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Longitudinal Employer-Household Dynamics

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Veteran Employment Outcomes (VEO)

Veteran Employment Outcomes (VEO) are new experimental Census Bureau statistics on labor market outcomes for recent Army veterans. These statistics are tabulated by occupation, employer industry (if employed), and various veteran characteristics. They are generated by matching service member information with a national database of jobs, using state-of-the-art confidentiality protection mechanisms to protect the underlying data.

The VEO are made possible through data sharing partnerships between the U.S. Army, State Labor Market Information offices, and the U.S. Census Bureau. VEO data are currently only available at the national level. State-level VEO data will be released in forthcoming weeks.

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Download Public-Use Data

We release a file for each crossing as well as a comprehensive dataset, which includes all crossings. Data files are provided in zipped CSV or XLS formats, respectively, and can be downloaded below. The XLS file has variable labels attached.

Table Name Defining Characteristic(s) Cohort Length Format Metadata
VEOPU All Tables Varies XLSX TXT
VEOA Age 2 CSV
VEOE Education 2 CSV
VEONS Industry 2 CSV
VEOO2NS 2-digit DOD Occupation Code by Sector 8 CSV
VEOO2P 2-digit DOD Occupation Code by Pay Grade 4 CSV
VEOO3 3-digit DOD Occupation Code 8 CSV
VEOP Pay Grade 2 CSV
VEORH Race by Ethnicity 2 CSV
VEOS Sex 2 CSV
VEOT AFQT Score Tercile 2 CSV
VEOX Experience 2 CSV

VEO Help

Learn more about VEO by choosing one of the links below.




VEO data can also be accessed via the VEO Explorer visualization tool. This interactive tool allows for comparisons of veterans outcomes via an easy-to-use line and bar chart interface. To browse the VEO data files in their directory structure or to access them with a FTP program (must be able to access HTTP), go to: lehd.ces.census.gov/data/veo/. Variable lists and data dictionaries can be found in the the Help box.



Methodology


Introduction

Veteran Employment Outcomes (VEO) are experimental tabulations developed by the Longitudinal Employer-Household Dynamics (LEHD) program in collaboration with the U.S. Army and state agencies. VEO data provide earnings and employment outcomes for Army veterans after discharge by rank and military occupation, as well as veteran and employer characteristics. The current VEO is released as a research data product in "experimental" form.

The VEO provide data on earnings and employment for recently discharged Army veterans. Earnings are available at the 25th, 50th, and 75th percentiles, one, five, and 10 years after discharge, by rank, occupation, and discharge cohort. Selected tables include industry and location of employment for veterans. These statistics are generated by matching university transcript data with a national database of jobs, using state-of-the-art confidentiality protection mechanisms to protect the underlying data.

The VEO also use cutting-edge differential privacy methods to protect the confidentiality of the underlying data, a protection method developed in computer science to bound the privacy risk to individuals from multiple queries to the same database. Differential privacy methods allow the Census Bureau to release detailed tabulations on student outcomes while minimizing the privacy risk to individuals in the data.

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Data Sources

The source of veteran information in the VEO is administrative record data from the Department of the Army, Office of Economic and Manpower Analysis. This personnel data contains fields on service member characteristics, such as service start and end dates, occupation, pay grade, characteristics at entry (e.g. education and test scores), and demographic characteristics (e.g. sex, race and ethnicity). Once the Army service member record data is transferred to the Census Bureau, personally-identifying information is stripped from the record and it is assigned a Protected Identification Key (PIK) that allows for service members to be matched with their employment outcomes in Census Bureau jobs data.

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Veteran Population Coverage

The VEO data covers all Army service members who have completed their initial term of service - meaning they have served the time they signed up for when they enlisted and were not discharged early - and were discharged between 2000 and 2015. We additionally restrict our sample to service members who have completed active-duty service as enlisted soldiers (not as officers or warrant officers) and have final ranks E1-E9. Discharge rates for more senior military personnel are not sufficiently large to produce VEO statistics without significant statistical noise to protect those records.

Note that veterans are omitted from the earnings and employment outcome statistics when they have insufficient labor market attachment in the reference year. For example, a veteran with zero earnings for three quarters of the calendar year but positive earnings in a single quarter will not be included in the earnings statistics or employment counts. These graduates are omitted as the VEO is intended to reflect earnings and employment for veterans who work throughout the year. More specifics on the labor force attachment restrictions are provided in the earnings section.

