CHAPTER 7 THE FOUR DEGREES OF INTENTIONAL DISCRIMINATION...54

Similar documents
INTENTIONAL JOB DISCRIMINATION IN METROPOLITAN AMERICA PART II THE NATIONAL PORTRAIT OF VISIBLE INTENTIONAL JOB DISCRIMINATION

UNIVERSITY OF ALASKA AFFIRMATIVE ACTION SUMMARY REPORT TO THE BOARD OF REGENTS Prepared by the UA Statewide Office of Human Resources

Diversity in the Insurance and Finance Industry Workforce

Alberta WCB Policies & Information

Address of Robert Greenstein To McCrery-Pomeroy SSDI Solutions Conference

Bringing Meaning to Measurement

National Compensation Forecast

ERI s National Compensation Index

Online Appendix A: Verification of Employer Responses

2000 HOUSING AND POPULATION CENSUS

EUROPEAN SOCIAL CHARTER. on the 11th national report on the implementation of the European Social Charter THE GOVERNMENT OF FINLAND

National Compensation Forecast

Full-time workers generally earn

Taxpayer Testimony as Credible Evidence

Claims denied. 1 No medical evidence of injury. 2 No injury per statutory definition. 3 Reservation of rights. 4 Pre-existing condition.

Retirement income. LifeAnew A deferred life annuity that s 100% guaranteed for life

SUPERVISORY FRAMEWORK FOR THE USE OF BACKTESTING IN CONJUNCTION WITH THE INTERNAL MODELS APPROACH TO MARKET RISK CAPITAL REQUIREMENTS

HAVE YOU BEEN UNLAWFULLY DISCRIMINATED AGAINST AT WORK? The following notes are for guidance only and are not intended to replace formal legal advice.

Empirical Analysis of How Arbitrators Handle Discharge & Discipline Arbitrations: The Results May Surprise You

1. Equal employment opportunity means that an employer must give preference to women and minorities in the workplace.

D-3 DUES TRANSMITTAL POLICY (Adopted April 1974 RA, Amended April 1985, January 2003, 2013 Spring RA, 2014 Fall RA, 2018 Spring RA)

Tier 3 Disability Legisla0on

HOLDING EMPLOYERS AND EMPLOYEES ACCOUNTABLE. In the State of New York, there is a long settled rule that employees are hired at will unless

ACCIDENT FREQUENCY, PLACE OF OCCURRENCE, AN D RELATION TO CHRONIC DISEASE1

Ministerstvo financí České republiky

CONSEQUENCES OF THE INTEL JUDGMENT AND THE NEW DANISH ACT ON STOCK OPTIONS

2006 MEMBER SATISFACTION SURVEY

2016 Status Report: WOMEN, WORK AND WAGES IN VERMONT

EMPLOYER S GUIDE TO THE MASSACHUSETTS WORKERS COMPENSATION SYSTEM

POLICYHOLDER / CERTIFICATEHOLDER

Thu, 20 Nov :25:43 AM - SERB

Arkansas Judicial Retirement System Annual Actuarial Valuation and Experience Gain/(Loss) Analysis Year Ending June 30, 2018

Appendix CA-15. Central Bank of Bahrain Rulebook. Volume 1: Conventional Banks

RÉMUNÉRATION DES SALARIÉS. ÉTAT ET ÉVOLUTION COMPARÉS 2010 MAIN FINDINGS

Cynthia Bower EEOC No X Re: Violation of Settlement Agreement by USDA ARS. Exhibit A. Settlement Agreement (EEOC No X)!

Statutory Basis. Oldie But Goldie! 1/28/2009. Chapter 11. Age Discrimination

ARBITRATION ACT. Act No: 10/2013 ARBITRATION ACT Maldivian Government Gazette Volume 42 Edition rd July 2013

CONSTITUTION. Adopted May 20, 1914 As Last Amended June 22, 2017 Effective, September 1, 2017

BUSINESS OR HOBBY - IRS GUIDELINES HELP

National Compensation Index

UniServ Region North Avenue East Suite 2 and 3 Cranford NJ Phone: Fax:

Board Finance Committee. November 15, 2017

Training Benchmarks for the Finance and Accounting Services Sector (Fasset) November 2017 Prepared by EE Research Focus

Managing Misclassification Mysteries: A Refresher on Classifying Employees & Independent Contractors

APPLICATION FOR: Requested Limit

STATE OF NEW YORK IN SENATE

FLORIDA DEPARTMENT OF INSURANCE

Monitoring the Performance of the South African Labour Market

Insurance Coverage Law

Address (Number) (Street) (City) (State) (Zip Code) (Home or Cell Phone) Address Driver's License Number Date of Birth How were you referred?

