A manual is designed to support and help the basic concepts of statistics and its implications in econometric, beside this, interpretation of further statistical techniques have been shown as well by illustrations and graphical methods. It is comprised on several instances of test, obtained from...

Out-of-Stock along the Supply Chain is a frequent phenomenon with significant effects on sales and total profit in retail industry. Therefore, in this context, decision support information to identify the duration and extent of this Out-of-Stocks as well as about possible structures inside...

Human resources management has become one of the most important leverages in organizations for gaining competitive advantage. However, human resources management is in many occasions prone to nonlinear feedbacks with delayed effect. Burnout effect is one of the problems that are especially often...

This paper discusses two alternative two-part models for fractional response variables that are defined as ratios of integers. The first two-part model assumes a Binomial distribution and known group size. It nests the one-part fractional response model proposed by Papke and Wooldridge (1996)...

The Western Balkans integration within the EU has started a legal process which is the rejection of former communist legal/political approaches and the transformation of former communist institutions. Indeed, the EU agenda has brought vertical/horizontal integration and Europeanization of...

Although economic processes and systems are in general simple in nature, the underlying dynamics are complicated and seldom understood. Recognizing this, in this paper we use a nonstationary-conditional Markov process model of observed aggregate data to learn about and recover causal influence...

This paper proposes plug-in bandwidth selection for kernel density estimation with discrete data via minimization of mean summed square error. Simulation results show that the plug-in bandwidths perform well, relative to cross-validated bandwidths, in non-uniform designs. We further find that...

The SAR model is widely used in spatial econometrics to model Gaussian processes on a discrete spatial lattice, but for large datasets, fitting it becomes computationally prohibitive, and hence, its usefulness can be limited. A computationally-efficient spatial model is the spatial random...

A large number of nonlinear conditional heteroskedastic models have been proposed in the literature. Model selection is crucial to any statistical data analysis. In this article, we investigate whether the most commonly used selection criteria lead to choice of the right specification in a...

In modelling macroeconomic time series, often a monthly indicator of global real economic activity is used. We propose a new indicator, named World steel production, and compare it to other existing indicators, precisely the Kilian's index of global real economic activity and the index of OECD...