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Job Vacancy Survey Methodology

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Fourth Quarter 2018

Sample Design

Information on job vacancies for the fourth quarter 2018 Minnesota Job Vacancy Survey comes from a survey of 10,298 Minnesota firms. Surveyed employers were randomly selected from Minnesota's Quarterly Census of Employment and Wages (QCEW). These firms were selected from the universe of firms that were doing business in Minnesota during fourth quarter 2017. Firms were selected based on a sampling procedure that stratified by Economic Development Region, firm size (one to nine employees; 10 to 49 employees; 50 to 249 employees; and 250 employees or more), and 20 industrial sectors.

Twenty major industrial sectors, defined by the North American Industry Classification System (NAICS), are represented in the survey sample as shown in the table below:

NAICS INDUSTRY

INDUSTRY DESCRIPTION

Agriculture

Firms engaged in growing crops, raising animals, harvesting timber, and harvesting fish and other animals from a farm, ranch, or their natural habitats.

Mining

Firms that extract naturally occurring mineral solids, such as coal and ores; liquid minerals, such as crude petroleum; and gasses, such as natural gas.

Utilities

Firms engaged in the provision of the following utility services: electric power, natural gas, steam supply, water supply, and sewage removal.

Construction

Firms engaged in the construction of buildings and other structures, heavy construction, additions, alterations, reconstruction, installations, and maintenance and repairs.

Manufacturing

Firms engaged in the mechanical, physical, or chemical transformation of materials, substances, or components into new products.

Wholesale Trade

Firms engaged in wholesale merchandising, generally without transformation, and rendering services incidental to the sale of merchandise.

Retail Trade

Firms engaged in retailing merchandise, generally without transformation, and rendering services incidental to the sale of merchandise.

Transportation and Warehousing

Firms engaged in the transportation of passengers and cargo, warehousing and storage for goods, scenic and sightseeing transportation, and support activities related to modes of transportation.

Information

Firms engaged in the production, processing and distribution of information and cultural products.

Finance and Insurance

Firms engaged in financial transactions (including the creation, liquidation, or change in ownership of financial assets) and/or facilitating financial transactions.

Real Estate

Firms engaged in renting, leasing, or otherwise allowing for the use of tangible or intangible assets, and establishments providing related service.

Technical Services

Firms specializing in performing professional, scientific, and technical activities for others.

Management

Firms who hold the securities of companies and enterprises for the purpose of controlling interest or influencing management decisions or who administer, oversee, and manage the company in a strategic, organizational, or decision-making role.

Administrative and Support

Firms providing routine support activities for the day-to-day operations of other organizations.

Educational Services

Firms providing instruction and training on a wide variety of subjects.

Healthcare

Firms providing healthcare and social assistance to individuals.

Arts and Entertainment

Firms engaged in providing services to meet the varied cultural, entertainment, and recreational interests of their patrons.

Accommodation

Firms providing customers with lodging and/or preparation of meals, snacks and beverages for immediate consumption.

Other Services

Firms engaged in providing services not specifically provided for elsewhere in the classification system.

Public Administration

Federal, state and/or local agencies that administer, oversee, and manage public programs and have executive, legislative, or judicial authority over other institutions in a given area.

Source: North American Industry Classification System, United States. NAICS Web page: www.census.gov/eos/www/naics/.

Firms excluded from the sampling process included those in private households and personnel service industries and those firms with no employees.

Survey Instrument, Procedure and Results

Contact information, firm size, and industry classification for firms were drawn from the Quarterly Census of Employment and Wages (QCEW) data maintained by the Minnesota Department of Employment and Economic Development (DEED). Additional contact information was obtained through telephone calls and websites.

About half of employers were sent letters and survey questionnaires during the quarter and asked to supply information on current job vacancies including rates of pay, education and experience requirements, and benefits. Firms without job vacancies were also asked to return the survey reporting “no vacancies”. Additional survey mailings and follow-up telephone calls were used to solicit survey responses.

Data was collected by staff directly from firm websites for about 3,515 firms in the sample. These tended to be the larger firms. About 69.3 percent of raw (unweighted) openings were collected directly from employer websites and 30.6 percent were collected by mail, phone, fax or another method.

One drawback of website collection is that very few employers include wage offers on job postings. In order to supplement our wage offer data collection, we sent a survey to just over 1,000 firms. The survey listed the job vacancies that we had obtained from their website and requested that they provide wage offers (or ranges) for each position. As a result, 40 percent of the raw unweighted vacancies had wage offers reported. We plan to continue this wage survey in subsequent rounds.

Following a review of the survey results and coding to an occupational (SOC) category (see section on SOC coding below), the data were scaled to produce estimates representative of Minnesota's labor market by Economic Development Region. The scaling process takes account of the distribution of job vacancies and overall employment by industry and size in the respondent group and in the universe of regional employers.

