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The Structure of Simultaneous Equations Estimators
AbstractOptimal estimation is necessary for empirical modelling, but can be summarized in an estimator generating equation (EGE). The EGE reduces a vast literature on estimating individual equations and linear simultaneous systems to a single, simple expression based on the ‘score’, namely, the first derivative of the log‐likelihood function for full ...
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Simultaneous Pell equations [PDF]
This paper will discuss the solutions on the simultaneous Pell equations x2 − my2 = 1 and y2 − 11z2 = 1 where m is square free. By looking at the pattern of the solutions, some theorems will be developed. The solutions to these simultaneous equations are
M. A. M. Johari +5 more
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The effect of electronic money and new payment instruments on the monetary aggregation variables and the role of banks in inflation and liquidity [PDF]
Purpose: Economic policymakers consistently leverage monetary policies as a pivotal factor in achieving targeted economic goals, utilizing them as an influential driver for economic growth.
Ali Rahbar +3 more
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Simultaneous equations with covariance restrictions [PDF]
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Rothenberg, Thomas J., Ruud, Paul A.
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The system of double equations given by 2 3 x yz 3w , xy T is studied for obtaining its non-zero distinct solutions in integers.
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Model Persamaan Simultan pada Analisis Hubungan Kemiskian dan PDRB
Simultaneous model is a model for some equation which have simultaneous relationships. It was often found in econometrics, such as the relationship between Gross Domestic Regional Product (GDRP) and poverty. GDP is a common indicator that can be used to
Rokhana Dwi Bekti +4 more
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EMPIRICAL LIKELIHOOD ESTIMATORS OF THE LINEAR SIMULTANEOUS EQUATIONS MODEL [PDF]
Information theoretic estimators are specified for a system of linear simultaneous equations, including maximum empirical likelihood, maximum empirical exponential likelihood, and maximum log Euclidean likelihood.
Judge, George G. +2 more
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Semiparametric Bayesian inference in multiple equation models [PDF]
This paper outlines an approach to Bayesian semiparametric regression in multiple equation models which can be used to carry out inference in seemingly unrelated regressions or simultaneous equations models with nonparametric components.
Poirier, Dale J. +2 more
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On the Nonparametric Identification of Nonlinear Simultaneous Equations Models: comment on B. Brown (1983) and Roehrig (1988) [PDF]
This note revisits the identification theorems of B. Brown (1983) and Roehrig (1988). We describe an error in the proofs of the main identification theorems in these papers, and provide an important counterexample to the theorems on the identification of
C. Lanier Benkard, Steven Berry
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