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.
We've long noted that there is a 2 to 3 week lag between events like this occurring to when it shows up in the new jobless claims data. That's because most employers are "locked in" to their current payroll cycle - any employee retention decisions they make will take effect with their next payroll cycle. In the United States, with most employers issuing paychecks on an either weekly or biweekly basis, it then takes 2 to 3 weeks for the impact of any layoff decisions to fully show up in the data.
We say that this effect will be short lived, because the extra economic activity that might be associated with this positive factor will disappear after people begin receiving their 2013 paychecks, in which they will see a 2% reduction in their take-home thanks to the expiration of President Obama's Social Security payroll tax cut from 2011.
For a typical American household, that additional money now going to the U.S. government would be the rough equivalent of a sudden $1.40 per gallon increase in the price of motor gasoline in the United States.
The impact of that change will be progressively felt as employers change the amount of their tax withholding on behalf of the U.S. government in 2013. All paychecks should reflect the higher payroll tax by 15 February 2013 and most should see it for paychecks issued in mid-January.
Then again, the sudden dip in new jobless claims could be another data reporting problem, much like California's episode of incompetence back on 6 October 2012. Either way, we'll know what was behind the dip in new jobless claims within the next several weeks.
Labels: jobs
Welcome to the blogosphere's toolchest! Here, unlike other blogs dedicated to analyzing current events, we create easy-to-use, simple tools to do the math related to them so you can get in on the action too! If you would like to learn more about these tools, or if you would like to contribute ideas to develop for this blog, please e-mail us at:
ironman at politicalcalculations
Thanks in advance!
Closing values for previous trading day.
This site is primarily powered by:
CSS Validation
RSS Site Feed
JavaScript
The tools on this site are built using JavaScript. If you would like to learn more, one of the best free resources on the web is available at W3Schools.com.
Other Cool Resources
Blog Roll