Breaks in Series and Re-estimation Processes

In second quarter 2005, we changed the regional stratification from Planning Regions to Economic Development Regions (EDR). Since the estimation method did not change and Planning Region level data are still produced, comparisons to previous rounds remain valid.

Starting with the second quarter of 2007 survey round, we made some slight adjustments to the classification of the “very small” and “small” size classes. The “very small” size class was altered to include companies with one to nine employees, where before it included only employers with one to four employees. The “small” size class was adjusted to include only those companies with 10 to 49 employees. This change was made to better group smaller companies that have similar hiring practices. This change does produce a break in the time series for these size classifications.

Due to changes in methodology made for the fourth quarter of the 2001 survey round, comparisons of estimated job vacancies to the fourth quarter of 2000 and second quarter of 2001 rounds should be made with caution. In order to make any comparisons between all rounds of the survey, job vacancy totals from fourth quarter 2000 and second quarter 2001 were re-estimated. Comparisons of job vacancy totals in the Minnesota Job Vacancy Survey report use the re-estimated job vacancy totals and not the estimated job vacancies reported in the fourth quarter of 2000 and second quarter 2001 Minnesota Job Vacancy Survey reports.

Finally, in fourth quarter 2012 we made changes to the estimation process in response to an analysis conducted by the Minneapolis Federal Reserve in 2011 which showed that wage estimates probably understate wage offers in the population of job vacancies. The study found that our method of collecting some job vacancies on-line leads to a systematic underreporting of wages. This is due to the fact that fewer than 20 percent of job postings available on-line report wage offers and the job vacancies collected on-line tend to be the higher skill/wage vacancies (on-line collection tends to be done for the largest firms including headquarters, colleges and universities and hospitals, for example). Their recommendation was to impute wage offers.

In response, we are now imputing wage offers for all reported vacancies where wages are missing. We are also imputing education, experience, and benefits offered where they are missing. This had the result of increasing the median wage from $12.00 to $13.14 during the fourth quarter of 2012 round.

At this time, all estimates have been revised for all years available on our website.

For more information, please call Oriane Casale in the Labor Market Information Office at 651-259-7383 or e-mail oriane.casale@state.mn.us

Matching Job Titles to the Standard Occupational Classification (SOC) System

A total of 18,795 specific open-for-hire job titles were collected through the data collection process. Analysts reviewed these job titles and matched them to appropriate Standard Occupational Classification (SOC) titles. The 2010 SOC structure used in this study is a set of six-digit occupational codes that is currently being used by a number of different agencies, including the Bureau of Labor Statistics and the Bureau of the Census, to classify occupations.

The 2010 SOC is a four-tiered structure with 840 detailed occupations that can be summarized into 461 broad occupations, 97 minor occupational groups, and 23 major occupational groups. For the purpose of this study, occupational information is presented at both the major occupational group and detailed occupational levels. Major occupational groups include the following:

MAJOR OCCUPATIONAL GROUP

SAMPLE OCCUPATIONS

Management

Educational Administrators, Marketing Managers, and Medical and Health Service Managers

Business and Financial Operations

Accountants, Financial Analysts, and Human Resource Specialists

Computer and Mathematical

Actuaries, Computer Programmers, and Computer Support Specialists

Architecture and Engineering

Architects, Chemical Engineers, and Drafters

Life, Physical and Social Science

Anthropologists, Chemists, and Geographers

Community and Social Service

Clergy, Health Educators, and Marriage and Family Therapists

Legal

Court Reporters, Lawyers, and Paralegals

Education, Training and Library

Librarians, Post-secondary Teachers, and Special Education Teachers

Art, Design, Entertainment Sports and Media

Coaches, Producers and Directors, and Radio Operators

Healthcare Practitioners and Technical

Dentists, Physicians, and Registered Nurses

Healthcare Support

Dental Assistants, Home Health Aides, and Pharmacy Aides

Protective Service

Animal Control Workers, Detectives, and Police Officers

Food Preparation and Serving Related

Cooks, Food Preparation Workers, and Waiters and Waitresses

Building, Grounds Cleaning and Maintenance

Housekeeping Cleaners, Janitors, and Pest Control Workers

Personal Care and Service

Child Care Workers, Hairdressers and Hairstylists, and Personal and Home Care Aides

Sales and Related

Cashiers, Insurance Sales Agents, and Retail Salespersons

Office and Administrative Support

Customer Service Representatives, Tellers, and Secretaries

Farming, Fishing and Forestry

Agricultural Inspectors, Animal Breeders, and Farmers

Construction and Extraction

Construction Laborers, Carpenters, and Electricians

Installation, Maintenance and Repair

Automotive Service Technicians and Mechanics, Motorcycle Mechanics, and Millwrights

