Conditional heteroskedasticity in nonlinear simultaneous equations

Calzolari, Giorgio and Fiorentini, Gabriele (1994): Conditional heteroskedasticity in nonlinear simultaneous equations. Published in: Florence: European University Institute No. Working Paper ECO No. 94/44 (November 1994): pp. 1-19.

Abstract

We show in this paper that the treatment of conditional heteroskedasticity inside nonlinear systems of simultaneous equations is a sufficiently manageable matter for some types of multivariate ARCH error structures. Reparameterization makes it possible to estimate the model by means of the (nearly) standard algorithms developed in the past and widely used for estimating nonlinear simultaneous equations where the error structure is of the i.i.d. type with unrestricted contemporaneous covariance matrix. The method is discussed in this paper and empirical applications exemplify the efficiency gains.

• Item Type: MPRA Paper
• Language: English
• Keywords: Nonlinear simultaneous equations; conditional heteroskedasticity; instrumental variables; nonlinear FIML; demand supply model, long term treasury bonds
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General; C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General

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