In the present study are presented some investigations published on world periodic, which concern to whether the inherent non-stationaryity of macroeconomic time series is entirely due to a random walk or also to non-linear components. Applying the numerical tools of the analysis of dynamical...

This paper proposes a cumulative sum (CUSUM) based statistic to test if there is a common variance change-point in panel data models. Asymptotic distribution is derived under the null hypothesis and the consistency of the test is proven under the alternative hypothesis. Monte Carlo experiment is...

Randomized controlled trials (RCTs) are considered the gold standard in estimating treatment effects. When an RCT is infeasible, regression modeling or statistical matching are often used instead. Nonexperimental methods such as these could produce unbiased estimates if the underlying...

We propose quasi maximum likelihood (QML) estimation of dynamic panel models with spatial errors when the cross-sectional dimension n is large and the time dimension T is fixed. We consider both the random effects and fixed effects models, and prove consistency and derive the limiting...

This study investigates multiple changes in persistence in the dividend–price and price–earnings ratio of the NASDAQ Composite Index. Recent time series methods that are capable of signalling and dating asset price bubbles are employed, in particular the method developed by Leybourne, Kim,...

This paper introduces two new commands, smpred and smmatch, that implement the statistical matching procedure proposed by Rubin (1986). The purpose of statistical matching in Rubin's procedure is to generate a single dataset from various datasets, where each dataset contains a specific variable...

R is open source software environment (and language) for statistical computing and graphics. Different surveys are showing R's popularity has increased substantially in recent years, especially in academic environment. Therefore, at the beginning main advantages and comparison to commercial...

The paper deals with the issues of gravity models applied in the field of trade flow analysis. Applied variables, assumptions of their impacts, problems of gravity equations and their resolving (namely the endogeneity problem, the heterogeneity problem, and the identification problem) are...

Farmers earn their main income from selling agricultural commodities. Stability as well as the level of income are determined by the amount of production and market prices. Prices and price policies on the agricultural market could have a great impact on the success of programmes themselves....

The article is devoted to the analysis of the impact of information and communication technologies (ICT) on labour productivity and total factor productivity in the Czech Republic focusing on the period between the years 1995 and 2011. The authors follow the international methodology adapted to...