Employer-sponsored health insurance plans are the single largest source

State Universities Retirement System of Illinois

National Compensation Forecast

Job Classification Grade Plumber* 623. Job Classification Grade Plumber* 623

Effects of the Oregon Minimum Wage Increase

The Gender Wage Gap by Occupation

Effects of the 1998 California Minimum Wage Increase

Submittal Guidelines RFQ# Daytona State Beer & Wine Institute

Article from: Product Matters. June 2015 Issue 92

IC Chapter 4. Financial Responsibility

198/2009 Coll. ACT PART ONE ANTI-DISCRIMINATION ACT

Corporate Governance of the Largest US Public Companies General Governance Practices

INSTRUCTIONS FOR FILING ACCIDENT INCLUDING POLICY RIDERS/ DISABILITY/ WAIVER OF PREMIUM CLAIMS

CITY OF LOS ANGELES NONDISCRIMINATION EQUAL EMPLOYMENT PRACTICES AFFIRMATIVE ACTION

SEX DISCRIMINATION PROBLEM

Answers To Chapter 12

Submittal Guidelines RFQ# Master Site Plan

MANHATTAN ORTHOPEDIC & SPORTS MEDICINE GROUP, PC

COMPULSORY RETIREMENT AGE IN THE PUBLIC SAFETY INDUSTRY

THE CAYMAN ISLANDS LABOUR FORCE SURVEY REPORT SPRING 2017

The Interaction of Workforce Development Programs and Unemployment Compensation by Individuals with Disabilities in Washington State

UNIVERSITY OF INEQUALITY? An already wide pay gap getting worse; Will budget priorities undermine the foundation of the University s success?

EPI Issue Brief. Economic Policy Institute May 15, 2003 THE BROAD REACH OF LONG-TERM UNEMPLOYMENT

RISK MITIGATION IN FAST TRACKING PROJECTS

NEW YORK LIQUIDATION BUREAU REQUEST FOR PROPOSAL

NFIB SMALL BUSINESS. William C. Dunkelberg Holly Wade SMALL BUSINESS OPTIMISM INDEX COMPONENTS

The Keystone Research Center 412 N. Third Street, Harrisburg PA Unemployment Claims Rising in Pennsylvania

Underwriting and Morbidity Trends for Income Protection in the United States

THE HAWAII LEMON LAW AND THE STATE CERTIFIED ARBITRATION PROGRAM

Chapter 2. Risk Identification. Enterprise Risk Management. Employment. Chapter 3 Page 1

Analysis of Ongoing Implementation, the Report of the Monitor of the National Mortgage Settlement

ATTACHMENT L REQUIREMENTS FOR CALIFORNIA PUBLIC WORKS PROJECTS

Monitoring the Performance of the South African Labour Market

Actuarial Review of the Self-Insured Liability & Property Program

Conditional Fee Agreement Explanation Leaflet. What you need to know about the CFA

Credit Risk: Contract Characteristics for Success

INCREASED RISK OF OSHA REPEAT CITATION. By Mark A. Lies II * & Daniel R. Flynn INTRODUCTION

By: Mark A. Lies, II 1 and Craig B. Simonsen INTRODUCTION. One of the Occupational Safety and Health Administration s (OSHA s) most potent

UE Defense Counsel Guidelines

INSTRUCTIONS FOR FILING GROUP VOLUNTARY STD / LTD / WAIVER OF PREMIUM CLAIMS

Chapter IV Assessments, Payment, Recovery and Collection of Tax 24. Submission of return

July 25, AGOP CANCIK TINKER AVE Tujunga,CA, 91042

Order Code RS22170 June 20, 2005 CRS Report for Congress Received through the CRS Web The Age Discrimination in Employment Act and Disparate Impact Cl

What does life insurance mean?

National Assembly for Wales Governance and Audit. Whistleblowing Policy

FEDERAL MEDIATION AND CONCILIATION SERVICE DECISION

Insurance Industry 2011 Employment Outlook and Hiring Survey

Delaware Annual Economic Report 2008

= = b = 1 σ y = = 0.001

Exit Incentives Points to Consider

Transcription:

