Many moons ago, Hamilton suggested a weighted average of the two, saying it was more likely to be right than payrolls alone. When challenged, he said he could defend the blending of sufficiently similar measures straight out of any stats textbook. I don't recall him answering the suggestion that the payroll and household surveys may not be sufficiently similar to justify blending. Now, he wants to through in a third measure. This one is specifically designed to mimic the BLS private hiring series, and is doing a bad job of it. Again, I wonder whether there is any good justification for blending together surveys that aim in one case at measuring somewhat different things, and in the other case, blending a series which is manipulated with the aim of looking like BLS private hiring data, with BLS private hiring data.
We might just want to admit that the BLS payroll data, imperfect as they may be, are preferable to anything else we have or can concoct.
We might just want to admit that the BLS payroll data, imperfect as they may be, are preferable to anything else we have or can concoct.
That's kinda how I always looked at it - though who cares what I think .
The only justification for a 'blend' is if the different metrics measure the same thing but with a slightly different bias... then a blend will have a better shot at producing a meaningful measure of the attribute but at the cost of a slightly larger potential error (RMS of the individual errors if I recall my stats from a couple decades ago).
I think the failure of the blend is - as kharris points out - they don't really measure the same things, not exactly... To use the apples to oranges analogy... the blend measure fruits but is that what we want, or do we want apples or oranges? That is the first and most important question to ask & I don't see it asked.
I posted this same idea on Econbrowser long ago: these different surveys of employment are just that--surveys. What I'd like to see is NFP evolve to something more like a census to get rid of these endless revisions.
I'd expect most businesses to have computers by now for keeping in touch with customers via e-mail, etc. So it isn't a stretch if the Feds could tally employment by sending online forms every month to businesses. It won't take much for these firms to say we hired x people and lost y people twelve times a year. For more modest enterprises, it's reasonably cost-effective to give them $499 computers to send back employment data each month.
It makes sense to me. Let's use technology wisely.
Isn't ADP trying to forecast what BLS reports? If their forecasting is less than perfect, why should that surprise anyone? Heck Duncan Black would be rich right now if his underbet on the forecasts were actually made with money on the table. But THIS month, Duncan bet under and it went over.
Conclusion: "The results suggest that the current market disruption is short-term in nature, and stable market conditions will likely prevail by 2nd quarter to mid-year 2007 as economic growth continues, as housing supply (based upon permit issuances) declines, and as affordability improves."
I'm deeply suspicious of all these payroll reports now, but the ADP moreso after this month.
Maybe it will be vidicated by revisions.
I do think it's curious that the -40,000 ADP jobs report seemed to be substantiated by a couple of other indexes (that Hudson and Monster index). But that assumes they have merit...
Cal - interesting read. I think they got the idea right but are short on the time scale...
Looking at THIS chart I'd say it will take a couple years or more to get back to historical affordability... if the curves remain on that trendline. Obviously much sooner if prices drop a lot - I don't see interest rates going a lot lower or incomes increasing enough over 2007 to make a big difference.
And the Monster report: Our Apologies - KPLC 7 News, Lake Charles, Louisiana | Monster said its Employment Index fell 8 points to 167, down from 175 in November. It was 145 a year ago, reflecting a 15 percent increase for 2006.
"The indications are that job growth will continue to moderate in the beginning of 2007 but still be relatively healthy," said Steve Pogorzelski, group president of Monster Worldwide (MNST.O), parent company of Monster. "We see unemployment rates continuing to remain at historically low levels."
I also dont think they take into account the "Affordability" products and how they are keeping the ratio lower. But I like the idea of the graphs, they are a pretty good way of looking at the data under normal times.
If you look at price to income, you get a much bigger predicted drop for reversion to the mean (like 90%), than if you look at mortgage cost to income (about 18%), I think this reflects the IO/neg-am loans in the market.
The Hudson survey and Monster report did not support the ADP number.
I guess because the headline numbers were all negative they got reported together in a couple of articles "ADP jobs decline 40k, Monster Employment Index declines 8 points, Hudson Index down 2.6 points!!!!"
I admit there was perhaps a lack of due diligence on my part.
I never would have suspected that it's so difficult to come up with a clear picture of employment changes, especially given how decisivly markets respond to these reports.
First, ADP uses census data from its customers. Although this is survey data from a larger population, the quality of the data is probably quite good because it reflects real payrolls, not reported payrolls.
Also, ADP said during the release (I saw it on CNBC) that the December numbers are their noisiest, and probably wouldn't correlate well to the BLS number. Over time it certainly correlates, but it's just more noisy.
