Part A NCS 2015 Final 1-26-2014

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National Compensation Survey

OMB: 1220-0164

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2015 Supporting Statement for the National Compensation Survey


Justification, Part A.

Overview


This request is for the approval of pay and benefit collection for the National Compensation Survey (NCS) 1220-0164. Under the NCS, the Bureau of Labor Statistics (BLS) conducts ongoing surveys of compensation and job characteristics. Data collected by the NCS is used to produce Employment Cost Trends, including the Employment Cost Index (ECI) and Employer Costs for Employee Compensation (ECEC), Employee Benefits Survey (EBS), and data used by the President's Pay Agent.


For the President’s Pay Agent the BLS introduced in 2011 a new approach that uses data from two current BLS programs – the Occupational Employment Statistics (OES) survey and the ECI program. This approach uses OES data to provide wage data by occupation and by area, while ECI data are used to specify grade level effects. This approach is also being used to extend the estimation of pay gaps to areas that were not included in the prior Locality Pay Survey sample, and this data has been delivered to the Pay Agent.


The BLS in September 2012 started reverting to a national design in order to preserve the reliability of the ECI and the EBS. The NCS private industry sample is on a three-year rotational cycle, with one frozen sample year for the NCS private industry sample when a new NCS State and local government sample is rotated in 2015.


The NCS uses a factor evaluation method with four factors to evaluate the work level of jobs. Each factor has several levels reflecting increasing duties and responsibilities, and there are point values associated with each level. The four factors are:


  • Knowledge – the amount of knowledge required for the job

  • Job controls and complexity – the type of direction received and the nature of the job

  • Contacts – the nature and purpose of contacts within a job but outside the supervisory chain

  • Physical environment – risks involved and physical demands


The four-factor leveling method is the result of a joint effort between BLS and OPM undertaken at the request of the President’s Pay Agent. It simplified and modified the NCS procedures for classifying work levels to help speed up job evaluation in an interview. Tests showed the use of four factors produces more consistent work level occupational matching and has fewer decision points than the previous methodology.


The NCS collects both wage and employee benefits for all sampled establishments. These data include the incidence, costs, and provisions of the benefits. For all of these establishments, the BLS updates the wage, salary, and benefit cost data quarterly. This updating allows for the publication of change in the cost of wages, benefits, and total compensation on a quarterly basis.


“Field economist” is the BLS title for those who collect data from respondents. To collect NCS data, field economists interview respondents who represent the companies, organizations, and government units within the sample. Field economists conduct these interviews by visiting the company or by phone, or both. Other communication media, such as faxes, mail, websites, and e-mail are used to assist the process, depending on the wishes of the respondents.


When asking questions on pay and benefits, field economists do not rely on a scripted interview. Instead, they ask probing questions to get the information. Field economists might ask questions in different ways to different respondents. Some respondents will be experts in the field of compensation, while other respondents merely maintain pay and benefit records. Because of the different levels of respondent knowledge, combined with the scope and complexity of NCS data collection, scripting an interview that covers most situations would be very difficult.


In the initial collection, the respondent does not complete the collection forms.  The field economist asks for the needed information and uses the collection forms as a note-taking device.  This information is then entered into the computer database of the NCS collection system after the completion of the interview with the respondent.  Respondents normally give a copy of a recent establishment payroll run either electronically or printed and those payroll data are either electronically reformatted or hand entered into our collection system by the field economist.  NCS policy is to collect the data in whichever form is easiest for the respondents to provide and then reformat those data for our use.  This approach could cause some non-sampling error, but ongoing collection training and quality assurance programs are in place to lessen any impact on data collection.        


When updating the data, the respondent may choose to send the data on forms that the BLS provides. The respondents may respond through e-mail, fax, mail, phone, or a NCS secure web-site. Many respondents will send copies of a recent payroll, benefits cost run, or billing statement for various benefits (mostly insurance) by e-mail, fax, or mail in place of using the forms. Respondents may wish to provide the information in a follow-up interview by phone each time they report data and for this option they can call in the information or wait to be called. In such cases, the field economists enter information on the appropriate forms or directly in the computer database.


The published compensation data include the following information:

  • Employer cost of total compensation

  • Employer cost of benefits

  • Employee cost of selected benefits

  • Percent of employees participating in benefit plans

  • Provisions of benefit plans

  • Percent change in total compensation costs

  • Percent change in earnings

  • Percent change in selected benefits


The types of benefit information collected include:

  • Health, life, and disability insurance

  • Retirement plans

  • Leave information

  • Legally required benefits (Social Security, Medicare, workers’ compensation, and unemployment insurance)

  • Overtime, shift, and bonus pay

  • Other benefits, including child care, health saving accounts


Some benefits (called “Other benefits” in NCS) data are collected to track the emergence of new or changing benefits over time. NCS also asks about the incidence of certain other benefits. The BLS only asks whether sampled occupations receive these benefits and periodically drops those that show no growth, supplementing them with other potentially growing benefits.


The compensation data currently captured includes information on details of benefit services received by employees and their families as well as restrictions and limits on the receipts of these services.


