Expert insights on economic data, data quality metrics, and how to find the best datasets for your research.
FRED is the gold standard for US economic data—but it has real limitations. Here's an honest comparison of FRED vs DataSetIQ for macro research, and who each is best for.
Food accounts for 40-60% of CPI in emerging markets versus 8-14% in developed economies. This asymmetry means FAO price spikes that barely register in Washington can trigger rate hikes in Cairo, Ankara, and Lagos. Here's how to track the data that central banks actually watch.
Nominal wage gains mean nothing if prices rise faster. Learn how to construct a real wage tracker using BLS and FRED data, interpret the signals that drive Fed policy, and avoid the measurement traps that mislead even seasoned analysts.
The Big Four central banks hold over $24 trillion in combined assets. Learn how to track Fed, ECB, BOJ, and BOE balance sheets with specific FRED and provider series codes, interpret divergence signals, and monitor global liquidity shifts that move every asset class.
The Sahm Rule triggered before every U.S. recession since 1970 with zero false positives. Here's how it works, why the 2024 trigger was different, and how to monitor it with the right datasets.
GDP data arrives weeks late. Nowcasting models estimate growth in real time using high-frequency indicators. Here's how the framework works, which datasets drive the estimates, and how to build your own tracker.
Koyfin is the most popular Bloomberg alternative for equity analysts. DataSetIQ is purpose-built for macro and economic research. Here's an honest comparison to help you choose.
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