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The Survey of Professional Forecasters (SPF) is a quarterly survey of macroeconomic forecasts for the economy of the United States issued by the Federal Reserve Bank of Philadelphia. It is the oldest such survey in the United States. The survey includes an "anxious index" that estimates the probability of a decline in real GDP. [1]
The Wall Street Journal Economic Survey, also known as the Wall Street Journal Economic Forecasting Survey, could refer to either the monthly or the semi-annual survey conducted by the Wall Street Journal of over 50 economists on important indicators of the economy of the United States.
Detailed coverage of the US economy, showing forecasts for 20 macroeconomic variables. In addition, monthly forecast data is also available for currency exchange rates as well as a range of commodity prices. These appear in Foreign Exchange Consensus Forecasts and Energy and Metals Consensus Forecasts.
The IMF's latest World Economic Outlook said the shifts will leave 2024 global GDP growth unchanged from the 3.2% projected in July, setting a lackluster tone for growth as world finance leaders ...
Blue Chip Economic Indicators is a monthly survey and associated publication by Wolters Kluwer collecting macroeconomic forecasts related to the economy of the United States. [1] The survey polls America's top business economists, collecting their forecasts of U.S. economic growth, inflation, interest rates, and a host of other critical ...
The World Bank upgraded its outlook for the global economy Tuesday, estimating that it will expand 2.6% this year on the strength of sustained growth in the United States. The bank's latest ...
much as $7 trillion of value to the North American economy, with $5 trillion of that accruing to the United States, including generating $1–$2 trillion in tax receipts to federal and local governments. Such a policy would also create millions of jobs rippling throughout the economy. While it would require substantial
A 2014 paper by Arai in the International Journal of Forecasting finds: "Using this [Patton and Timmerman (2012) forecast adjustment] method in a real-time out-of-sample forecasting exercise, I find that it provides modest improvements in the accuracies of the forecasts for the GDP deflator and CPI, but not for other variables. The improvements ...