NCCI s Update on PEO Performance Presented by; Mona Carter Senior Division Executive and Harry Shuford Practice Leader and Chief Economist August 20, 2013 Copyright 2012 National Council on Compensation Insurance, Inc. All Rights Reserved.
Evolution of WC & PEO Multi-Employer model vs Standard Workers Comp model Need for Clarity and Compliance Data Reporting (POC and Experience Rating) Voluntary vs Residual Market Activity Desire for effective integration of Client level information
Meeting The Challenges Standardized Definitions and Terms Developing Policing and Regulatory Guidelines Insurance regulators, Industry and PEO Industry working together for understanding States improvement of systems for integrating information Enhanced requirements and reporting of Individual Client data
Don t Just Speculate, Investigate! The Story Behind NCCI s PEO Study Harry Shuford Practice Leader and Chief Economist August 20, 2013 Copyright 2012 National Council on Compensation Insurance, Inc. All Rights Reserved.
The Story Behind the PEO Study Why a Study of PEOs? Public Health Professionals Planning a NIOSH Conference What Have People Been Saying About PEOs? Much of It Is Speculation Why No Prior Investigation? It Would Be Really Difficult Initial Findings? Speculation Upended External Push Back! More Investigation More Feedback Even More Investigation 5
The Story Behind the PEO Study But First - Something for the Uninitiated: What Are Typical PEO Services? Who Are the PEO Stakeholders? 6
Typical PEO Services What Are PEOs? Why Are There Concerns? Payroll Workers compensation Risk management Employee benefits Recruiting Training and development Employer of record for the leased workers from a PEO client company Source: National Association of Professional Employer Organizations (www.napeo.org) 7
What Are PEOs? Why Are There Concerns? Key Stakeholders: Workers Employers PEOs Regulators Insurers Ratemaking organizations 8
The Story Behind the PEO Study What Are The Concerns? 9
The Story Behind the PEO Study Planning for a NIOSH Conference Use of Workers Compensation Data for Occupational Safety and Health June 19-20, 2012 10
Contingent Workers and Alternative Work Arrangements A Concern of Public Health Professionals Contingent Workers: Workers Compensation Data Analysis Strategies and Limitations, forthcoming in the American Journal of Industrial Medicine Source: Contingent Workers: Workers Compensation Data Analysis Strategies and Limitations, forthcoming in the American Journal of Industrial Medicine 11
Contingent Workers and Alternative Work Arrangements A Concern of Public Health Professionals The BLS identifies four categories of alternative employment arrangements, which may or may not involve contingent work: 1) independent contractors, consultants and free-lance workers, who may be either self-employed or wage and salary workers; 2) on-call workers who are called to work only as needed; 3) temporary help agency workers who are paid by a temporary help agency, regardless of whether the worker considers the job to be temporary; and 4) workers provided by contract firms, who are working for a contract company, usually work for only one customer, and usually work at the customer s worksite. Source: Contingent Workers: Workers Compensation Data Analysis Strategies and Limitations, forthcoming in the American Journal of Industrial Medicine 12
Contingent Workers and Alternative Work Arrangements A Concern of Public Health Professionals The BLS identifies four categories of alternative employment arrangements, which may or may not involve contingent work: 1) independent contractors, consultants and free-lance workers, who may be either self-employed or wage and salary workers; 2) on-call workers who are called to work only as needed; 3) temporary help agency workers who are paid by a temporary help agency, regardless of whether the worker considers the job to be temporary; and 4) workers provided by contract firms, who are working for a contract company, usually work for only one customer, and usually work at the customer s worksite. Source: Contingent Workers: Workers Compensation Data Analysis Strategies and Limitations, forthcoming in the American Journal of Industrial Medicine 13
