Tuesday, April 28, 2015

A short guide to measures of employment, wages and income

Over the last few years I’ve spent a lot of time discussing employment with various other market participants, commentators, reporters and other assorted interested observers and, in my experience, one of the biggest obstacles to productive exchange is an incomplete understanding of the various measures of income & employment, what they attempt to estimate and how the estimates are arrived at. I put together this short description, which I hope to keep updating in the future, in an attempt to create a quick reference to various measures of employment, wages and income both for myself and colleagues.

To avoid any confusion related to nomenclature, it’s important to define some of the terms that I will use and how they relate to each other. The labor force is the portion of the population that is employed, unemployed, or discouraged (1). Estimates of the labor force, (un)employment levels, and demographic characteristics of the labor force come from the Current Population Survey (CPS), commonly referred to as the “household survey”, collected from a sample of 60,000 households by the Bureau of Census for the Bureau of Labor Statistics (BLS). Some key definitions are reproduced below:


In addition to the household survey, the BLS also conducts the Current Employment Statistics (CES) survey, commonly referred to as the “establishment survey” because it surveys establishments (employers). It covers about 143,000 employers which, in aggregate, employ over 588,000 persons (2). The establishment survey includes any full- or part-time worker that was paid during the pay period that includes the 12th of the month excludes self-employed workers, farm workers, domestic workers and non-civilian government workers. In addition to estimates of payroll employment, the establishment survey provides estimates of hours worked and hourly earnings for the estimated 77.2 million workers paid at hourly rates (3).

I will use the word “worker” to describe a member of the labor force and the word “employee” for a person on an establishment’s payroll. It is important to note that because an employed worker may be employed by zero (e.g. in the case of self-employed) or more establishments, these are not interchangeable. The household survey counts as “employedworkers who may or may not be on a payroll, while an employee is a worker that is currently on a payroll. The sum of all the remuneration employees receive for their work is compensation.

An estimate of Compensation of Employees is released quarterly by the Bureau of Economic Analysis (BEA) as part of the National Income accounts. Compensation of employees is the sum of wages and salaries and noncash benefits (e.g. retirement plan contributions and employer-provided health care plans) paid or provided to US residents by US or foreign employers. (4) This measure can effectively be thought of as the “labor share” of income. It is important to note that this measure excludes income from self-employment, including what is commonly referred to as “1099 income,” non-employee compensation paid to independent contractors, which is recorded as Proprietor’s Income.

Wage & Salary Disbursals, a monthly estimate which is lagged by one month is an almost perfect proxy for the wages & salaries portion of compensation of employees. This measure represents the actual aggregate compensation that employers paid both wage and salary employees and is a function of employment levels, salaries, hours worked and the rate at which those hours were paid, including overtime and paid time off. This measure deviates slightly from the quarterly series in that it is based on disbursements while the quarterly series is based on accruals.

The two most popular measures of employment are the establishment survey’s non-farm payrolls (NFP), an estimate for the number of jobs in the universe covered by the establishment survey, and the employment level estimate from the household survey. As previously mentioned, these measures are not equivalent, but the closest measure to NFP in the household survey is probably Employment Level - Nonagriculture, Wage and Salary Workers. As can be seen clearly here, the difference between the two is explained almost entirely by multiple jobholders.

Average Weekly Hours and Average Weekly of Production and Nonsupervisory Employees are measures of hours worked (not scheduled). It is calculated by dividing the total weekly hours by the number of employees paid for those hours for a cell and then calculating a weighted average across industries (2).

Average Hourly Earnings and Average Hourly Earnings of Production and Nonsupervisory Employees are not measures of wage rates. They are aggregate measures of the amounts paid to workers which may include distortions such as overtime or holiday pay or fluctuations in the proportion of hours worked by higher or lower waged workers. They are calculated by dividing the sum of the payroll by the total hours worked for a cell and then calculating a weighted average across industries. It’s important to note that these series cannot be used as a measure of wage inflation as they do not control for overtime or the composition of the workers. For example, in a rising wage environment that coincides with an increase in low wage employees and an increasing number of hours worked by those employees, average hourly earnings could fall even though a measure that controlled for occupation would rise. Special bonuses and non-cash compensation are not reflected in this measure.