As compensation practices change, so too must the NCS. This is accomplished through constant environmental scanning, which, after testing, can result in survey changes when new benefits, provisions, or practices are identified. In Fiscal Year 2014, the NCS program conducted a test to determine the availability of information on the impact of selected provisions of the Affordable Care Act (ACA) on employer-sponsored health insurance plans. The test covered such concepts as grandfathered plans, metal levels, variable premiums, actuarial values, Small Business Health Option Plans (SHOP), and tax credits. Based on the results of that test and discussions with BLS Advisory Committees, data users, and health experts, NCS has begun collection of one additional variable, the grandfathered status of plans, in Fiscal Year 2015.  Analysis of the test survey results and other inputs is continuing and NCS may add collection of additional variables in the future. Additional testing may be required before final decisions can be made. 


Examples of current provision details in NCS include the following:

  • Managed care in health insurance

  • Cost sharing arrangements such as typical deductibles and copayments

  • Other health plan information such as coverage for hospitalization, alternatives to

hospitalization, mental health, substance abuse treatment, surgical care, and physicians visits

  • Dental, vision, and prescription drug benefits

  • Levels of coverage for life insurance and disability plans

  • Pension plan eligibility, benefit formulas, survivor options, and disability provisions

  • Defined contribution retirement plans: employee and employer contribution rates,

investment choices, tax status of employee contributions, and disbursement options

  • Number of vacation days, sick days, and holidays


The NCS has developed a new Web pages site (Web-Lite) that allows NCS respondents, using Secure Sockets Layer (SSL) encryption and the establishment’s schedule number, to upload data file(s) to a secure BLS server and forward those files to the assigned field economist. Respondent access to these new web pages is through the existing NCS Internet Data Collection Facility (IDCF) system. 


  1. Necessity of the Information Collection


Data on various forms of compensation, including employers’ cost for wages and benefits, benefits incidence, and detailed characteristics of benefit plan provisions, are needed to meet the requirements of a number of Federal programs. Leveling data produced from the survey are used and will be used in the determination of locality pay and general increases for most Federal workers. Total compensation data are needed for the calculation of the ECI, a principal Federal economic indicator used in determining monetary policy. The ECI ensures the accuracy of the statistics on employers' compensation costs that we rely on for economic policy making and for successful business planning.


These ECI estimates are also widely used by the private sector to determine the costs of pay and benefits, for research in the field of labor economics, and in private contracts for wage escalation. The ECI provides quarterly and annual change in total compensation costs, including changes in wage and salary costs and changes in the cost of employer provided benefits.


The Centers for Medicare and Medicaid Services (formerly the Health Care Financing

Administration) uses the ECI to determine allowable increases in Medicare reimbursements for hospital and physician charges. The Wage and Hours Division of DOL, uses the ECI to set benefit costs required by the Service Contract Act. Other uses of ECI data include: macro-economic forecasting; collective bargaining and other pay determinations; estimating compensation in the National Income and Product Accounts done by the Bureau of Economic Analysis; contract cost escalation; and studies on the structure of employee compensation.


The Patient Protection and Affordable Care Act of 2010 (PPACA) states that “the Secretary [of Health and Human Services] shall define the essential health benefits” for certain health plans under the law. The Act further required the Secretary of Labor to “conduct a survey of employer-sponsored coverage to determine the benefits typically covered by employers,” and to report the results of the survey to the Secretary of Health and Human Services. The Department of Labor (DOL) first looked to its ongoing survey of benefits, NCS. Much of that needed data was already available from NCS on detailed provisions of employment-based health benefits and from previously-published survey results, which cover such services as hospital room and board, physician office visits, mental health and substance abuse treatment, dental care, and vision care. Cost-sharing information such as deductibles and copayments comes from the previously-published survey results as well.


For additional information on “essential health benefits” not currently collected by the NCS, data were obtained from existing BLS files of employer health plans. These existing files identify available health plans and other copies of written documents describing plan benefits. The NCS program extracted the detailed plan provisions presented in the reports from approximately 3,200 health plan documents. Sufficient data were available to publish data for twelve additional services: emergency room visits, ambulance services, diabetes care management, kidney dialysis, physical therapy, durable medical equipment, prosthetics, maternity care, infertility treatment, sterilization, gynecological exams and services, and organ and tissue transplantation.


The collection of employee compensation data is authorized and mandated by several laws and regulations. Links to the appropriate sections of these laws, regulations, or documents are attached. These include:

a. The Bureau of Labor Statistics is authorized to make “... continuing studies of ... labor costs in manufacturing, mining, transportation, distribution, and other industries” under Title 29 of the U.S. Code (29 USC 2b).