The Story Behind the PEO Study Planning for a NIOSH Conference Contingent Workers, including: Independent Contractors, Consultants, & Free-lance Workers On-call Workers Temporary Help Agency Workers Workers Provided by Contract Firms Other Alternative Work Arrangements 14
The Story Behind the PEO Study Employee Leasing and PEO Arrangements are considered to be alternative work arrangements. 15
The Story Behind the PEO Study What Are People Saying About PEOs? Much of It Is Speculation 16
Some Specific Regulatory Concerns Regulatory Concerns and PEOs: Worker risk exposure/lax workplace safety Lack of clarity and/or access to workers compensation benefits Interference with employer compliance with state WC proof of coverage process Inadequate OSHA reporting 17
Some Specific Workers Comp Ratemaking Concerns Workers Comp Professionals Also Have Expressed Concerns about PEOs. Concerns about PEO Behavior and Ratemaking: Underreporting or misclassification of payroll Underreporting of workplace injuries Poor loss experience Adverse impact on residual market results Avoidance/distortion of experience rating mods 18
Some Specific Regulatory Concerns Workers Comp Professionals Also Have Expressed Concerns about PEOs. Experience indicates that at times monitoring of compliance with proof of coverage for PEO clients and tracking first report of injury can be challenging. However, a review of the literature suggests that there is little solid research addressing many of the remaining issues. That is, much of it appears to be speculation on worst case scenarios. 19
Some Specific Regulatory Concerns Workers Comp Professionals Also Have Expressed Concerns about PEOs. Experience indicates that at times monitoring of compliance with proof of coverage for PEO clients and tracking first report of injury can be challenging. However, a review of the literature suggests that there is little solid research addressing many of the remaining issues. That is, much of it appears to be speculation on worst case scenarios. 20
Some Specific Regulatory Concerns In the spirit of the theme of the NIOSH conference NCCI s economists decided to Use workers compensation data to investigate the impact of PEOs on NCCI s ratemaking. Not only would this shed some light on some internal discussions; It also should provide regulators and public health professionals a better understanding of their own concerns. 21
Some Specific Regulatory Concerns If something is subject to empirical analysis: Don t just speculate, investigate. 22
Some Specific Regulatory Concerns Moreover, there s a second part to this story. Researchers often discover that if their research findings vary from the conventional wisdom they must deal with an ongoing string of challenges. Our analysis of PEOs has been once such study. This has been a good thing; it increased the scope of our analysis and strengthened our overall findings. That s the real story behind this PEO study. 23
Some Specific Regulatory Concerns Moreover, there s a second part to this story. Researchers often discover that if their research findings vary from the conventional wisdom they must deal with an ongoing string of challenges. Our analysis of PEOs has been once such study. This has been a good thing; it increased the scope of our analysis and strengthened our overall findings. That s the real story behind this PEO study. 24
Some Specific Regulatory Concerns Moreover, there s a second part to this story. Researchers often discover that if their research findings vary from the conventional wisdom they must deal with an ongoing string of challenges. Our analysis of PEOs has been once such study. This has been a good thing; it increased the scope of our analysis and strengthened our overall findings. That s the real story behind this PEO study. 25
