In order to fully benefit from the advantages induced by artificial intelligence (AI) at the corporate level, business organisations should be well aware of the factors contributing to the proper AI specialisation of their employees. In this context, the present paper aims to examine the role of...

In this paper, I discuss three aspects of the Frisch-Waugh-Lovell theorem. First, I show that the theorem holds for linear instrumental variables estimation of a multiple regression model that is either exactly or overidentified. I show that with linear instrumental variables estimation: (a)...

We develop an estimation procedure of multiple regression function and its derivatives (formarginal e¤ects) based on multivariate maximum entropy (ME) density estimation. The relevantmoments and cross moments conditions are selected to be inlcuded in the inferred distribution.Finite sample and...

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...

Which strategic capabilities simultaneously drive innovation and learning from failures (LFF)? We address this question with two objectives. First, synergies between innovation performance, failures, and LFF strategies are assessed. Second, heterogeneities in the determinants of these processes...

Institutional investors increasingly value alternative assets in strategic asset allocation, with private debt emerging as a key asset class. However, its shortage of market history has hindered the development of standardized proxy benchmarks. For that, many institutional investors still do not...

The objective of anti-money laundering (AML) programs is to disrupt the financial infrastructure of criminal organizations, thereby seizing illicit assets and curbing the expansion of these criminal activities. This paper assesses the effectiveness of AML programs in curbing three distinct forms...

Empirical research in the social and medical sciences frequently involves testing multiple hypotheses simultaneously, increasing the risk of false positives due to chance. Classical multiple testing procedures, such as the Bonferroni correction, control the family-wise error rate (FWER) but tend...

In the present world where education is considered an important factor, all educational institutions are facing competition at a higher level. Students are diverted towards doing higher courses offered by numerous institutes, universities, and colleges, however with the increase in the number of...

This paper examines changes in the Greek wage distribution over 1995-2002 and the role of skills in these changes using a matched employer-employee data set. This data set enables us to account for firm heterogeneity and obtain a more refined picture of the impact of skills. The methodology...

Salts in the root zone have high spatial variability, changes rapidly and adversely affects soil quality and crop productivity. Rapid detection of electrical conductivity (EC) using visible-near infrared (Vis-NIR) and midinfrared (MIR) spectroscopy can alleviate the adverse effects on soil and...

We develop novel multivariate time series models using Bayesian additive regression trees that posit nonlinear relationships among macroeconomic variables, their lags, and possibly the lags of the errors. The variance of the errors can be stable, driven by stochastic volatility (SV), or follow a...

This research explores how one may predict the Gross Domestic Product (GDP) of a country using a technique known as multiple linear regression (MLR). Specifically, we explore whether other macroeconomic variables such as population, interest rates, unemployment rates, amongst others, can be used...

The correlation between instruments and explanatory variables is a key determinant of the performance of the instrumental variables estimator. The R-squared from regressing the explanatory variable on the instrument vector is a useful measure of relevance in univariate models, but can be...

This paper examines changes in the Greek wage distribution over 1995-2002 and the role of skills in these changes using a matched employer-employee data set. This data set enables us to account for firm heterogeneity and obtain a more refined picture of the impact of skills. The methodology...

Energy is a fundamental factor in economic development. Although in recent years there is a development in studies on an energy economics they are focused on specific energy sources. In this study natural gas, electricity and oil consumption which are the energy sources that the greatest market...

This paper extends wavelet methodology to handle co-movement dynamics of multivariate time series via moving weighted regression on wavelet coefficients. The concept of wavelet local multiple correlation is used to produce one single set of multi-scale correlations along time, in contrast with...

This work describes a versatile and readily-deployable sensitivity analysis of an ordinary least squares (OLS) inference with respect to possible endogeneity in the explanatory variables of the usual k-variate linear multiple regression model. This sensitivity analysis is based on a derivation...

There are many types of macroeconomics variables that can affect the stock return or stock market index in any countries around the world. For analyzing the effect of those variables, the paper uses industrial production, risk premium, unemployment rate, US currency strength, and interest rate...

The frequency, intensity and repercussions of information security breaches in higher education has prompted colleges and universities around the world to devote more resources to enhance technical and human controls capabilities. Research has repeatedly found that technical solutions to...

In this article, we attempt to clarify our statements regarding the effects of mean centering. In a multiple regression with predictors A, B, and A × B (where A × B serves as an interaction term), mean centering A and B prior to computing the product term can clarify the regression...

To model multivariate, possibly heavy-tailed data, we compare the multivariate normal model (N) with two versions of the multivariate Student model: the independent multivariate Student (IT) and the uncorrelated multivariate Student (UT). After recalling some facts about these distributions and...

Taking a simplified approach to statistics, this textbook teaches students the skills required to conduct and understand quantitative research. It provides basic mathematical instruction without compromising on analytical rigor, covering the essentials of research design; descriptive statistics;...

In simple least squares regression, formal choice of one of two candidate independent variables (IVs) may be done using a test due to Harold Hotelling. The null hypothesis is that each of the two candidate independent variables is equally correlated with the dependent. In this paper, Hotelling's...

We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence as univariate function estimation. For the...