http://law.onecle.com/uscode/29/2b.html


b. The Federal Employees Pay Comparability Act of 1990 directs the President’s Pay Agent to prepare “... a report that -- (A) compares rates of pay under the General Schedule with the rates of pay generally paid to non-Federal workers for the same levels of work within each pay locality, as determined on the basis of appropriate surveys that shall be conducted by the Bureau of Labor Statistics.” The Act further specifies that in addition to locality differentials being implemented, the twelve-month change in the ECI for earnings and salaries for private industry workers minus 0.5 percentage points be used to adjust the General Schedule. (5 USC 5304) http://www.oscn.net/applications/OCISWeb/DeliverDocument.asp?CiteID=185083


c. The Ethics Reform Act of 1989 specifies that data from the ECI be used to adjust the pay of members of the House of Representatives and the Senate, Federal judges, and senior Government officials. (5 USC 5318)

http://www.oscn.net/applications/oscn/deliverdocument.asp?lookup=Next&listorder=439&dbCode=FDSTUS05&year=


d. Compensation of Members of Congress shall be adjusted by an amount, rounded to the nearest multiple of $100 (or if midway between multiples of $100, to the next higher multiple of $100), equal to the percentage of such annual rate which corresponds to the most recent percentage change in the ECI (relative to the date described in the next sentence), as determined under section 704(a) (1) of the Ethics Reform Act of 1989. (2 USC 31)

http://uscode.house.gov/download/pls/Title_02.txt


e. The ECI is designated a Principal Federal Economic Indicator under OMB Statistical Policy Directive No. 3. 2015 Release dates attached:

http://www.bls.gov/schedule/news_release/eci.htm>


2. Uses of Information


A prominent use of the current NCS data is to determine changes in Federal workers’ pay, as mandated in the FEPCA of 1990.


Other important data users include:

  • Private firms that use the data in the administration and evaluation of the compensation packages they offer their workers

  • Researchers in academia and consulting


The BLS continually examines compensation literature and maintains personal contact with relevant associations and researchers. Currently, no other information is available on a probability basis that yields the scope of compensation data found in the NCS surveys.


One of the chief products of the NCS is the ECI. The data produced by the ECI are the only source for measures of change in compensation in the broad civilian, non-Federal, and non-farm economy. Other surveys of change in compensation produce data that are valuable for specific purposes, but are limited in scope and coverage.


Another NCS product is the estimation of benefit incidence and detailed provisions. The NCS benefits are the only source of comprehensive data on employer-provided benefits that are based on a statistical sample and cover the broader economy. In 2014, the NCS produced and published two benefits products, one for incidence and key provisions (Employee Benefits in the United States, March 2014) and a second for detailed provisions for selected benefits in private industry establishments (Health and Retirement Plan Provisions in Private Industry in the United States, 2013.)

There is continuing interest in using NCS data files for special research. Many academic, institutional, and government researchers are currently using these data, and other such efforts are in the planning stages. Recent requests for special research and tabulations have come from the Treasury Department, Council of Economic Advisors, State of California, United States Postal Service, Rutgers, TIAA-CREF, Pension Benefits Guaranty Corporation, City of New York and the Center for Medicare and Medicaid Services.  Examples of these requests include median wages for detailed occupations by Census divisions, benefit costs excluding health care, compensation costs for selected benefits by detailed industry, incidence of retirement benefits for detailed worker and establishment characteristics,  sick leave provisions for Pacific Census Division, and compensation costs by wage percentiles from 1990-2014.


Some proposed legislation on benefits uses NCS data for cost and benefit analysis.  A recent example is the various paid sick leave legislation initiatives that have been introduced in various State legislatures and city councils.  California recently passed a law mandating sick leave for most workers. 



3. Uses of Improved Information Technology


BLS field economists obtain data from respondents through personal interview, telephone, e-mail, fax, and web-site contacts. After the interview, BLS field economists enter collected data into a database utilizing a customized computer application. The application is designed for use on both laptop and desktop personal computers, and runs in the Microsoft Windows operating system. Field economists are able to enter information for an establishment and perform a variety of data edits to check the validity of the entries. This data capture system currently has approximately 650 total edits.


The NCS program is transitioning over to a new web based data capture system called the Compensation Information Entry and Review Application (CIERA.) The CIERA system is web based and will use an Oracle database. The CIERA system will be fully operational in the spring of 2018.


The Quarterly Census of Employment and Wages (QCEW) is a relational database of business establishments linked longitudinally and based on the micro data submitted quarterly by States from Unemployment Insurance (UI) tax files. The QCEW serves as a sampling frame for the NCS and other establishment-based surveys. BLS data elements on these QCEW files include information on monthly employment, business name and addresses, industry classification, geo codes, and other administrative data. Every business establishment contains a unique identifier that allows for tracking of individual establishments at the micro level across quarters for the United States. The NCS uploads these data into its computer system before the field economist visits the establishment, thereby reducing the burden on respondents to provide this basic information.


The BLS allows responding establishments to provide a computer file of data, rather than recording data on paper. NCS is currently using a program that allows for centralized control of data received over the Internet that helps facilitate data received electronically. These data can then be directly imported to the NCS system, or the data can be reformatted by the system if needed. While field economists may still visit the establishment during the initiation (first) collection, respondents now can send initiation and updated data via the internet, mail, a secure server, or fax.


The NCS has updated its Web-based system (Web-Lite) that allows NCS respondents, using Secure Sockets Layer (SSL) encryption and the establishment’s schedule number, to upload data files to a secure BLS server and forward those files to the assigned field economist. The new more interactive Web pages allow respondents to further refine and break out the detailed data they send NCS using this Web application.


The NCS program uses the Standard Occupational Classification (SOC) 2010. The 2010 SOC system contains 840 detailed occupations, aggregated into 461 broad occupations. In turn, the SOC combines these 461 broad occupations into 97 minor groups and 23 major groups.


