The growth of the Internet of Things (IoT) has accelerated digital transformation processes in organizations and cities. However, it has also opened new security challenges due to the complexity and dynamism of these systems. The application of security risk analysis methodologies used to...

Discrete choice experiments are an important method to derive willingness-to-pay estimates for non-market goods. Several studies have shown that willingness-to-pay estimates derived from discrete choice experiments can be sensitive to the order of the presented choice tasks or the size of the...

We explore the performance of mixed-frequency predictive regressions for stock returns from the perspective of a Bayesian investor. We develop a constrained parameter learning approach for sequential estimation allowing for belief revisions. Empirically, we find that mixed-frequency models...

Interpersonal heterogeneity in risk attitudes is a regular feature of experimental data on decision making under risk. Despite a growing consensus on the use of the random coefficient or hierarchical model to accommodate this heterogeneity, there is a burgeoning Bayesian-classical divide...

Accounting parameters such as earnings response coefficients (ERC) are generally heterogeneous across firms. When panel data is available, the parameters are typically estimated using OLS with either pooled data which ignores parameter heterogeneity, or using firm-specific observations which...

Bayesian statistics is a framework for combining new data with existing forms of information to yield more precise inferences than is possible using the data alone. Its greatest practical advantages are the flexibility it offers in incorporating prior information and beliefs, modeling...

This study aims to accomplish three main tasks. Firstly, it seeks to determine the more appropriate choice between classical and Bayesian methods in estimating a pooled panel kink regression model under the condition of a known but bounded policy variable choice that serves as a kink point....

Even though mortality differentials by socio-economic status and educational attainment level have been widely examined, this research is often limited to developed countries and recent years. This is primarily due to the absence of consistently good-quality inherent data. Systematic studies...