Finally, I don't know about the Monster numbers . . . I always wonder how much growth in the Monster numbers is due to the relentless push towards using online sources to find jobs (i.e., vs traditional media).
well said jerseyboy. i actually work for adp and the sampling is from actual payrolls. remember folks we do almost 20% of all US-based payrolls so its got to be taken into consideration. in addition the bls survey is a much larger sampling. the way to approach it is to blend/weight results from multiple data points.
i actually work for adp and the sampling is from actual payrolls. remember folks we do almost 20% of all US-based payrolls so its got to be taken into consideration.
Thanks Richard - one question, does your sample 'map' accurately to the whole 'universe' of companies covered by the BLS? Do they test for fit of the 'map'?
I say that 'cause I would guess you do more payrolls for some types of companies than others (say differentiated by size, geographic location, SIC segment, etc.)...
I would also guess that there are differences between employment/layoff rates among these different segments.
Considering that 'job gains/job loss' is the sum of then difference between pretty large sets of numbers I would not be surprised at all that there might not be agreement - yet both methodologies could still be 'right' for the purpose they were intended.
Could you shed some light on this - without say getting yourself in hot water should this forum be 'monitored'?
FICA receipts ought to be an accurate gauge of the compounded effects of wage and employment increases. Oddly, the SS website seems to divulge only how many are collecting benefits, not how many SSNs are getting FICA contributions.
dryfly, since we do 20% of all payrolls you can safely assume we have a good cross section of coverage of private companies in terms of size, geography and industry. also note that adp doesn't actually produce the algorithms that arrive at the #'s. that's done by a partner who takes our data. the adp number is but one of 3 data points that's blended together and then called the ADP report. I will admit some of it has to do with marketing. We do payroll, how much press coverage would that typically generate?
There are more than one or two parties making up numbers on employment. We discovered a several "invented" categories in our local paper's supposedly objective report on Santa Clara County housing.
Many moons ago, Hamilton suggested a weighted average of the two, saying it was more likely to be right than payrolls alone. When challenged, he said he could defend the blending of sufficiently similar measures straight out of any stats textbook. I don't recall him answering the suggestion that the payroll and household surveys may not be sufficiently similar to justify blending. Now, he wants to through in a third measure. This one is specifically designed to mimic the BLS private hiring series, and is doing a bad job of it. Again, I wonder whether there is any good justification for blending together surveys that aim in one case at measuring somewhat different things, and in the other case, blending a series which is manipulated with the aim of looking like BLS private hiring data, with BLS private hiring data.
We might just want to admit that the BLS payroll data, imperfect as they may be, are preferable to anything else we have or can concoct.
We might just want to admit that the BLS payroll data, imperfect as they may be, are preferable to anything else we have or can concoct.
That's kinda how I always looked at it - though who cares what I think
.
The only justification for a 'blend' is if the different metrics measure the same thing but with a slightly different bias... then a blend will have a better shot at producing a meaningful measure of the attribute but at the cost of a slightly larger potential error (RMS of the individual errors if I recall my stats from a couple decades ago).
I think the failure of the blend is - as kharris points out - they don't really measure the same things, not exactly... To use the apples to oranges analogy... the blend measure fruits but is that what we want, or do we want apples or oranges? That is the first and most important question to ask & I don't see it asked.
I posted this same idea on Econbrowser long ago: these different surveys of employment are just that--surveys. What I'd like to see is NFP evolve to something more like a census to get rid of these endless revisions.
I'd expect most businesses to have computers by now for keeping in touch with customers via e-mail, etc. So it isn't a stretch if the Feds could tally employment by sending online forms every month to businesses. It won't take much for these firms to say we hired x people and lost y people twelve times a year. For more modest enterprises, it's reasonably cost-effective to give them $499 computers to send back employment data each month.
It makes sense to me. Let's use technology wisely.
Isn't ADP trying to forecast what BLS reports? If their forecasting is less than perfect, why should that surprise anyone? Heck Duncan Black would be rich right now if his underbet on the forecasts were actually made with money on the table. But THIS month, Duncan bet under and it went over.
I got this in my email today, I thought it was interesting:
Apache Tomcat/6.0.14 - Error report
Conclusion: "The results suggest that the current market disruption is short-term in nature, and stable market conditions will likely prevail by 2nd quarter to mid-year 2007 as economic growth continues, as housing supply (based upon permit issuances) declines, and as affordability improves."
I'm deeply suspicious of all these payroll reports now, but the ADP moreso after this month.
Maybe it will be vidicated by revisions.
I do think it's curious that the -40,000 ADP jobs report seemed to be substantiated by a couple of other indexes (that Hudson and Monster index). But that assumes they have merit...
I think that waiting for the job market to collapse is like waiting for godot.
Cal - interesting read. I think they got the idea right but are short on the time scale...
Looking at THIS chart I'd say it will take a couple years or more to get back to historical affordability... if the curves remain on that trendline. Obviously much sooner if prices drop a lot - I don't see interest rates going a lot lower or incomes increasing enough over 2007 to make a big difference.
