What datasets and models measure intangible capital flows and forecast inequality

[Victoria27]

I'm an economics graduate student developing a research proposal on the long-term drivers of global inequality, specifically focusing on the divergence between capital returns and wage growth over the last fifty years. While Piketty's work is foundational, I'm interested in more granular, contemporary factors like intellectual property rents, financialization, and the globalization of supply chains. For researchers or policy analysts in this field, what are the most promising yet under-explored datasets or methodological approaches for measuring these intangible capital flows? How do you effectively model the interaction between technological change, tax policy, and educational access across different national contexts to predict future inequality trends rather than just describe past ones?