Saturday, February 14, 2009

Professor Nunes compares consumer activity across recessions

Professor Nunes writes:

"I agree that the Investment data do not point to a "credit crunch". But then there is consumption (Durables and Non Durables and Services separately). The fall in Durables Consumption is poised to be the worse over the last 5 recessions. Non Dur & Services is also not doing well (comparatively). Some could point to the behavior of Durables and say Credit Crunch on the consumer. More relevant, I think, is the steep drop in Consumer Confidence (influenced strongly by the employment situation. The 1990-91 recession, although short, had a similar effect on Cons Conf and overall consumption flagged. This was not so evident in the other recessions."


I see three possible factors that would reduce consumption:



  1. wealth effect of (technology components of) the housing crash (Luke Threinen and I estimate this to be about 3 percent)

  2. substitution effect from labor market distortions (I have not quantified this yet -- but guess maybe 1 percent)

  3. credit crunch

As long as (1) and (2) are real, evidence on low consumption does not convince me of the existence of a credit crunch. In fact, I were told that the credit crunch were affecting consumption, I'd be surprised that consumption hadn't fallen MORE. For credit crunch impacts, I look to the investment data because they are much less affected by (1) and (2).

1 comment:

Tino said...

http://www.federalreserve.gov/releases/h8/data.htm

Nice detailed data on US banking activity. It’s hard to detect any major credit crunch. For example:
Februari 4th commercial and industrial credit, seasonally adjusted, was 1571.9 billion, compared to 1580 billion October 2008.

Total credit is lower than the top in fall 2008, but 4.7% higher than same period last year.

I think there was a major shock to preferences and expectations (confidence) last fall, perhaps partially due to the fear of a credit crunch, but an actual credit crunch is almost impossible to detect in the data.

I think there was a major shock to preferences and expectations (confidence) last fall, perhaps partially due to the fear of a credit crunch, but an actual credit crunch is almost impossible to detect in the data.