Why doesn't the US subscribe to the "two negative quarters of growth" standard?
Let me answer this first providing some context that I believe will help understand the main question and then the question itself.
Context
First, let me start by mentioning very important context for this question. The "two negative quarters of growth" is actually not generally accepted standard for defining a recession. It is correct to say it is the common definition but it is far from only or a standard definition used in economics (see Blanchard et al Macroeconomics: A European Perspective pp 572).
In fact in economics there is general consensus that using two negative quarters of growth is actually a bad definition of recession, rather it is commonly used because it is very practical and has very little room for subjectivity. First, the current GDP data are just estimates that will not be fully settled before at least 5 years will pass when we get the actual GDP measures after all revisions. Second, recessions are not a uni-dimensional. For example, there is small drop in GDP over 2 quarters (e.g. -0.01%) and labor markets are booming many economists would not consider it recession. Recession is decline in economic activity, and while GDP is the most comprehensive measure of economic activity it is far from the only measure of economic activity.
As a consequence, large number of research papers (even outside US) actually relies on NBER-like definitions of recession. For example, IMF an international organization, also has NBER-like definition of recession that uses various indicators (see IMF). Hence, saying that 2 quarters of negative GDP growth is standard is at least a bit misleading. This would be akin to saying standard human language is English because when we include not just native but also non-native speakers it is the most spoken language on earth, with estimated 1,132 million speakers according to Berlitz, ignoring that the second most spoken language Chinese is right there behind English with estimated 1,117 million speakers.
Main Answer
To understand why US uses the NBER definition we have to go through short history of recession dating.
In mid 20'th century recession dating was a bit of a wild west, as there were no generally accepted definition. The two quarters of negative GDP growth come from article by Julius Shiskin in The New York Times in 1974. The article provided whole list of various recession indicators, the two quarters of negative GDP growth was just one of many and it was always intended to be a rule of thumb, not a hard rule. Over years this rule of thumb became quite popular while other rules of thumb he advocated were forgotten.
The NBER business cycle dating has actually more richer tradition. The first time NBER dated business cycles in the US was in 1929, although at the time it was not official definition. The first time we can consider NBER definition to be official/quasi-official was in 1961 when US Department of Commerce launched the monthly Business Cycle Developments publication that was using NBER definition, even though this was done without explicit endorsement (See NBER).
The NBER business cycle committee was set up in 1978. This was just 4 years after Shiskin published his influential article and at that time the two quarters of negative GDP growth was not as popular as it became later. The NBER members must have been aware of Shiskin's article (he was quite famous business/economic statistician, working as chief statistician for Census Bureau), yet they decided not to use his rule of thumbs (although they were perhaps somewhat inspired by his article since the other Shiskin's rules of thumb also talk about diverse set of indicators).
This was likely because the NBER economists must have also been aware of all the methodological problems the two quarter rule has. As already previously motioned the two quarter rule has some significant drawbacks. According to Klaus & Wolfgang 2008 the main
disadvantage of the Shiskin rule is that the
rate of change of the seasonally and calendar adjusted GDP go through erratic fluctuations due to subsequent data revisions, whereby a minus can easily
become a plus.
This can easily lead to wrong identification of recessions. More complex multi-dimensional rules such as the NBER one can be more precise because they consider numerous factors (e.g. accurate employment figures are usually faster than GDP ones). Indeed, the NBER measure of recession has been generally vindicated by more complex recession dating algorithms (e.g. see Leamer 2008).
The only significant flaw of the NBER dating procedure is that indeed it is a bit (but not completely) subjective. However, NBER dating committee consist of top economists that have their reputation at a stake. Also, while currently (at least from what I can see as European observer) US society and academia seem to be highly politically polarized it did not used to be so. Today people might perhaps reasonably worry about White House putting political pressure on NBER, but I do not think such thing would be thinkable even 5 years ago. After all NBER is calling recessions in the US already for over half of a century, yet their definition became controversial only now in 2022.
Summary
Hence the reason why US does not use the "two negative quarters of growth" definition are as follows:
- NBER was already quasi-official arbiter of recessions in the USA ever since 1961. Hence NBER system has longer tradition in the US (even though the NBER definition slightly evolved since).
- NBER definition is considered to be (at least from academic perspective), methodologically superior definition of recession despite of being more subjective. Hence there is rational argument to be made for continuing to prefer this measure over less sophisticated (albeit more objective) rules of thumb.
- The NBER committee consists of top US macroeconomists. Such people have reputations at stake. Historically, heck even 5 years ago, before current US political polarization of society, it would be unthinkable to accuse such a distinguished group of academics of political bias.