4. Effort to Identify Duplication


The NCS data collection supports a number of outputs, in 1999 three compensation surveys were combined into the current NCS. Each establishment is now contacted only one time (in each sample cycle) rather than possibly being contacted for more than one survey in a quarter. Therefore, the burden on respondents has been reduced significantly, especially for those large establishments that are selected in multiple samples.


In developing the NCS, the BLS has undertaken efforts to coordinate the NCS with other surveys and other Federal data needs. For example, within the BLS, data collection is coordinated between the NCS and the Bureau’s OES program. For large establishments that are selected in both survey’s samples, the NCS program collects the data and it is then used for both surveys.


NCS staff periodically contacts the Agency for Healthcare Research and Quality (Medical Expenditure Panel Survey [MEPS] Insurance Component survey staff) to avoid duplications of benefits collection.


Contact with the MEPS staff also facilitates planning for how each survey plans or is dealing with the impacts of The Patient Protection and Affordable Care Act (PPACA) on both surveys’ collection and publication efforts.


5. Minimizing the Burden to Small Establishments


The NCS program is designed to provide compensation data that are representative of the national economy. Therefore, information is collected from establishments of all sizes. Any establishment with at least one employee is a potential respondent (for NCS a small establishment has from 1 to 99 employees). Under the redesigned NCS, most private industry establishments only will be in the sample for a maximum of 4 years. The State and local government establishments sample is reselected every 10 years.


The aggregate collection burden on small establishments is significantly less than medium and large establishment burden. For all establishments, including small establishments, an optimum allocation design is obtained by sorting establishments within the industry by employment size and sampling the industry with probability proportionate to the amount of employment contained in those industries. Therefore, larger firms have a greater chance of being selected. The BLS also collects data on fewer occupations in small establishments. Furthermore, small establishments will have a smaller benefit collection burden because they tend to offer fewer benefits than larger establishments.1


6. Consequences of Not Collecting the Data or Less Frequent Data Collection


The consequences of not collecting the NCS would cause the loss of data series that:

Are needed to administer Federal workers’ pay and other programs

Are valuable tools to private sector compensation administrators

Provide data critical to analysis of the US economy


If collection were done less frequently, the following negative ramifications could occur:

Compensation change data, computed on a semiannual or annual basis instead of quarterly, would make it more difficult to identify the causes of any change in the price of labor in a timely manner.


The change would impair the ability of companies and government entities that use the ECI as a cost escalator for labor rates.


7. Special Circumstances


There are no special circumstances for this collection.


8. Federal Register Notice/Outside Consultation


One comment was received as a result of the Federal Register Notice published in 79 FR 65706 on November 5, 2014. The Chief Statistician at the Bureau of Economic Analysis (BEA) sent a letter of support. The letter listed BEA’s needs and uses for the ECI, the ECEC and EBS data.


Outside Consultation

The BLS solicits input from data users, including survey respondents, on the types of compensation statistics they would like to see produced. To assist in these efforts, a marketing outreach program was developed with the goal of informing users about the NCS and gathering information on the types of statistics users find most valuable. The BLS also obtains advice on its programs from the Data Users Advisory Committee (DUAC) and the Technical Advisory Committee (TAC) with members from the labor, business, government, research and academic communities and the Federal Economic Statistics Advisory Committee. The latter as (well as TAC) provides members of the academic community the opportunity to have input on statistical issues. This Committee is a joint effort of the Bureau of Economic Analysis, the Census Bureau, and the BLS.


In 2014 NCS developed and sponsored an Affordable Care Act (ACA) Conference with invited attendees from government, consulting firms, universities, and think tanks.


In addition, the BLS attends, speaks, and has staff exhibits to describe and publicize the NCS program and products at the annual WorldatWork conference, the Society for Human Resources Management, the American Society for Healthcare Human Resources Administration Conferences, and the annual Joint Statistical Meetings sponsored by several professional statistical associations including the American Statistical Association. Getting public feedback from the human resource community helps in survey design and publications.


Finally, an important part of the feedback the BLS receives comes from the survey respondents and their reactions to the type of data requested, the accessibility of the data, and the value of the results. Field economists relay feedback information from respondents to regional managers, who in turn consult with national office managers to assess respondents’ suggestions or concerns and act appropriately.


9. Payments to Respondents


No payments or gifts will be provided to any respondents.


10. BLS Confidentiality Policy


The Confidential Information Protection and Statistical Efficiency Act of 2002 (CIPSEA)  safeguards the confidentiality of individually identifiable information acquired under a pledge of confidentiality for exclusively statistical purposes by controlling access to, and uses made of, such information.  CIPSEA includes fines and penalties for any knowing and willful disclosure of individually identifiable information by an officer, employee, or agent of the BLS.

 

Based on this law, the BLS provides all non-government respondents with the following confidentiality pledge/informed consent statement:

 

The Bureau of Labor Statistics, its employees, agents, and partner statistical agencies, will use the information you provide for statistical purposes only and will hold the information in confidence to the full extent permitted by law. In accordance with the Confidential Information Protection and Statistical Efficiency Act of 2002 (Title 5 of Public Law 107-347) and other applicable Federal laws, your responses will not be disclosed in identifiable form without your informed consent.