The Story Behind the PEO Study With All of This Interest Why No Prior Investigation? It Turns Out that It Was Major Undertaking. 26
The Story Behind the PEO Study The Process: Education learn about the issues Information get the data needed to analyze the issue Analysis and Conclusions Get Pushback on Results Typically: But you didn t look at So repeat the process: More Education More Data etc 27
The Story Behind the PEO Study Lots of learning as we developed the data 28
Linking Policy and Unit Reporting Systems Started With Unit Data Premium Claims detail Proof of Coverage (POC) to Identify PEOs in the unit data NCCI s PEO team Linked Policy and Unit Reporting Systems Data and IT 29
Understanding the Data Multiple Policy Types in POC Data: Master policies Multiple Coordinated Client policies Multiple PEO policies PEO Direct Employee policies Changing Regulatory Environment: State regulations affect PEO market shares by PEO policy models over time Worked again with NCCI s PEO team 30
Understanding PEOs and Issues in Experience Rating and Residual Market Experience Rating Concerns and PEOs NCCI s Experience Rating Team Residual Market Issues and PEOs NCCI s Residual Market Team 31
Ratemaking Data Issues and PEOs AES Class Ratemaking Team Data Validation Issues and PEOs Creating Industry Group Level Data 32
Insolvencies and PEOs Working With NAIC Annual Statement Data Estimating Loss Reserve Adequacy Schedule P 33
Obtaining External Information NAPEO Member List Linked to WC data for market share and size analysis Google Search Obtaining names of insolvent companies Linked to WC data for PEO share and loss experience analysis For background; no plans to publish individual company data Linked to Annual Statement data for reserve analysis 34
The Story Behind the PEO Study What Were the Initial Findings? 35
Copyright 2012 National Council on Compensation Insurance, Inc. All Rights Reserved. PEOs in the WC Market
PEO Clients Appear to Be Small Businesses 25.0 Number of Workers per Employer/Client 20.0 19.4 15.0 10.0 9.7 9.2 6.7 5.0 0.0 Client Master PEO Policy Client MCP PEO Policies Client Multiple PEO Policies Employer Non-PEO Policy Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI, for Policy Year 2007 37
PEOs in WC Markets Over PY 2004 Through PY 2010 On Average Small Market Shares 1 to 2 percent payroll share of the voluntary market 2 to 6 percent of the residual market Great State Variation In PY 2009: Florida 6 percent of voluntary market Arizona 30 percent of residual market Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI Voluntary Market: 37 NCCI ratemaking states; CA, DE, MA, MI, MN, NJ, NY, NC, ND, OH,PA, WA, WI, and WY are excluded Residual Market: 25 NCCI ratemaking states AK, AL, AR, AZ, CT, DC, GA, ID, IL, IN, IA, KS, MS, MO, NE, NV, NH, NM, OR, SC, SD, TN, VT, VA, and WV are included NCCI is not the residual market plan administrator in IN, TN, MO, and NE 38
Workers Compensation Data Suggests That the PEO Market Is Highly Concentrated 39
15 Largest PEO Companies Comprise Approximately Two-Thirds Market; National PEOs Members Make Up Majority of PEO Industry Policy Year 2009 Data 40.1% 48.8% Top 5 Next 5 Next 5 Other 2.6% 8.5% Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI National Association of Professional Employer Organizations (NAPEO) NAPEO 2012; Used with permission PEO policy models Master policy, MCP policies, Multiple PEO policies, and PEO direct employee policies are included National PEOs list was based on membership list at napeo.org in April 2012 MCP policies may not have PEO information as named insured NCCI 37 ratemaking states only 40
2013 Annual Issues Symposium PEO Loss Experience (@2nd Report) Copyright 2013 NCCI Holdings, Inc. All Rights Reserved.