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Employment Coverage

The LEHD data at the U.S. Census Bureau is a quarterly database of jobs covering over 96% of employment in the United States. The core jobs data are state unemployment insurance (UI) wage records collected via a voluntary federal-state data sharing partnership. These job records are then supplemented with U.S. Census Bureau surveys and other federal agency administrative records to supply additional information on the characteristics of the workers and firms. This linked employer-employee data for the U.S. is the source data for Census Bureau's Quarterly Workforce Indicators (QWI), LEHD Origin-Destination Employment Statistics (LODES), and Job-to-Job Flows (J2J). More information about the LEHD data is available in Abowd et al. (2009).

Private-industry employment: Covered private-industry employment in the LEHD data includes most corporate officials, all executives, all supervisory personnel, all professionals, all clerical workers, many farmworkers, all wage earners, all piece workers, and all part-time workers. Workers on paid sick leave, paid holiday, paid vacation, and the like are also covered. Workers on the payroll of more than one firm during the period are counted by each employer that is subject to UI, as long as those workers satisfy the preceding definition of employment. Workers have UI wages filed in every quarter they are covered, even though their wages may not be subject to UI tax in the latter months of the year.

Notable exclusions from UI coverage among private sector employers are independent contractors, the unincorporated self-employed, railroad workers covered by the railroad unemployment insurance system, some family employees of family-owned businesses, certain farm workers, students working for universities under certain cooperative programs, salespersons primarily paid on commission, and workers of some non-profits. States have some leeway in designating coverage, for a complete list, see the coverage section of the most recent Comparison of State UI laws. This link to a non-federal Web site does not imply endorsement of any particular product, company, or content.

State and local government employment: Covered employment in the LEHD data includes most employees of state and local governments with the exception of elected officials, members of a legislative body or members of the judiciary, and some emergency employees.

Federal government employment: Federal government workers are not covered by state UI. LEHD uses data from the Office of Personnel Management (OPM) to generate earnings and employment histories for federal workers. The OPM data covers most federal employees but excludes White House officials, members of Congress, and certain national security agencies, which are excluded for security reasons. Members of the armed forces and the U.S. Postal Service are not covered in OPM data. The OPM data has coverage for 2000-2015.

UI coverage across years: Availability of state UI data in the LEHD system varies by state. LEHD has data for only about ten states in the early 1990s, expanding rapidly to 40 states by the late 1990s, with Massachusetts being the last state entering the data in 2010.

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Earnings, and Employment Concepts


Earnings
Earnings are total annual earnings for attached workers from all jobs, converted to 2016 dollars using the CPI-U. For the annual earnings tabulations, we impose two labor force attachment restrictions. First, we drop graduates who earn less than the annual equivalent of full-time work at the prevailing federal minimum wage. Additionally, we drop graduates with two or more quarters with no earnings in the reference year. These workers are likely to be either marginally attached to the labor force or employed in non-covered employment.

Employment
While earnings tabulations include earnings from all jobs, for the flows tabulations, we report the graduate's main job for that year only. Main jobs are defined as the job for which graduates had the highest earnings in the reference year. To attach employer characteristics to that job, we assign industry and geography from the highest earnings quarter with that employer in the year. For multi-establishment firms, we use LEHD unit-to-worker imputations to assign workers to establishments, and then assign industry and geography. Workers who do not meet the labor force attachment restrictions outlined above are assigned an employment location 'ZZ' and industry sector 'ZZ' (which we treat as the residual category).

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Tabulation Levels

Employment and earnings outcomes are tabulated by the following worker characteristics: separation cohort, sex, race and ethnicity, education at enlistment, AFQT score tercile, pay grade at separation, and military occupation. They are also tabulated by the state and industry of each worker's dominant employer. All outcomes are additionally reported one, five, and ten years post separation from the Army.

Separation Cohort
In order for changes in veterans' labor market outcomes to be evaluated over time, we group veterans into cohorts based on their year of separation from active-duty service. For most tables, we use 2-year cohorts. However, for some tables, data quality constraints limit the extent to which we can provide detailed cohort groups. As a result, these tables are aggregated to 4-year and 8-year cohorts. Statistics for the following separation cohort bins are therefore generated:

  • Two year bins: 2000-2001, 2002-2003, 2004-2005, 2006-2007, 2008-2009, 2010-2011, 2012-2013, and 2014-2015.
  • Four year bins: 2000-2003, 2004-2007, 2008-2011, and 2012-2015.
  • Eight year bins: 2000-2007 and 2008-2015.
Age, Sex, Race and Ethnicity
Worker demographic information allows for comparison of employment and earnings outcomes by age, sex, race, and ethnicity. Age is defined as age at separation from service and is taken from Army records. We then create two age groups: age <25 and age 25+. Sex, race, and ethnicity are taken from the LEHD data to allow for representation of race and ethnicity information in a manner that is consistent with the format used by the U.S. Census Bureau, presented in the LEHD schema available at https://lehd.ces.census.gov/data/schema/latest/lehd_public_use_schema.html. In a small number of cases when demographic characteristics are not available from the LEHD data, we use the variables from Army records and recode as necessary to maintain consistency. Sex has two bins: Male and Female. Race has six categories: White Alone, Black or African American alone, American Indian or Alaska Native Alone, Asian Alone, Native Hawaiian or Other Pacific Islander Alone, and Two or More Race Groups. Ethnicity has two bins: Hispanic and Not Hispanic.

