In this paper, the Partial Distribution (PD) and multivariate Partial Distribution (MPD) are presented in their concepts, properties and applications, and PD is compared with the lognormal and the levy distribution. Though the levy distribution is better to describe the exchange returns in...

This article guides the reader through the seemingly simple issues of the assessment, protec-tion and transfer of the potentials of an object's functionality through its internal and external buffers, by employing Cartesian multiplication and signatures. The change in the potentials of buffers...

The aim of this research was determining the factors of growth in the textile and food sector of Pakistan. The research study analyzed data from the financial statements of textile and food sector companies of Pakistan for the period 2013-17. A fixed effect regression model was used for...

Industry 4.0 is related in each place and with the use and implementation of new technologies for the continuous improvement of administrative processes. As part of the growth of an organization, it is important that day by day it adapts to technological changes that affect worker operations or...

A common problem with differences-in-differences (DD) estimates is the failure of the parallel-trend assumption. To cope with this, most authors include polynomial (linear, quadratic…) trends among the regressors, and estimate the treatment effect as a once-in-a-time trend shift. In practice...

In this paper we develop a business cycle measure that can be shown to have excellent ex-ante forecasting properties for GDP growth. For identifying business cycle movements, we use a semantic approach. We infer nine different states of the economy directly from firms' responses in business...

We apply different matched-pair methods to evaluate the policy of sustaining the adoption of advanced manufacturing technologies by Swiss firms and we compare it in decomposing the selection bias. In this aim we present the evaluation problem, the decomposition of the selection bias and the...

Multivariate Adaptive Regression Spline (MARS) is a simple and powerful non-parametric technique that automatizes the selection of non-linear terms in regression models. Non-linearities and spatial effects are natural characteristics in numerous spatial hedonic pricing models. In this paper, we...

We use a unique dataset of bond downgrades from a niche rating company that has been found to be reacting faster to publicly available information than its competitors. Using regime-switching models we propose risk measures to quantify stock return disturbances (distress costs) associated with...

In this paper we measure the speed at which firms adjust to demand shocks using individual firm data. Identification of shocks is achieved by a combination of quantitative and qualitative judgments on capacity utilisation in micro survey data. A novel feature of our approach is the distinction...