This statement appears on the private industry collection forms and is on our web collection site.


For the NCS program, the pledge of confidentiality is not extended to State and local government entities, unless specifically requested, since the data they provide are a matter of public record.


BLS policy on the confidential nature of respondent identifiable information (RII) states that “RII acquired or maintained by the BLS for exclusively statistical purposes and under a pledge of confidentiality shall be treated in a manner that ensures the information will be used only for statistical purposes and will be accessible only to authorized individuals with a need-to-know.”


In some instances, respondents are unable to provide certain data elements needed to complete the collection requirements. The data, however, may be available from a secondary source such as an insurer, union, or accounting firm. When this occurs, it becomes necessary for the BLS to go to a secondary source for the information. In these cases, the BLS requests verbal consent from the establishment to solicit the information from the secondary source (examples: union benefit fund or commercial payroll processing firm.)


11. Sensitive Questions


Aside from the sensitivity attached to payroll information, no other sensitive questions are asked during the survey.


12. Estimated Reporting Burden


Estimates of respondent burden are provided in this section for all activities associated with the NCS program. For the purposes of the discussion of respondent burden and BLS cost, collection is divided into two categories: initiations and updates. In an initiation, the respondent is contacted for the first time. The BLS field economist samples the jobs for study, collects the pay and benefit information, and sets up the updating process. In an update, information is collected on the same jobs that were sampled in initiation. The field economist records any changes to employment characteristics or compensation since the initiation, or since the last update. Thus, updates generally take far less time than initiations.


Broadly stated, both private industry and State/local government establishments in the survey fall into one or more of the three categories below. Each of these categories, with the percentage of establishments expected in each category over the three years, is listed below.


1) Establishments where pay and benefits data are collected and updated quarterly (some of these benefits may only change annually). The BLS collects data on pay and benefit costs every quarter from all establishments.


2)  Feasibility testing to determine the best ways to collect compensation.  These represent about 10 percent of the estimated establishments in the NCS.  Tests are conducted to improve survey procedures and processes, produce data that are more accurate, investigate compensation practices, and to help lower respondent burden.  Over the next three years examples of some specific tests that will be conducted are to improve electronic data collection processes, to explore the feasibility of collecting additional details about the implementation and impact of the Affordable Care Act.


3) Follow-up establishment interviews for quality assurance activities on the collected data. The NCS has a formal review policy where reviewers select approximately 5 percent of all establishments for re-contact.


This relatively simple picture becomes more complex when taking into account the various types of data collected. The following list breaks the activities down into the types of collection.

Activity (1a) - Initiation of establishments in the NCS sample.

Activity (1b) - Updating of establishments in the NCS sample. Data from these establishments are updated quarterly.

Activity (2) - Tests of compensation collection.


Activity (3a) - Re-interview for quality assurance activities of initiations.


Activity (3b) - Re-interview for quality assurance activities of updates.


Estimates of net respondent burden associated with these collection activities in FY 2015, FY 2016 and FY 2017 are broken out by affected publics (private sector, State and local governments) and provided on the following pages.

Table 1a. Anticipated private sector sample burden by activity type for FY 2015 (annual figures)


Collection Activity

Number of
Respondents Per Activity (Net)

Responses
Per
Respondent

Total
Annual
Responses by Activity

Minutes
Per
Response

Total
Hours

Activity 1a—Initiation of NCS data

2475

1

2475

254

10478

Activity 1b—Updates of NCS data

11451

3.80

43514

40

29009

Activity 2—Feasibility survey testing

600

1

600

60

600

Activity 3a—Re-interview for quality assurance activities of initiations

83

1

83

15

21

Activity 3b—Re-interview for quality assurance activities of updates

573

3.80

2177

15

544

FY 2015 Totals annually


15182


48849


40652


Table 1b. Anticipated private sector sample burden by activity type for FY 2016 (annual figures)


Collection Activity

Number of
Respondents Per Activity (Net)

Responses
Per
Respondent

Total
Annual
Responses by Activity

Minutes
Per
Response

Total
Hours

Activity 1a—Initiation of NCS data

925

1

925

254

3916

Activity 1b—Updates of NCS data

9754

3.91

38138

40

25425

Activity 2—Feasibility survey testing

600

1

600

60

600

Activity 3a—Re-interview for quality assurance activities of initiations

46

1

46

15

12

Activity 3b—Re-interview for quality assurance activities of updates

488

3.91

1908

15

477

FY 2016 Totals annually


11813


41617


30430

Table 1c. Anticipated private sector sample burden by activity type for FY 2017 (annual figures)


Collection Activity

Number of
Respondents Per Activity (Net)

Responses
Per
Respondent

Total
Annual
Responses by Activity

Minutes
Per
Response

Total
Hours

Activity 1a—Initiation of NCS data

3341

1

3341

254

14144

Activity 1b—Updates of NCS data

10388

4

41552

40

27701

Activity 2—Feasibility survey testing

600

1

600

60

600

Activity 3a—Re-interview for quality assurance activities of initiations

167

1

167

15

42

Activity 3b—Re-interview for quality assurance activities of updates

519

4

2076

15

519

FY 2017 Totals annually


15015


47736


43006


Table 2a. Anticipated State and local government sample burden by activity type for FY 2015 (annual figures)