Multiplying the estimates of average hourly earnings and average weekly hours would result in an estimate of average weekly earnings, the average gross weekly pay for an hourly position before any deductions (such as payroll and income taxes, health plan deductions, etc.) which are available on a monthly periodicity; however, a better measure of hourly earnings is released quarterly based on the household survey. The Usual Weekly Earnings of Wage and Salary Workers as part of the provides an estimate of quantile boundaries of weekly earnings before taxes and other deductions (5) which control for various demographic factors as well as weighted aggregates meant to be representative of the population.  In contrast to all the previous data series mentioned, this release holds information as to the distribution of earnings and allows us to see where changes in wages and employment are happening in the context of sex, age, race, occupation, full- or part-time status, and educational attainment.

Together, these measures give us an idea of how money is paid by employers, to how many people, as well as how that income is distributed and the aggregate utilization of hourly workers. However, none of these measures are a true measure of wage inflation, although the median of earnings of full-time employees by occupation can be close. For a closer look at wage inflation we have to look at the National Compensation Survey (NCS).
The NCS is a quarterly establishment-based survey that provides comprehensive measures of employer costs for employee compensation, compensation trends, and the incidence of employer-provided benefits among civilian workers, excluding federal, quasi-federal workers, overseas, and self-employed workers (6). The two main components of the NCS are the Employment Cost Index (ECI) and Employer Costs for Employee Compensation (ECEC). The ECI, one of the better measures of compensation inflation, provides a “measure of the change in the cost of labor independent of employment shifts amongst occupations and industry categories” and its composition by occupational groups and industry supersectors grouped into private sector or state & local employers. The ECI tracks changes in compensation within establishment jobs, not individuals, so an employee being promoted or changing jobs within the establishment would not affect the index. While the ECI measures changes in per employee hour wages paid to employees and is presented as an index level, the ECEC measures changes in the cost of per employee hour cost to employers and is presented in dollar amounts.
Finally, the US Treasury provides a daily record of assorted deposits and withdrawals in the Daily Treasury Statement (DTS) which includes deposits for “Withheld Income and Employment Taxes,” the portion of gross pay that employers withhold for income and FICA tax purposes. In contrast to numbers from the previously mentioned releases, this is not an estimate and is not revised. It is a true, real-time indicator of aggregate wages disbursed and can be used as a proxy until Wage & Salary Disbursals data is ready later-on. It is important to note that, because deposits for withholdings are not necessarily made simultaneously with payroll (the Treasury allows for a short lag between disbursal and deposit) and payroll periodicity varies between establishments, short-term periods will be noisy and this data can’t be used to approximate month-to-month changes in the seasonally-adjusted annual rate of disbursals without significant adjustments. In particular, deposits tend to be elevated on common “paydays” like Friday, Monday, and the turn of the month.

Works Cited

1. Bureau of Labor Statistics. Labor Force Statistics. Current Population Survey. [Online] April 2015. http://www.bls.gov/cps/lfcharacteristics.htm.
2. —. Technical Notes for the Current Employment Statistics Survey. Current Employment Statistics. [Online] April 2015. http://www.bls.gov/web/empsit/cestn.htm.
3. —. Minimum wage workers: Characteristics of minimum wage workers, 2014. Current Population Survey. [Online] April 2015. http://www.bls.gov/opub/reports/cps/characteristics-of-minimum-wage-workers-2014.pdf.
4. Bureau of Economic Analysis. Methodology Papers. Bureau of Economic Analysis. [Online] November 2014. http://www.bea.gov/national/pdf/chapter10.pdf.
5. Bureau of Labor Statistics. Usual Weekly Earnings Technical Note. Current Population Survey. [Online] April 2015. http://www.bls.gov/news.release/wkyeng.tn.htm.
6. —. Handbook of Methods, Chapter 8, National Compensation Measures. National Compensation Survey. [Online] http://www.bls.gov/opub/hom/pdf/homch8.pdf.


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