Exploratory factor analysis (EFA) is an important tool in data analyses, particularly in social science. Usually four steps are carried out which contain an large number of options. One important option is the number of factors and the association of variables with a factor. Our tools aim to...

We develop a technique for analyzing the response dynamics of economic variables to structural shocks in linear rational expectations models. Our work differs fromstandard SVARs since we allow expectations of future variables to enter structural equations. We show how to estimate the...

A number of authors have attemted to test whether the U.S. economy is in a determinate or an indeterminate equilibrium. We argue that to answer this question, one must be impose a priori restrictions on lag length that cannot be tested. We provide examples of two economic models. Model 1...

We study identiÞcation in a class of three-equation monetary models. We argue that these models are typically not identiÞed. For any given exactly identiffed model, we provide an algorithm that generates a class of equivalent models that have the same reduced form. We use our algorithm to...

Innovation is a multilevel phenomenon. Not only attributes of firms but also the framework conditions within which firms operate matter. Although this has been recognized in the literature for a long time, a quantitative test that explicitly considers this hypothesis has been lacking. Using a...

The main purpose of this paper is to analyze patterns of non-response in the social survey and to evaluate its effect on potential biases on satisfaction from life. An additional purpose is to apply the method of mixed regression, which combines the method of Ordinary Least Squares with Gini...

The main objective of the study was to develop and present a system of differential equations modeling COVID-19 transmission dynamics in the province of Pampanga. We modeled COVID-19 using the given observed data. An SIRD model was developed, which was based on the SIR model developed by Kermack...

With the on-going expansion of renewable energy generation, short-term trading, notably in intraday markets, becomes increasingly relevant to cope with forecast updates for renewable infeed's. In this context, we develop a multivariate model of wind forecasting trajectories in order to support...

This paper carries out an empirical assessment of the causal nexus connecting social capital's diverse aspects to the "quality" of economic development in Italy. The analysis accounts for three main social capital dimensions (i.e., bonding, bridging and linking social capital) and measures them...

We study the cross-sectional dependence properties of a partial correlation network model with sparse power-law structure. We show that when the degree distribution of the network is power-law, the system exhibits a high degree of collinearity. More precisely, the largest eigenvalues of the...