It will take time & some pain. JMHO.
The Hudson survey and Monster report did not support the ADP number.
Here's the Hudson report:
Business & Financial News, Breaking US & International News | Reuters.com
"Despite the decline, hiring expectations held steady and December's index was generally in line with readings throughout the second half of the year," the firm said.
And the Monster report:
Our Apologies - KPLC 7 News, Lake Charles, Louisiana |
Monster said its Employment Index fell 8 points to 167, down from 175 in November. It was 145 a year ago, reflecting a 15 percent increase for 2006.
"The indications are that job growth will continue to moderate in the beginning of 2007 but still be relatively healthy," said Steve Pogorzelski, group president of Monster Worldwide (MNST.O), parent company of Monster. "We see unemployment rates continuing to remain at historically low levels."
I also dont think they take into account the "Affordability" products and how they are keeping the ratio lower. But I like the idea of the graphs, they are a pretty good way of looking at the data under normal times.
If you look at price to income, you get a much bigger predicted drop for reversion to the mean (like 90%), than if you look at mortgage cost to income (about 18%), I think this reflects the IO/neg-am loans in the market.
Im sorry that 90% should be 50% in my last post
The Hudson survey and Monster report did not support the ADP number.
I guess because the headline numbers were all negative they got reported together in a couple of articles "ADP jobs decline 40k, Monster Employment Index declines 8 points, Hudson Index down 2.6 points!!!!"
I admit there was perhaps a lack of due diligence on my part.
I never would have suspected that it's so difficult to come up with a clear picture of employment changes, especially given how decisivly markets respond to these reports.
You can take a look to see if the two series are co-integrated. Its another way of saying they will not diverge too much.
I'm not as much a critic as the ADP number.
First, ADP uses census data from its customers. Although this is survey data from a larger population, the quality of the data is probably quite good because it reflects real payrolls, not reported payrolls.
Also, ADP said during the release (I saw it on CNBC) that the December numbers are their noisiest, and probably wouldn't correlate well to the BLS number. Over time it certainly correlates, but it's just more noisy.
Finally, I don't know about the Monster numbers . . . I always wonder how much growth in the Monster numbers is due to the relentless push towards using online sources to find jobs (i.e., vs traditional media).
well said jerseyboy. i actually work for adp and the sampling is from actual payrolls. remember folks we do almost 20% of all US-based payrolls so its got to be taken into consideration. in addition the bls survey is a much larger sampling. the way to approach it is to blend/weight results from multiple data points.
i actually work for adp and the sampling is from actual payrolls. remember folks we do almost 20% of all US-based payrolls so its got to be taken into consideration.
Thanks Richard - one question, does your sample 'map' accurately to the whole 'universe' of companies covered by the BLS? Do they test for fit of the 'map'?
I say that 'cause I would guess you do more payrolls for some types of companies than others (say differentiated by size, geographic location, SIC segment, etc.)...
I would also guess that there are differences between employment/layoff rates among these different segments.
Considering that 'job gains/job loss' is the sum of then difference between pretty large sets of numbers I would not be surprised at all that there might not be agreement - yet both methodologies could still be 'right' for the purpose they were intended.
Could you shed some light on this - without say getting yourself in hot water should this forum be 'monitored'?
TIA
FICA receipts ought to be an accurate gauge of the compounded effects of wage and employment increases. Oddly, the SS website seems to divulge only how many are collecting benefits, not how many SSNs are getting FICA contributions.
From the Monthly Treasury Statements
FEDERAL OLD-AGE AND SURVIVORS INS. TRUST FUND
FEDERAL INSURANCE CONTRIBUTIONS ACT TAXES Gross Receipts
2005-Oct\t34,835\t
2006-Oct\t36,573\t+4.99% yoy
\t\t
2005-Nov\t37,528\t
2006-Nov\t39,221\t+4.51% yoy
Pretty anemic, and Nov was more anemic than Oct.
dryfly, since we do 20% of all payrolls you can safely assume we have a good cross section of coverage of private companies in terms of size, geography and industry. also note that adp doesn't actually produce the algorithms that arrive at the #'s. that's done by a partner who takes our data. the adp number is but one of 3 data points that's blended together and then called the ADP report. I will admit some of it has to do with marketing. We do payroll, how much press coverage would that typically generate?
Just shotup the Phoenix Report and changed the entire thebubblebuster.com website.
Additionally, the NEW thebubblebuster.com contains historical data for another 20+ cities. Check it out...
There are more than one or two parties making up numbers on employment. We discovered a several "invented" categories in our local paper's supposedly objective report on Santa Clara County housing.
The complete story is posted here:
http://www.viewfromsiliconvalley.com/id296.html
Thanks!
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