PEO Loss Experience Is Comparable to Non-PEO Frequencies are higher by number of workers Indicating that underreporting claims is not apparent in the data Severities are comparable Loss ratios by manual premium and modified premium tend to be comparable, if not lower Indicating that underreporting or misclassifying payroll is not apparent in the data Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI Voluntary Market: 37 NCCI ratemaking states; CA, DE, MA, MI, MN, NJ, NY, NC, ND, OH,PA, WA, WI, and WY are excluded Residual Market: 25 NCCI ratemaking states AK, AL, AR, AZ, CT, DC, GA, ID, IL, IN, IA, KS, MS, MO, NE, NV, NH, NM, OR, SC, SD, TN, VT, VA, and WV are included NCCI is not the residual market plan administrator in IN, TN, MO, and NE 42
Lost-Time Claims Loss Ratio by Modified Premium Lost-Time Claims Loss Ratio by Modified Premium 0.50 0.45 0.40 0.35 0.30 0.25 0.20 0.50 0.45 0.40 0.35 0.30 0.25 0.20 Comparable or Lower Loss Experience @2nd Report 0.46 0.39 0.36 0.33 0.32 0.33 0.41 0.39 0.34 0.29 0.27 0.25 2004 2005 2006 2007 2008 2009 0.48 0.36 0.37 0.36 0.41 0.38 0.43 0.38 0.35 0.35 0.32 0.31 2004 2005 2006 2007 2008 2009 Non-PEOs LDs PEOs LDs Non-PEO Oth PEOs Oth Lost-Time Claims Loss Ratio by Modified Premium 0.70 0.60 0.50 0.40 0.30 0.52 0.49 0.54 0.55 0.47 0.43 0.64 0.51 0.66 0.69 0.59 0.58 Non-PEO RM PEOs RM 0.20 2004 2005 2006 2007 2008 2009 Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI Voluntary Market: 37 NCCI ratemaking states; CA, DE, MA, MI, MN, NJ, NY, NC, ND, OH,PA, WA, WI, and WY are excluded Residual Market: 25 NCCI ratemaking states AK, AL, AR, AZ, CT, DC, GA, ID, IL, IN, IA, KS, MS, MO, NE, NV, NH, NM, OR, SC, SD, TN, VT, VA, and WV are included NCCI is not the residual market plan administrator in IN, TN, MO, and NE 43
Is It Industry Mix? PEO industry mix by payroll is comparable to non-peo Loss ratio experience across industry groups is comparable Exception: miscellaneous group shows adverse loss experience for PEO clients Initial analysis indicates transportation industry exposure in PEO clients may be a factor Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI 44
2013 Annual Issues Symposium This Was Not the End of The Story Behind the PEO Study Copyright 2013 NCCI Holdings, Inc. All Rights Reserved.
The Story Behind the PEO Study External Push Back! Required More Investigation 46
The Story Behind the PEO Study: External Push Back Anecdotal data suggests that PEOs are problems Why no apparent material differences between PEO and non-peo loss ratios? Allegations PEOs may look OK at Second Report But reporting delays by PEOs likely result in worse ultimate experience PEOs are responsible for the three most recent WC insurer insolvencies More PEO data must be excluded from ratemaking because of poor data quality PEOs serve as a front for mod washing 47
Could the Observed Favorable Loss Experience of PEOs Reflect Delays in Claims Reporting by PEOs? 48
Could the Observed Favorable Loss Experience of PEOs Reflect Delays in Claims Reporting by PEOs? An Actuarial Type Examination of PEO Loss Development 49
PEO Claim Development Versus Non-PEO Claim Development Mean 2004 2006 1:5 Claim Development 1.050 1.025 1.020 PEO 1.040 Std 1:5 Report Claim Development Lost-Time Claims 1.025 PEO 1.021 Std 1.018 PEO 1.019 Std 1.000 Voluntary Large Deductible Voluntary Non-Large Deductible Residual Market Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI Voluntary Market: 37 NCCI ratemaking states; CA, DE, MA, MI, MN, NJ, NY, NC, ND, OH,PA, WA, WI, and WY are excluded Residual Market: 25 NCCI ratemaking states AK, AL, AR, AZ, CT, DC, GA, ID, IL, IN, IA, KS, MS, MO, NE, NV, NH, NM, OR, SC, SD, TN, VT, VA, and WV are included NCCI is not the residual market plan administrator in IN, TN, MO, and NE 50
