Written by Steven Hansen
The Conference Board’s Employment Trends Index – which forecasts employment for the next 6 months improved with the author’s saying “the rapid improvement in the index continued, suggesting solid hiring and further tightening of the labor market in the months ahead“.
Analyst Opinion of Conference Board’s Employment Index
Econintersect evaluates year-over-year change of this index (which is different than the headline view) – as we do with our own employment index. The year-over-year index growth rate improved from last month. However, looking at this index another way – the current rate of growth is about mid-stream of the rates of growth seen since the end of the Great Recession.
Econintersect is forecasting modest improvement to the growth rate six months from now. Note that the Econintersect Employment Index is not based on employment data.
From the Conference Board:
The Conference Board Employment Trends Index™ (ETI) increased in July, after decreasing slightly in June. The index now stands at 133.77, up from 132.42 (a downward revision) in June. The change represents a 4.8 percent gain in the ETI compared to a year ago.
“Those who have been following The Conference Board’s Employment Trends Index are not surprised by the strong employment growth in June and July,” said Gad Levanon, Chief Economist, North America, at The Conference Board. “In July, the rapid improvement in the index continued, suggesting solid hiring and further tightening of the labor market in the months ahead.”
July’s increase in the ETI was fueled by positive contributions from all eight components. From the largest positive contributor to the smallest, these were: Percentage of Firms with Positions Not Able to Fill Right Now, Ratio of Involuntarily Part-time to All Part-time Workers, Industrial Production, Number of Employees Hired by the Temporary-Help Industry, Consumer Confidence “Jobs Hard to Get” Percentage, Real Manufacturing and Trade Sales, Job Openings, and Initial Claims for Unemployment Insurance.
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To add context to this index, the following graph compares BLS non-farm payrolls, the Econintersect Employment Index, and The Conference Board ETI. Econintersect uses non-labor and mostly non-monetary economic pulse points in constructing its index, while The Conference Board uses mostly elements of employment data.
The graph above offsets the Conference Board ETI by 5 months. Note that the Conference Board is currently projecting an improving growth rate (and the Econintersect index is also showing a marginally improving rate of growth.
A relatively new index is produced by the Federal Reserve.
The LMCI is derived from a dynamic factor model that extracts the primary common variation from 19, seasonally-adjusted, labor market indicators. Users can read about the included indicators at http://www.federalreserve.gov/econresdata/notes/feds-notes/2014/updating-the-labor-market-conditions-index-20141001.html.
Users of the LMCI should take note that the entire history of the LMCI may revise each month. Three sources contribute to such revisions. The first source is new data that were not available at the time of the employment report. In particular, at the time of the Employment Situation report each month, the quit rate and hiring rate will be missing for the last two months of the sample because the Job Openings and Labor Turnover Survey is published with a longer lag than the model’s other indicators. In subsequent months, as these data become available, the LMCI will revise.
The second source of revision comes from revisions to existing data. Many labor market indicators are subject to revision as additional source data become available or to incorporate annual benchmark revisions or updated seasonal adjustment factors. Prominent examples in the LMCI include the three payroll employment series from the Current Employment Statistics program.
The third source of revision is inherent to the model. The LMCI is derived from the Kalman smoother, meaning that the estimate of the index in any particular month is the model’s best assessment given all past and future observations. Thus, when a new month of data is added to the sample, the model will revise its estimate of history in response to the new information. In practice, these revisions tend to be modest and concentrated in the most-recent six months of the sample.
As this index can change so completely each month, we do not believe it can be used to forecast or trend – but is simply presented for reader information.
Comparing the LCMI (blue line, left axis) to Year-over-Year Growth Rate of Non-Farm Private Employment (red line, right axis)
Caveats on the Employment Indices
According to the Conference Board:
The Employment Trends Index aggregates eight labor-market indicators, each of which has proven accurate in its own area. Aggregating individual indicators into a composite index filters out “noise” to show underlying trends more clearly.
The eight labor-market indicators aggregated into the Employment Trends Index include:
- Percentage of Respondents Who Say They Find “Jobs Hard to Get” (The Conference Board Consumer Confidence Survey
- Initial Claims for Unemployment Insurance (U.S. Department of Labor)
- Percentage of Firms With Positions Not Able to Fill Right Now (© National Federation of Independent Business Research Foundation)
- Number of Employees Hired by the Temporary-Help Industry (U.S. Bureau of Labor Statistics)
- Part-Time Workers for Economic Reasons (BLS)
- Job Openings (BLS)
- Industrial Production (Federal Reserve Board)
- Real Manufacturing and Trade Sales (U.S. Bureau of Economic Analysis)
The Labor Market Conditions Index (LMCI) is produced by the Federal Reserve.
The LMCI is derived from a dynamic factor model that extracts the primary common variation from 19, seasonally-adjusted, labor market indicators. Users can read about the included indicators at http://www.federalreserve.gov/econresdata/notes/feds-notes/2014/updating-the-labor-market-conditions-index-20141001.html.
Users of the LMCI should take note that the entire history of the LMCI may revise each month. Three sources contribute to such revisions. The first source is new data that were not available at the time of the employment report. In particular, at the time of the Employment Situation report each month, the quit rate and hiring rate will be missing for the last two months of the sample because the Job Openings and Labor Turnover Survey is published with a longer lag than the model’s other indicators. In subsequent months, as these data become available, the LMCI will revise.
The second source of revision comes from revisions to existing data. Many labor market indicators are subject to revision as additional source data become available or to incorporate annual benchmark revisions or updated seasonal adjustment factors. Prominent examples in the LMCI include the three payroll employment series from the Current Employment Statistics program.
The third source of revision is inherent to the model. The LMCI is derived from the Kalman smoother, meaning that the estimate of the index in any particular month is the model’s best assessment given all past and future observations. Thus, when a new month of data is added to the sample, the model will revise its estimate of history in response to the new information. In practice, these revisions tend to be modest and concentrated in the most-recent six months of the sample.
Unfortunately many of these indices are not accurate in real time being subject to at times significant backward revision.
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