This contribution studies the application of heteroskedasticity robust estimation of Vector-Autoregressive (VAR) models. VAR models have become one of the most applied models for the analysis of multivariate time series. Econometric standard software usually provides parameter estimators that...

I/O models have been widely used to assess the impacts of many changes in an economy. An I/O model is also an important tool to make forecasts and the results from an I/O model are very helpful in many policy-making processes. Many scientific findings in economics have to give credit to the I/O...

This paper extends previous studies in modeling and estimating energy demand functions for both gasoline and kerosene petroleum products for Nigeria from 1977 to 2008. In contrast to earlier studies on Nigeria and other developing countries, this study specifically tests for the possibility of...

Cost plays a prominent decision making role in the life of an individual and organisation because it is a central focus of daily financial activities. In any financial engagement, usually for a reward, the costs that are incidental to the engagement could be broadly analysed into material,...

Introduction: Common approaches in cost-effectiveness analyses do not adjust for confounders. In nonrandomized studies this can result in biased results. Parametric models such as regression models are commonly applied to adjust for confounding, but there are several issues which need to be...

In this paper, using the MCMC method, we derive the conditional distribution of "mean variance" variable. This random variable appears in the option pricing problem under the stochastic volatility assumption. Two real data sets are considered. -- conditional distribution ; equity returns ; MCMC...

The subject of interrelationship that exists between foreign direct investment (FDI) and standard of living has been an issue of both theoretical and empirical investigations. This study, thus examined the relationship between foreign direct investment and standard of living measured by per...

Econometric models, in the estimation of real estate prices, are a useful and realistic approach for buyers and for local and fiscal authorities. From the classical hedonic models to more data driven procedures, based on Artificial Neural Networks (ANN), many papers have appeared in economic...

Mit der wirtschaftlichen Integration Chinas in die Weltwirtschaft entsteht ein neues Wachstumszentrum, das die globale Konjunktur maßgeblich beeinflussen kann. So könnten starke Produktionszuwächse in China dazu beitragen, eine schwächelnde Konjunktur in den Industrieländern zu stützen. In...

This study attempts to examine the price discovery process and volatility spillovers in Gold futures and spot markets of National Commodity Derivatives Exchange (NCDEX) by employing Johansen’s Vector Error Correction Model (VECM) and the Bivariate ECM-EGARCH(1,1) model. The empirical result...