The nominal GDP (NGDP) gap, a measure of unexpected changes in the dollar size of the US economy, is calculated as the percentage difference between the actual and the neutral levels of NGDP. The neutral level of NGDP, in turn, is a sum of all dollar spending, or equivalently all dollar income, expected by households and businesses coming into a specific time period and is created using data from consensus forecasts. In the third quarter of 2022, the median NGDP gap rose to 5.45 percent, up marginally from the previous quarter’s value of 5.21 percent.
The 5.45 percent NGDP gap means that the dollar size of the economy, $25.66 trillion, was about $1.33 trillion greater than its expected size of $24.34 trillion. Moreover, it was also greater than the 10th and 90th percentiles of the neutral level of NGDP, which shows that this gap was significantly different from zero during this time. This means aggregate spending and income in dollar terms were materially higher than their expected values and that monetary conditions continued to marginally ease in the third quarter of 2022 despite the interest rate hikes by the Federal Reserve.
A forecast of the NGDP gap shows that it will stay positive but begin to shrink in the fourth quarter of 2022 on a long return trip to zero. This forecast, however, has wide prediction intervals, which means it is very uncertain. Also, the projected NGDP gap is conditional on NGDP forecasts from early October, which will likely be lowered as the Federal Reserve’s interest rate hikes continue to slow down the economy.
A Closer Look at the NGDP Gap
As noted, the NGDP gap requires an estimate of the neutral level of NGDP. The neutral level of NGDP is estimated by taking an average forecast of NGDP, or total nominal income, for a given quarter based on forecasts for that period from the preceding 20 quarters. The forecast data used here are taken from the Federal Reserve Bank of Philadelphia’s Survey of Professional Forecasters.
The NGDP gap measures the percentage difference between this average forecast and the actual level of NGDP. If actual NGDP is significantly less than the neutral level, then monetary conditions are contractionary. If actual NGDP is significantly greater than the neutral level, then monetary conditions are expansionary.
The rationale for this understanding is twofold. First, members of the public make many economic decisions, such as whether to take out a mortgage or a car loan, on the basis of forecasts of their nominal income. Similarly, firms may finance with debt and commit to multiyear contracts on plants, raw materials, and labor on the basis of forecasts of their nominal income. Second, actual nominal incomes may turn out to be very different from what are expected and, as a result, may be disruptive for households and firms that are not able to quickly adjust their economic plans. These disruptions can be avoided by maintaining total nominal income or NGDP on the growth path expected by the public. In other words, the Federal Reserve should aim to close the NGDP gap in order to keep monetary conditions neutral.
To ensure robustness, I create a data series using real-time actual NGDP data (which are revised later). This series is called the vintage NGDP gap, and it contains initial-release NGDP data for each quarter that can be used to construct an NGDP gap. In other words, it shows the NGDP gap policymakers would have seen in real time, given the initial NGDP data. In addition, I create a second version of the NGDP gap, the Blue Chip NGDP gap, using the Blue Chip Economic Indicators instead of the Survey of Professional Forecasters. This measure provides a cross-check on the use of the latter source as a main indicator. I also use the Blue Chip Economic Indicators, which are updated every month, to create the monthly forecasts of the NGDP gap. All of these series—the vintage NGDP gap, the Blue Chip NGDP gap, the forecasted NGDP gap, and the regular NGDP gap—can be downloaded from the NGDP gap webpage hosted by the Mercatus Center at George Mason University.