Collection Activity

Number of
Respondents Per Activity (Net)

Responses
Per
Respondent

Total
Annual
Responses by Activity

Minutes
Per
Response

Total
Hours

Activity 1a—Initiation of NCS data

399

1

399

254

1689

Activity 1b—Updates of NCS data

1596

4

6384

40

4256

Activity 2—Feasibility survey testing

100

1

100

60

100

Activity 3a—Re-interview for quality assurance activities of initiations

20

1

20

15

5

Activity 3b—Re-interview for quality assurance activities of updates

80

4

320

15

80

FY 2015 Totals annually


2195


7223


6130



Table 2b. Anticipated State and local government sample burden by activity type for FY 2016 (annual figures) which carries forward from previous sample


Collection Activity

Number of
Respondents

Per Activity (Net)

Responses
Per
Respondent

Total
Annual
Responses by Activity

Minutes
Per
Response

Total
Hours

Activity 1a—Initiation of NCS data

1197

1

1197

254

5067

Activity 1b—Updates of NCS data

1892

4

7568

40

5045

Activity 2—Feasibility survey testing

100

1

100

60

100

Activity 3a—Re-interview for quality assurance activities of initiations

60

1

60

15

15

Activity 3b—Re-interview for quality assurance activities of updates

95

4

380

15

95

FY 2016 Totals annually


3344


9305


10322


Table 2c. Anticipated State and local government sample burden by activity type for FY 2017 (annual figures) which carries forward from previous sample


Collection Activity

Number of
Respondents

Per Activity (Net)

Responses
Per
Respondent

Total
Annual
Responses by Activity

Minutes
Per
Response

Total
Hours

Activity 1a—Initiation of NCS data






Activity 1b—Updates of NCS data

1596

4

6384

40

4256

Activity 2—Feasibility survey testing

60

1

60

60

60

Activity 3a—Re-interview for quality assurance activities of initiations






Activity 3b—Re-interview for quality assurance activities of updates

80

4

320

15

80

FY 2017 Totals annually


1736


6764


4396



The table below summarizes the data, including figures on the actual number of respondents to be contacted each year.


Table 3: Anticipated private sector average responses and burden by Fiscal Year


Fiscal Year

Respondents

Average responses per year

Total # of

Responses

Average minutes per response

Total hours

FY 2015

15182

3.2176

48849

49.9318

40652

FY 2016

11813

3.5230

41617

43.8715

30430

FY 2017

15015

3.1792

47736

54.0548

43006







Overall

Average

14003

3.2898

46067

49.5309

38029

Private sector averages include both initiation, update of establishment data, and quality assurance contacts.


Table 4: Anticipated State and local government average responses and burden by Fiscal Year


Fiscal Year

Respondents

Average responses per year

Total # of

Responses

Average minutes per response

Total hours

FY 2015

2195

3.2907

7223

50.9207

6130

FY 2016

3344

2.7826

9305

66.5578

10322

FY 2017

1736

3. 8963

6764

38.9947

4396







Overall

Average

2425

3.2016

7764

53.7017

6949

State and local government averages include both initiation, update of establishment data, and quality assurance contacts.


The NCS gets few State and local government refusals to cooperate and that sample normally runs at a 95 percent response rate, reflecting change over time.


For all ECI establishments (both private industry and State and local governments) a response rate of 78 percent was reported for September 2014, using year to date averages. All estimates are based on studies of past experience.


For the ECI survey collected quarterly, in September 2014 91 percent of viable establishments that provided initial data continued to provide data, using year to date averages.


The BLS estimates that NCS feasibility special studies will have a response rate of 85 percent. Finally, the BLS estimates that re-interview for quality assurance activities will have a response rate approaching 100 percent of those who participate in each survey.


The BLS estimates that for NCS schedules, an anticipated 4.23 hours of respondent time will be required for initial collection: 1.23 hours for the completion of the general information and pay component, and 3 hours for the completion of benefits. The BLS estimates that updates for the NCS schedules will take 40 minutes for establishments where both pay and benefits are collected.


The BLS estimates that follow-up re-interview for quality assurance activities will take 15 minutes. Because of the nature of a quality assurance re-interview, the time required is not dependent on the time required for initial collection.


Estimates of net respondent burden associated by collection activities in FY 2015, FY 2016, and FY 2017 follow.


Table 5. Anticipated burden by activity type in FY 2015 – October 2014 to September 2015


Collection Activity

Number of
Respondents

Per Activity (Net)

Responses
Per
Respondent

Total
Annual
Responses by Activity

Minutes
Per
Response

Total
Hours

Activity 1a—Initiation of NCS data

2874

1

2874

254

12167

Activity 1b—Updates of NCS data

13047

3.82

49898

40

33265

Activity 2—Feasibility survey testing

700

1

700

60

700

Activity 3a— Re-interview for quality assurance activities of initiations

103

1

103

15

26

Activity 3b— Re-interview for quality assurance activities of updates

653

3.82

2497

15

624

FY 2015 Total


17377


56072


46782

*Re-interview respondents are not included in the total number as they are included in the previous activities.