Education at Enlistment
Eligibility for Army enlistment is dependent on meeting certain education thresholds. As a result, nearly all Army service-member records include their education level at time of enlistment. We use Army administrative data to generate three education-level categories: General Educational Development (GED) Test, High School Diploma, and Some College or Higher.

Armed Forces Qualification Test (AFQT) Score Tercile
All Army recruits take the Armed Forces Vocational Aptitude Battery (ASVAB), which is used to assess their skills at time-of-entry and their fit for any particular military occupation. A subset of the ASVAB is used to calculate the Armed Forces Qualification Test (AFQT) score. This score is reported as a percentile that is relative to a reference group and is comparable across time. We report employment and earnings outcomes by AFQT terciles, with 1 corresponding to scores 0-33, 2 to 34-66, and 3 to 67-100.

Pay Grade
We use pay grade at separation to capture each service member's performance during active-duty service. Due to sparsity of cells, some pay grade categories are aggregated into larger bins. Reported pay grade bins include: E1, E2, E3, E4, E5, E6, and E7-E9, with E1 being the pay grade for Privates and E7-E9 being the pay grade for senior non-commissioned officers (i.e. Sergeants First Class, Master Sergeants or First Sergeants, Sergeant Majors, Command Sergeant Majors, or Sergeant Majors of the Army). Note that when labor market outcomes are reported by pay grade crossed with military occupation, we use a higher level of aggregation and report two grouped pay grade bins, E1-E5 and E6-E9.

Years of Service
We use three bins to capture the distribution of tenure for active-duty service at year of separation. They are: 0-5, 6-19, and 20+ years. Note that most enlisted service members serve less than five years and career personnel are eligible for retirement at 20 years of service.

Military Occupation
Occupation for enlisted personnel within the Army is defined by a Military Occupation Specialty (MOS) code. MOS code usage varies over time as new occupations are created and old ones are eliminated or reorganized. To account for these changes, we aggregate MOS occupation codes to the Department of Defense's Military Occupational Specialty Classification codes at the 2- and 3-digit level.

Employer Geography
Employment and earnings outcomes are available for each of the 50 states and the District of Columbia. A worker is assigned to a given state if their dominant employer for the calendar year paid UI compensation for that worker in that state. For federal employees, we use the location of the government agency to establish state. States are identified by their Federal Information Processing Standard (FIPS) state code.

Employer Industry
We provide statistics by the industry of the dominant employer, at the North American Industrial Classification System (NAICS) Sector level with federal government employment reported as a separate category.

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Protection System

The protection system for VEO must take into account that external parties have access to a large portion of the data. To address these disclosure issues, the VEO data product uses differential privacy techniques to protect individual confidentiality. We follow the procedure described in in Foote, Machanavajjhala, and McKinney (2019).

Earnings Tabulations
In the VEO tabulations, we release three percentile values (25th, 50th and 75th) and a cell count. To protect the earnings percentiles for a given cell, we categorize the earnings of all individuals into pre-defined histogram bins. We then add noise according to the geometric mechanism to each bin. We use these counts to construct an empirical CDF, from which we calculate the percentiles. We also calculate the protected cell count from the sum of the bin counts. For cells with a protected count of less than 50, we suppress output (due to low quality) and indicate the suppression in the data with a status flag = 5.

Employment Tabulations
We use a geometric noise mechanism to protect the VEO tabulations, since the data are counts.

Feedback

Please send questions and comments to CES.Local.Employment.Dynamics@census.gov.

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References

[1] John M. Abowd, Bryce E. Stephens, Lars Vilhuber, Fredrik Andersson, Kevin L. McKinney, Marc Roemer, and Simon Woodcock. The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators. In Producer Dynamics: New Evidence from Micro Data, NBER Chapters, pages 149-230. National Bureau of Economic Research, Inc., September 2009.

[2] Foote, Andrew David, Ashwin Machanavajjhala, and Kevin McKinney. 2019. Releasing Earnings Distributions Using Differential Privacy: Disclosure Avoidance System For Post-Secondary Employment Outcomes (PSEO). Journal of Privacy and Confidentiality 9 (2).

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