📊 Effective economic modeling relies heavily on quality data. Based on my experiences, here are the sources I trust the most: 🏛 Government Databases: They provide reliable, comprehensive statistics that form the backbone of sound analyses. 📚 Academic Research: Offers innovative methodologies and deep insights that are crucial for developing robust models. 📈 Industry Reports: Essential for understanding current market trends and making informed predictions. 💡 These sources consistently deliver the most impactful insights for projects. #EconomicModeling #DataScience #Analytics

In my opinion when it comes to economic modeling, having the right data sources is crucial. Here are some examples that could be top data sources to prioritize for maximum impact: 1* Government Sources A comprehensive catalog of government data, including financial and economic datasets. 2* Bureau of Labor Statistics: Provides data on employment, inflation, and productivity. 3* Federal Reserve System: Offers data on interest rates, banking, and monetary policy. Also can be very helpful information from international sources like the IMF and the World Bank

World Bank (WB): Provides NPL ratios, interest rates, and economic indicators. International Monetary Fund (IMF): World Economic Outlook and Financial Soundness Indicators. Bank for International Settlements (BIS): Global financial stability reports and banking regulations. Federal Reserve Economic Data (FRED): U.S. financial and economic indicators, useful for benchmarking.

When it comes to economic modelling, credible and reliable data are valuable, as well as a solid methodology. Government databases and sources provide useful statistics, facts and figures. Therefore, in my humble opinion they consist the basis of all models. Moreover, examining the aspect of methodology, academic analysis is an excellent source.