54 CHAPTER 7 THE FOUR DEGREES OF INTENTIONAL DISCRIMINATION CHAPTER 7 THE FOUR DEGREES OF INTENTIONAL DISCRIMINATION...54 1. HARD CORE DISCRIMINATORS...56 2. CLEARLY VISIBLE DISCRIMINATORS....57 3. PRESUMED DISCRIMINATORS....58 4. AT RISK DISCRIMINATORS...59 5. SUMMARY...60 6. ENDNOTE...61 W ithout the combination of statistical analysis and legal standards used in this study, legal analysts have tended to view intentional discrimination as one general concept. As we applied statistical analysis to the data, we observed differences in intentional discrimination, depending on the standard deviation analysis, and the length of time severe discrimination could be observed. The greater the standard deviations beyond two, the more persuasive is the case for discrimination. 97 We observed a large number of establishments that were at least 2.5 standard deviations below the mean in 1999, meaning that there was only one chance in 100 that the result occurred by accident. This 1 in 100 chance is far more stringent than the criminal law standard of beyond a reasonable doubt, and certainly exceeds the civil law standard for proof that more likely than not the claimed discrimination occurred. These establishments accounted for 91% of the minority affected workers and 90% of the female affected workers in our study. Furthermore, between 75 and 80% of those establishments are 3 or more standard deviations below the average, meaning that there is only one chance in 370 that the result occurred by accident. More surprising, we observed thousands of establishments that had been 2.5 standard deviations below the mean over a long period of time. The persistence of this discrimination plus the probability that it was indeed intentional suggests that it is deeply ingrained in corporate practice. As a result of these observations, this study divides the concept of visible intentional discrimination into four components. They are Hard Core, Clearly Visible, Presumed, and At Risk. [Technical Appendix, 1] The differences are suggested in the following table:

55 Table 1. LEGAL EFFECT OF VARIATIONS IN STATISTICAL ANALYSIS Standard Deviations Probability Chance Not chance Described in this study as: 1.65 1 in 10 90% At Risk 2.0 1 in 20 95% Presumed 2.5 1 in 100 99% Clearly Visible 2.5 over 9 yrs Hard Core Legal Effect Admissible if relevant; weighed with all other evidence; worker must prove that he/she was discriminated against. Admissible; creates presumption of discrimination; employer must prove it had only legitimate non-discriminatory reasons. As the probability of result occurring by chance declines, the presumption of discrimination strengthens and raises the risk that employer will lose litigation; most such cases settle.

56 1. HARD CORE DISCRIMINATORS. These establishments not only demonstrate a severe statistical case of discrimination, but also reflect that this condition has existed over a long period of time. This suggests that the discrimination is persistent and has important support within the corporation. These establishments are so far below average in an occupation that there is only one chance in one hundred that the result occurred by accident (2.5 standard deviations), in 1999 and in either 1998 or 1997, and in at least one year between 1991 and 1996, and was not above average between 1991 and 1999. The category includes establishments that far exceed 2.5 standard deviations below the mean, and have been so for longer than nine years. These hard core establishments account for 432,958 affected minority workers, or almost exactly half of those we have identified. Hard core establishments also account for 240,908 affected female workers more than one third of those we have identified. Table 2. Hard Core Discriminators. HARD CORE DISCRIMINATION AGAINST MINORITIES AND WOMEN--1999 AGAINST MINORITIES AGAINST WOMEN Percent Number Number Number Percent Number Number Number Officials & Managers 3.1% 567 10,928 19 3% 791 16,081 20 Professionals 5.2% 1,252 50,599 40 5% 1,322 48,587 37 Technicians 6.9% 810 22,414 28 5% 581 13,817 24 Sales 12.1% 3,938 95,587 24 4% 1,508 33,506 22 Office & Clerical 8.0% 2,302 63,702 28 4% 1,112 28,757 26 Craft 6.9% 776 16,991 22 8% 555 10,027 18 Operatives 9.7% 1,899 54,975 29 13% 2,019 48,705 24 Laborers 8.0% 920 21,935 24 8% 857 18,207 21 Service 13.0% 3,475 95,827 28 3% 876 23,221 27 Total 432,958 240,908 Extrapolated Total 649,267 343,398