Table 6. Anticipated burden by activity type in FY 2016 – October 2015 to September 2016


Collection Activity

Number of
Respondents

Per Activity (Net)

Responses
Per
Respondent

Total
Annual
Responses by Activity

Minutes
Per
Response

Total
Hours

Activity 1a—Initiation of NCS data

2122

1

2122

254

8983

Activity 1b—Updates of NCS data

11646

3.92

45706

40

30470

Activity 2—Feasibility survey testing

700

1

700

60

700

Activity 3a— Re-interview for quality assurance activities of initiations

106

1

106

15

27

Activity 3b— Re-interview for quality assurance activities of updates

583

3.92

2288

15

572

FY 2016 Total


15157


50922


40752

*Re-interview respondents are not included in the total number as they are included in the previous activities.


Table 7. Anticipated burden by activity type in FY 2017 – October 2016 to September 2017


Collection Activity

Number of
Respondents

Per Activity (Net)

Responses
Per
Respondent

Total
Annual
Responses by Activity

Minutes
Per
Response

Total
Hours

Activity 1a—Initiation of NCS data

3341

1

3341

254

14144

Activity 1b—Updates of NCS data

11984

4

47936

40

31957

Activity 2—Feasibility survey testing

660

1

660

60

660

Activity 3a— Re-interview for quality assurance activities of initiations

167

1

167

15

42

Activity 3b— Re-interview for quality assurance activities of updates

599

4

2396

15

599

FY 2017 Total


16751


54500


47402

*Re-interview respondents are not included in the total number as they are included in the previous activities.


The table below summarizes the data, including figures on the actual number of respondents to be contacted each year.


Table 8: Anticipated average responses and burden by Fiscal Year


Fiscal Year

Respondents

Average responses per year

Total # of

Responses

Average minutes

Total hours

FY 2015

17377

3.2268

56072

50.0592

46782

FY 2016

15157

3.3596

50922

48.0170

40752

FY 2017

16751

3.2535

54500

52.1857

47402

Overall

Average

16428

3.2768

53831

50.1336

44979


Overview of NCS collection forms/screens


The NCS has 10 different forms/screens for data collection as different activities during data collection call for unique forms. Both private industry and government versions exist for 4 of the 10 form/screen types. Copies of these forms are included in this clearance package.


These forms are primarily used as note-taking devices by the field economists (BLS staff). The field economists ask probing questions that will vary depending on the knowledge level of the respondent. The forms provide the field economist with a list of the required information needed for the survey, not a list of questions. For quality assurance re-interviews, the field economists will ask for specific items of data in a prescribed manner from data stored in the electronic database. NCS considers the establishment data in the electronic database the official copy of the establishment data for survey purposes.


The following table gives the burden level of each form. Since one respondent will often be asked information for multiple forms, the number of total respondents and responses is higher than the figures given in Tables 4-6. In those tables, a respondent who provided information for multiple forms would be counted as one respondent and one response. Table 10 counts such a situation as multiple respondents and multiple responses and relates forms to initiation and update data collection. Data on Table 10 are annualized averages for FY 2015, FY 2016, and FY 2017.



Table 9. Functions and uses of NCS forms


Form

Function

Activities used

Time

Establishment collection, work level and schedule form (NCS Form 15-1G )

Government General Establishment Information, work level and schedule; records check of these data


Initiation general information (1a); Quality assurance checks initiation (3a)

Time 54 minutes for activity 1a. Time 15 minutes for activity 3a

Establishment collection, work level and schedule form (NCS Form 15-1P )

Private Industry General Establishment Information, work level and schedule; records check of these data

Initiation general information (1a); Quality assurance checks initiation (3a)

Time 54 minutes for activity 1a. Time 15 minutes for activity 3a

Earnings form (NCS Form 15-2G)

Government Earnings data; records check of earnings data

Wage initiation (1a);

Quality assurance checks wage initiation (3a)

Time 20 minutes for activity 1a. Time 5 minutes for activity 3a

Earnings form (NCS Form 15-2P)

Private Industry Earnings data; records check of earnings data

Wage initiation (1a);

Quality assurance checks wage initiation (3a)

Time 20 minutes for activity 1a. Time 5 minutes for activity 3a

Wage Shuttle form (the computer generated earnings update form )

Updating earnings data; records check of earnings data

Wage update (1b);

Quality assurance checks wage update (3b)

Time 20 minutes for activity 1b., Time 5 minutes for activity 3b

Benefits Collection Form (NCS 15-3G)

Government Collection of benefits for new government units; records check of this collection

Benefit initiation (1a);

Quality assurance checks benefit initiation (3a) initiation

Quality assurance checks benefit initiation

Time 180 minutes for activity 1a. Time 5 minutes for activity 3a.


Benefits Collection Form (NCS 15-3P)

Private Industry Collection of benefits for new government units; records check of this collection

Benefit initiation (1a);

(3a) initiation;

Quality assurance checks of benefit initiation (3a)

Time 180 minutes for activity 1a.

Time 5 minutes for activity 3a.

Time 10 minutes for activity 1a.

