Innovation ecosystems use R&D inputs to generate innovation outputs first and innovation impacts later. But some countries show a relatively low transmission, such as in the case of Kazakhstan, the largest economy in Central Asia. This article analyzes the transmission from R&D into innovation...

The size of the effect of the difference in two groups with respect to a variable of interest may be estimated by the classical Cohen’s d . A recently proposed generalized estimator allows conditioning on further independent variables within the framework of a linear regression model. In this...

The demand for rental bikes in urban areas fluctuates, leading to localized surpluses and shortages. To address this challenge, effective bike relocation strategies are essential for ensuring equitable distribution and maximizing customer satisfaction. This study aims to employ advanced machine...

Background It is a well-known phenomenon that nonlinearities that are inherent in the relationship among economic variables negatively affect the commonly used estimators in the econometric models. The nonlinearities cause an instability of the estimated parameters that, in particular, are...

We put our hypothesis very straightforward, considering the euro area and the whole European Economic and Monetary Union (EMU) banking sector. The paper's central hypothesis that capital adequacy of the EMU banking sector influenced credit growth and activities in the nonfinancial sector was...

Analyzing financial accounting transactions is essential for gaining valuable hidden insights, optimizing performance, reducing expenses by identifying more efficient methods of conducting business operations, and improving profitability and bottom line. This study uses exploratory data analysis...

Background: Finding trends in freight transportation activities enables businesses and policy makers to build an understanding of freight transportation patterns and their impact on logistics planning when making investments in a region's transportation infrastructure and intermodal freight...

Product perishability is an important problem in Pharmaceutical Supply Chains (PSC). Demand perishability and unpredictability add enormous complexity to successfully implementing efficient Pharmaceutical Supply Chain Network Design (PSCND). This study develops a mathematical model for the...

The main challenge in empirical asset pricing is forecasting the future value of assets traded in financial markets with a high level of accuracy. Because machine learning methods can model relationships between explanatory and dependent variables based on complex, non-linear, and/or...

E-commerce technologies are increasingly adopted and used because they give companies a competitive edge and boost their profitability through access to international markets. Even though global e-commerce has grown over the past few years, many consumers lack confidence in e-commerce purchases....

We put our hypothesis very straightforward, considering the euro area and the whole European Economic and Monetary Union (EMU) banking sector. The paper's central hypothesis that capital adequacy of the EMU banking sector influenced credit growth and activities in the nonfinancial sector was...

This study offers an in-depth analysis of labour productivity of manufacturing sector in Turkey and provides a comparison with EU27 and EA19 countries utilizing Eurostat time series data of 63 quarters covering 2005/first quarter-2020/third quarter time interval. Productivity trends are...

The past decade has witnessed significant turmoil and political conflicts in several Middle Eastern countries, such as Egypt, Syria, and Libya, called the Arab Spring. These revolutions did not only affect the countries mentioned previously; their neighboring countries were also directly...

This study offers an in-depth analysis of labour productivity of manufacturing sector in Turkey and provides a comparison with EU27 and EA19 countries utilizing Eurostat time series data of 63 quarters covering 2005/first quarter-2020/third quarter time interval. Productivity trends are...

This paper proposes a minimum distance (MD) estimator to estimate panel regression models with measurement error. The model considered is more general than examined in the literature in that (i) measurement error can be non-classical in the sense that they are allowed to be correlated with the...

We use supervised learning to identify factors that predict the cross-section of returns and maximum drawdown for stocks in the US equity market. Our data run from January 1970 to December 2019 and our analysis includes ordinary least squares, penalized linear regressions, tree-based models, and...

This paper proposes a minimum distance (MD) estimator to estimate panel regression models with measurement error. The model considered is more general than examined in the literature in that (i) measurement error can be non-classical in the sense that they are allowed to be correlated with the...

Solving problems related to econometrics requires a good knowledge of regression analysis concepts. The objective of this study is to evaluate students' difficulties resulting from the lack of knowledge of regression analysis concepts among economics students enrolled in the Master's cycle at...

The effects of economic contractions experienced during pandemic periods on different income sectors and country groups in terms of income inequality are not homogeneous. Due to the fact that COVID-19 has deeply affected the lives of the poor, immigrants, refugees, the homeless, seasonal workers...

This special issue of Business Systems Research (SI of the BSR) is being co-published by the Slovenian Society INFORMATIKA - Section for Operational Research (SSI -SOR). It focuses on recent advances in Operations Research and Management Science (OR / MS), with a particular emphasis on linking...

Marketing researchers are increasingly taking advantage of the instrumental variable (IV)-free Gaussian copula approach. They use this method to identify and correct endogeneity when estimating regression models with non-experimental data. The Gaussian copula approach's original presentation and...

The significance of the pharmaceutical and commercial sectors in the national economy has noticeably intensified, as a result of the COVID-19 pandemic. The main objective of this study was to gain a better insight into the main management characteristics of the actors in the sector. It was...

This study aimed to examine the customer interest in using rooftop PV considering the economic background and customer profile in Indonesia's electricity market using primary survey data with potential and existing (households and industries) respondents. This research uses logit model...

The objective of the study conducted by the authors is the analysis of the impact of two indicators - the total value of investments and the real cost of labor - on the indicator total employability, in the current economic context, marked by the COVID-19 pandemic. To achieve this goal, the...

There is no available Prais-Winsten algorithm for regression with AR(2) or higher order errors, and the one with AR(1) errors is not fully justified or is implemented incorrectly (thus being inefficient). This paper addresses both issues, providing an accurate, computationally fast, and...

Im Allgemeinen nutzen Forscherinnen und Forscher Daten-Transformationen als Hilfsmittel für die wissenschaftliche Arbeit unter den klassischen und linearen gemischten Regressionsmodellen, anstatt neue Theorien zu entwickeln, komplexe Methoden anzuwenden oder Softwarefunktionen zu erweitern....