57 2. CLEARLY VISIBLE DISCRIMINATORS. These establishments are so far below average in an occupation that there is only a one in one hundred (1%) chance that the result occurred by accident (2.5 standard deviations), in 1999. These clearly visible discriminators accounted for 359,220 of the minority affected workers, or one third of the affected minority workers, and 324,924, or nearly half, of the female affected workers. Table 3. Clearly Visible Discriminators. CLEARLY VISIBLE DISCRIMINATION AGAINST MINORITIES AND WOMEN--1999 AGAINST MINORITIES AGAINST WOMEN Percent Number Number Number Percent Number Number Number Officials & Managers 6.4% 1,146 14,432 13 6% 1,557 22,671 15 Professionals 9.0% 2,187 42,066 19 10% 2,926 63,529 22 Technicians 9.5% 1,120 18,370 16 10% 1,192 21,469 18 Sales 11.4% 3,699 59,817 16 8% 2,753 44,704 16 Office & Clerical 11.4% 3,268 56,896 17 10% 3,059 55,119 18 Craft 10.1% 1,137 15,639 14 14% 928 11,107 12 Operatives 13.0% 2,550 45,876 18 15% 2,429 39,633 16 Laborers 15.0% 1,722 29,339 17 14% 1,475 22,807 15 Service 14.3% 3,821 76,785 20 8% 2,206 43,884 20 Total 359,219 324,924 Extrapolated Total 584,467 504,513 Together, Hard Core and Clearly Visible discriminators both defined as at least 2.5 Standard Deviations below the average utilization of minorities or women (a 1 in 100 chance that it happened by accident) account for ninety percent of affected Women and 91.5% of affected minorities.

58 3. PRESUMED DISCRIMINATORS. These establishments are so far below average in an occupation that there is only a one in twenty (5%) chance that the result occurred by accident (2 standard deviations), in 1999. These establishments accounted for 74,087, or 8.5% of minority affected workers, and 62,563 or 10% of female affected workers. Table 4. Presumed Discriminators. PRESUMED DISCRIMINATORS AGAINST MINORITIES AND WOMEN--1999 AGAINST MINORITIES AGAINST WOMEN Percent Number Number Number Percent Number Number Number Officials & Managers 7% 1,201 7,404 6 4% 1,081 7,792 7 Professionals 6% 1,479 11,621 8 4% 1,162 10,896 9 Technicians 5% 609 4,372 7 5% 603 4,345 7 Sales 6% 1,897 14,696 8 4% 1,274 11,613 9 Office & Clerical 6% 1,637 12,058 7 2% 605 5,056 8 Craft 6% 667 4,298 6 10% 624 3,387 5 Operatives 4% 822 6,049 7 6% 1,036 6,505 6 Laborers 4% 474 3,135 7 5% 519 3,272 6 Service 5% 1,219 10,452 9 3% 931 9,697 10 Total 74,087 62,563 Extrapolated Total 127,349 104,221

59 4. AT RISK DISCRIMINATORS. These establishments are so far below average in an occupation that there is only a one in ten (10%) chance that the result occurred by accident (1.65 standard deviations), in 1999. This finding, plus fact-specific evidence relating individual complainants to the occupation addressed by the statistics, with the statistics playing a supporting role, can establish discrimination. We do not know the specific facts in these situations and therefore report no affected workers in this category. Table 5. At Risk Discriminators. "AT RISK" DISCRIMINATORS AGAINST MINORITIES AND WOMEN--1999 AGAINST MINORITIES AGAINST WOMEN Percent Number Number Percent Number Number Officials & Managers 6% 1,053 NA 5% 1,184 NA Professionals 5% 1,269 4% 1,254 Technicians 5% 550 4% 523 Sales 5% 1,560 4% 1,499 Office & Clerical 5% 1,394 3% 952 Craft 5% 557 5% 336 Operatives 4% 771 4% 562 Laborers 4% 446 4% 403 Service 4% 949 4% 1,041

60 5. SUMMARY Table 6. Summary of Effect of Different Types of Discrimination on Minority and Female In Establishments of 50 or More Employees In MSA s Actual Extrapolated Minorities Female Minorities Female # Estab. # # Estab. # # Estab. # # Estab. # Hard Core 12,739 432,958 8,222 240,908 22,269 649,267 13,173 343,398 Clearly Visible 15,906 359,219 14,801 324,924 29,656 584,467 26,177 504,513 Presumed 6,782 74,087 5,696 62,563 13,099 127,349 10,534 104,221 At Risk 5,593 NA 5,590 NA 10,768 NA 10,541 NA All 866,264 628,395 1,361,083 952,132 The total numbers of establishments may be less than the sum of the number of establishments in each degree because one establishment may discriminate against workers in more than one degree and would be counted twice. Each worker is counted once, so there is no double-counting in the totals of affected workers. The way in which each type of discriminator affects minorities and women will be discussed in chapters concerning each group. The important point to note here is that Hard Core discriminators along with Clearly Visible discriminators, all of whom are 2.5 standard deviations or more below the average utilization, account for ninety percent of the affected workers identified in this study. Therefore, they present important issues of both affirmative action and enforcement of Equal Employment Opportunity Laws.

61 6. ENDNOTE 97. Hazelwood School District v. United States, 433 US 299 (1977), EEOC v. O & G Spring and Wire Forms Specialty Co., 38 F. 3d 872 (7th Cir. 1994).