Builders of an aggregate econometric model have often concentrated on the validity of signs and magnitudes of the estimated regression coefficients of each structural equation and neglected to check the stability conditions of the system, which could be a symptom of specification errors in the model. The DYMULT program checks the stability conditions of the system of equations and calculates the impact, interim, and total multipliers. The matrix form of a simple lag linear simultaneous equations model can be written as follows:
Multiple Equation Systems with Stationary Errors
Approximations to the Distribution Functions of the Ordinary Least-Squares and Two-Stage Least-Squares Estimators in the Case of Two Included Endogenous Variables
Roberto S. Mariano, Approximations to the Distribution Functions of the Ordinary Least-Squares and Two-Stage Least-Squares Estimators in the Case of Two Included Endogenous Variables, Econometrica, Vol. 41, No. 1 (Jan., 1973), pp. 67-77
Information Lost in Aggregation: A Bayesian Approach -- A Further Note
Note on Coefficient Restrictions in Estimating Sets of Demand Relations
The Exact Finite Sample Distribution of a Nonconsistent Structural Variance Estimator
[The exact finite sample properties of an asymptotically unbiased but nonconsistent estimator of a structural variance are examined briefly.]