Dip for New Jobless Claims Likely Temporary

Since 23 September 2012, the weekly data for seasonally-adjusted new jobless claims has been especially volatile.

The data reported last week, which applies for the week ending 12 January 2013, would appear to be more of the same. At least, that's what you might first think when you see where the data falls with respect to our statistical equilibrium chart of the trends in new jobless claims.

It looks just like an outlier, right? And truth be told, it definitely is. However, this outlier is not like the others, where we were able to easily identify the cause of the discrepancy with respect to the trend.

Instead, we think something positive might be at work. If it's what we think it is, the low number of initial unemployment insurance claim filings will be with us for another week, which we'll find out later this morning. The bad news is that it won't continue to be with us for much longer than that.

That positive something else is gasoline prices hitting their lows for 2012 some two to three weeks earlier, between 22 December 2012 and 29 December 2012. Here, the national average for retail motor gasoline prices dropped below $3.25 per gallon but more significantly, it dropped near and below $3.00 per gallon in large sections of the United States.

After having been elevated well above that level for the past two years, that threshold might very well mark the point where consumers believe gasoline prices are low, which in turn, might spark extra spending on their part thanks to the related boost in their discretionary income. That in turn would lead employers to retain higher levels of their employees, which would result in a lower level for new jobless claims!

This is very much the flip side to our hypothesis that there is a "high" level for gas prices in the U.S., which we've observed to kick in around a national average price at the pump of $3.50 per gallon. At this level, employers react to consumers having less of their income to spend on other things and the resulting loss to their business revenue by laying off larger numbers of their employees.