Production

Butchers and Meat Cutters, Foundry Mold and Coremakers, and Machinists

Transportation and Material Moving

Airline Pilots, Bus Drivers, and Truck Drivers


In matching employer job titles to detailed occupational SOC codes and titles, analysts were careful to match vague titles, such as "Laborer", to appropriate codes by examining industry, wage, education and experience information provided by employers and when necessary looking back at on-line job postings for more detail. As a result of this process, job vacancies for this round are reported in a total of 619 occupational codes. Not all of these are published: Three firms must be represented in a cell to meet publication criteria.

Internships were coded to 910000 and apprenticeships to 920000, neither of which are SOC codes but simply a way to separate out internships and apprenticeships from other jobs. To be considered a job vacancy, these postings had to indicate that the position was paid.

For more information on the Standard Occupational Classification (SOC) System, see the SOC Web page at: www.bls.gov/soc/.

Occupational Employment Estimates

The Local Employment and Wage Information System (LEWIS) provides occupational employment estimates for the state of Minnesota and its 13 Economic Development Regions. LEWIS uses the results of the annual Occupational Employment Survey (OES) in the calculation of employment within occupational groups and detailed occupations for user-defined areas such as the state, Greater Minnesota, and the Twin Cities seven-county metropolitan area.

Survey Response Rates

The overall survey response rate for this round is 74.5 percent. The following tables provide response rates by survey strata.

Survey Response Rates by Firm Size and Industry for Minnesota

Size of Firm

Sample

Received

Response Rate

Very Small (1 to 9 employees)

1,635

1,150

70%

Small (10 to 49 employees)

3,028

2,107

70%

Medium (50 to 249 employees)

4,195

3,032

72%

Large (250 or more employees)

1,440

1,224

85%

Industry

Sample

Received

Response Rate

Accommodation

187

120

64%

Administrative and Support

107

77

72%

Agriculture

166

155

93%

Arts and Entertainment

384

250

65%

Construction

880

613

70%

Educational Services

344

236

69%

Finance and Insurance

1,127

715

63%

Healthcare

507

376

74%

Information

222

160

72%

Management

325

239

74%

Manufacturing

206

139

67%

Mining

607

419

69%

Other Services

228

182

80%

Professional and Technical Services

621

412

66%

Public Administration

406

366

90%

Real Estate

1,938

1,548

80%

Retail Trade

312

218

70%

Transportation and Warehousing

1,038

691

67%

Utilities

328

241

73%

Wholesale Trade

365

356

98%

Total

10,298

7,513

73%


Survey Response Rates by Firm Size and Industry for the Twin Cities

Size of Firm

Sample

Received

Response Rate

1vsm

308

227

74%

2sml

1,231

822

67%

3med

2,644

1,820

69%

4lrg

930

770

83%

Industry

Sample

Received

Response Rate

Accommodation

16

13

81%

Administrative and Support

12

7

58%

Agriculture

22

20

91%

Arts and Entertainment

166

114

69%

Construction

434

288

66%

Educational Services

163

107

66%

Finance and Insurance

704

450

64%

Healthcare

295

209

71%

Information

65

49

75%

Management

155

117

75%

Manufacturing

84

54

64%

Mining

440

301

68%

Other Services

97

76

78%

Professional and Technical Services

386

253

66%

Public Administration

112

101

90%

Real Estate

1,018

788

77%

Retail Trade

144

101

70%

Transportation and Warehousing

488

327

67%

Utilities

173

126

73%

Wholesale Trade

139

138

99%

Total

5,113

3,639

71%



Survey Response Rates by Firm Size and Industry for Greater Minnesota

Size of Firm

Sample

Received

Response Rate

1vsm

1,327

923

70%

2sml

1,797

1,285

72%

3med

1,551

1,212

78%

4lrg

510

454

89%

Industry

Sample

Received

Response Rate

Accommodation

171

107

63%

Administrative and Support

95

70

74%

Agriculture

144

135

94%

Arts and Entertainment

218

136

62%

Construction

446

325

73%

Educational Services

181

129

71%

Finance and Insurance

423

265

63%

Healthcare

212

167

79%

Information

157

111

71%

Management

170

122

72%

Manufacturing

122

85

70%

Mining

167

118

71%

Other Services

131

106

81%

Professional and Technical Services

235

159

68%

Public Administration

294

265

90%

Real Estate

920

760

83%

Retail Trade

168

117

70%

Transportation and Warehousing

550

364

66%

Utilities

155

115

74%

Wholesale Trade

226

218

96%

Total

5,185

3,874

75%

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