Our research group specializes in applying quantitative methods to contemporary financial issues. We use a variety of tools and resources to collect, analyze, and interpret data, ensuring that our research is rigorous and our findings are impactful for policy and decision-making. The following sections provide a comprehensive description of the tools and resources we employ to deepen our analyses, facilitate comparisons, and provide nuanced insights into the financial trends we examine.
Statstical software:
Our quantitative analysis relies on powerful statistical software, including SAS, STATA, and E-views. These applications are employed to conduct empirical analysis and estimate various econometric models. This includes, but is not limited to, panel and time-series models, the Generalized Method of Moments (GMM) model, and the Two-Stage Least Squares (2SLS) method.
Databases for Qualitative and Quantitative Research
Our research relies on a variety of databases to ensure the reliability and validity of our quantitative analysis. We source secondary data from several key platforms, including: