Many statistical analyses are based on models containing systems of structurally related equations. In cases where cross-equation disturbances are correlated, full information methods are required (Zellner, 1962). If exogenous variables are stochastically dependent on the disturbances in the...

Using some special models, this study tries to quantify the size of underground economy in Romania. The exposition plan includes: 1) Models based on direct approaches; 2) Models based on indirect approaches; 3) A generalised model for the allocation of time; 4) A model based on May’s logistic;...

This paper studies the sequential sampling scheme as a solution to the problem of aliasing, where the sampling interval is restricted to a minimum allowable value. Sequential sampling is analyzed and it is proved that when the sampling ratio is an integral number, the associated spectral...

We study the distributions of the LASSO, SCAD, and thresholding estimators, in finite samples and in the large-sample limit. The asymptotic distributions are derived for both the case where the estimators are tuned to perform consistent model selection and for the case where the estimators are...

The paper draws a general framework for asset and default dynamics, separating the influence of the economic cycle into a component which is embedded in the rating system and an unobservable risk factor that determines the movements of defaults around the ex ante estimated PDs. The two...

Theoretical constraints on economic model parameters often are in the form of inequality restrictions. For example, many theoretical results are in the form of monotonicity or nonnegativity restrictions. Inequality constraints can truncate sampling distributions of parameter estimators, so that...

Results in this paper support evidence of time-varying beta coefficients for five sectors in Kuwait Stock Market. The paper indicates banks, food, and service sectors exhibit relatively wider range of variation compared to industry and real estate sectors. Results of time-varying betas...

Variance targeting estimation is a technique used to alleviate the numerical difficulties encountered in the quasi-maximum likelihood (QML) estimation of GARCH models. It relies on a reparameterization of the model and a first-step estimation of the unconditional variance. The remaining...

This paper considers a class of finite-order autoregressive linear ARCH models. The model captures the leverage effect, allows the volatility to be zero and to reach its minimum for non-zero innovations, and is appropriate for long-memory modeling when infinite orders are allowed. It is shown...

This paper estimates the conditional volatility of the main Brazilian stock market index (Ibovespa), using traditional models of the GARCH family and models of stochastic volatility (SV). Most model selection and performance criteria suggest that both aproaches capture well Ibovespa's...