Summary of Benefits (Benefit update form SO-1003)

Update of benefits data for all establishments; records check of this collection

Update (1b);

Quality assurance checks benefit update (3b)

Time 20 minutes for activity 1b. 5 minutes for activity 3b

IDCF Government

Entry screens for SSL Website

Establishment identification and up load of update data (1b) for firms that use this option

Time 4 minutes for activity 1b.

IDCF Private

Entry screens for SSL Website

Establishment identification and up load of update data (1b) for firms that use this option

Time 4 minutes for activity 1b.



Table 10: Anticipated annual respondent collection burden by form average of FY 2015-2017



Form

Total
Respondents Per Form

Frequency

Total Annual Responses

Average
Minutes for the Predominant Form Use

Total

Hours

Establishment collection form (NCS Form 15-1G)

532

1

532

54

479

Establishment collection form (NCS Form 15-1P)

2247

1

2247

54

2022

Earnings form (NCS Form 15-2G)

532

1

532

20

177

Earnings form (NCS Form 15-2P)

2247

1

2247

20

749

Wage Shuttle form computer generated earnings update form #

12226

4

48904

20

16301

Benefits Collection Form (NCS 15-3G)

532

1

532

180

1596

Benefits Collection Form (NCS 15-3P)

2247

1

2247

180

6741

Summary of Benefits (Benefit update form SO-1003) is computer generated #

12226

4

48904

20

16301

Collection not tied to a specific form (testing, Quality Assurance/Quality Measurement, etc.)

1423


3205


613

TOTALS

34212


109350


44979

# Includes IDCF form time (Respondents have two reporting options using Web-based screens with SSL encryption on a secure web-site.)


Individual respondent cost per year (for all responses) is expected to be an average of $35.09 for FY 2015, $33.66 for 2016 and $36.59 for 2017. This amount is based on an average cost of $42.06 per hour per respondent. The estimate, based on past experience, is that 70 percent of reporting time comes from professional and related workers, and the remaining 30 percent comes from office and administrative support workers. Professional and related specialty earned an average of $49.51 per hour in total compensation; office and administrative support workers earned an average of $24.66 per hour in total compensation. (Hourly costs of pay and benefits measured by the Employer Cost for Employee Compensation data series for Civilian workers in June, 2014.) http://www.bls.gov/news.release/pdf/ecec.pdf The figure of $42.06 is a weighted hourly average.


Estimated annualized cost to all respondents for all activities is of $1,967,651 for FY 2015, $1,714,071 for 2016 and $1,993,728 for 2017. These totals are based on an average hourly cost of $42.06 to the respondent.


13. Cost Burden to Respondents


There are no capital and start-up costs or operation and maintenance and purchase of service costs resulting from the collection of this information.


14. Estimated Cost of the Survey


The estimated cost of the survey is $53 million for FY 2015. NCS collection cost is $25 million and non-collection cost is $28 million.


15. Program Changes or Adjustments


The NCS private industry sample is now on a 3 year collection cycle, with 1 year frozen sample to initiate a new State and local government sample. The State and local government sample is planned to be resampled in 10 years.


The burden increase of 8,049 hours is due to the NCS transition to a 3 year collection cycle.  Under this cycle design for NCS, most private industry establishments only will be in the sample for 3 years compared to previously being in the survey 5 years.  The first year of the private industry cycle also has greater initiation burden hours as the aircraft manufacturing and large firms with a sample weight of 1 enter the survey during that year.  


16. Plans for Tabulation, Statistical Use, and Publication


Nationwide and locality based quarterly change in compensation data is released shortly after the close of collection for each quarter. ECI and Employer Costs for Employee Compensation (ECEC) are published on a national and a locality basis. Finally, detailed information will be available annually on the incidence of benefits and benefit provisions.


Employee benefits news releases and publications have a large number of tabulations, including tabulations linking wage levels to benefit incidence rates, counts of establishments offering major benefits to at least one employee, Census division breakouts, and new benefit items.

All published estimates from the NCS are available on the BLS internet site, www.bls.gov. Included on this site are several query tools that allow users to indicate the type of data desired. Customized tabulations are returned.


Data will be adjusted for non-responses (Establishments may either refuse to provide any data or may refuse to provide data for certain occupations or benefits items). The adjustment consists of revising the weights used to aggregate the individual establishments and occupations. In addition, the BLS imputes missing items on pay, benefits costs, participation rates, and provisions.


The BLS also adjusts the weights in a process known as benchmarking. This process adjusts weights to reflect changes in employment that occur between the compilation of the universe from which the sample is drawn and the reference date of publication.


A detailed description of the statistical procedures used in compiling the data is presented in Part B.


17. Approval to not Display the OMB Expiration Date


Approval to not display the expiration date for OMB approval is not being sought.


18. Exceptions to the Certification Statement


There are no exceptions to the certification statement.


.

1 For example, according to the most recent NCS Employee Benefits in the United States --March 2014. 84 percent of private industry establishments of over 100 or more employees have health care benefits, as compared to 57 percent of establishments with fewer than one hundred employees. Just as strikingly, 82 percent of private industry establishments with one hundred or more employees offered retirement benefits, as compared to 50 percent of those in establishments with fewer than one hundred employees.

http://www.bls.gov/news.release/pdf/ebs2.pdf>


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File TitleOMB Supporting Statement
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AuthorPaul Carney
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File Created2021-01-23

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