PEO Loss Development Versus Non-PEO Loss Development 1.500 1:5 Report Loss Development Lost-Time Claims Mean 2004 2006 1:5 Loss Development 1.250 1.278 PEO 1.410 Std 1.241 PEO 1.285 Std 1.271 PEO 1.242 Std 1.000 Voluntary Large Deductible Voluntary Non-Large Deductible Residual Market Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI Voluntary Market: 37 NCCI ratemaking states; CA, DE, MA, MI, MN, NJ, NY, NC, ND, OH,PA, WA, WI, and WY are excluded Residual Market: 25 NCCI ratemaking states AK, AL, AR, AZ, CT, DC, GA, ID, IL, IN, IA, KS, MS, MO, NE, NV, NH, NM, OR, SC, SD, TN, VT, VA, and WV are included NCCI is not the residual market plan administrator in IN, TN, MO, and NE 51
Were PEOs Responsible for Three Recent Insurer Insolvencies? An Issue Raised in Florida Two of the Insurance Companies Domiciled in Oklahoma 52
PEOs and Recent Three Insurer Insolvencies 2009 Through 2011 Great Recession: Client Base Shrank Small businesses are PEO clients In the US, more than 200,000 small businesses vanished between early 2008 and 2010 Insurer Business Models Are a Factor In the year prior to insolvency, virtually all of the premium for each of the three carriers was produced by PEO workers compensation insurance policies Park Avenue established in 1986 Pegasus in 1980 Southern Eagle (2005) was a captive insurance company Source: NAIC Annual Statement Data 53
Premium Declined for All Three Insolvencies During Recession 20 18 16 Net Written Premium (Dollars in Millions) 14 12 10 8 6 4 2 0 '04 '05 '06 '07 '08 '09 '10 '04 '05 '06 '07 '08 '09 '10 '04 '05 '06 '07 '08 '09 '10 Southern Eagle Insurance Co. Park Avenue P&C Insurance Co. Pegasus Insurance Co. Source: NAIC Annual Statement Data 54
PEOs and Recent Three Insurer Insolvencies Using Annual Statement data: Loss reserve analysis Non-admitted assets and receivables for large deductibles 55
Southern Eagle Reserve Adequacy Southern Eagle Development w/asb Tail Paid Method Paid+Case Method (Dollars in Thousands) 2010 (Dollars in Thousands) 2005 $ (933.32) $ (268.80) $ (1,686.31) 2006 $ (1,228.88) $ (492.16) 2007 $ (653.88) $ (43.01) 2008 $ (523.01) $ (62.89) 2009 $ 162.90 $ 851.36 2010 $ (484.43) $ 303.51 Surplus $ 8,763.00 Source: NAIC Annual Statement Data and NCCI Annual Statistical Bulletin (ASB) ASB Development Paid Method Paid+Case Method (Dollars in Thousands) 2005 $ (933.32) $ (268.80) $ (8,281.84) 2006 $ (1,429.03) $ (642.64) 2007 $ (1,012.29) $ (213.03) 2008 $ (2,438.56) $ (1,080.88) 2009 $ (3,675.99) $ (1,461.34) 2010 $ (2,441.25) $ (966.54) 56
The Story Behind the PEO Study More Feedback Even More Investigation 57
Allegation: There Is More Litigation in PEO Claims 58
Why More Litigation for PEOs? Allegations Prompt Handling of Claims Is Important: Geographical separation between PEO and client and injured worker is a potential problem Inconsistent Policy Data: Claims class codes may not line up with policy exposure class codes Large number of client class codes and churning of PEO clients 59
Attorney Involvement and ALAE Allocated Loss Adjustment Expense (ALAE) Accumulation of expenses incurred in investigating and settling claims, assignable to specific claims Examples: legal fees, adjusting fees, court costs, medical costs containment expenses, services required by law or insurance regulation NCCI data: Paid ALAE in IDB 60
PEO Claims ALAE Costs Are Slightly Higher Relative to Losses Reporting Period Paid ALAE/IND+MED @2nd Report Percentage of Paid ALAE to Paid Losses for Lost-Time Claims 16% 14% 12% 10% 8% 6% 4% 2% 0% PEO non-peo 15.0% 14.0% 14.2% 12.9% 11.1% 11.2% 10.1% 10.4% 10.6% 9.1% 9.4% 9.7% 2004 2005 2006 2007 2008 2009 Policy Year Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI 61
Evidence Is Consistent with the Allegation: There Likely Is More Litigation Associated with PEO Claims 62
Allegation: PEOs Have More Data Excluded Because of Quality Concerns 63
PEOs Have a Lower Portion of Excluded Data Versus Non-PEOs 3.00% 2009 Data 2.50% 2.463% Portion of Excluded Data 2009 2.00% 1.50% 1.00% 0.50% 0.00% PEO non-peo 0.065% 0.154% Portion of Excluded Policies 1.303% Portion of Excluded Premium Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI Exclusion indication from NCCI Class Ratemaking data 64
PEOs Have a Lower Portion of Excluded Data Versus Non-PEOs 100% 2009 Data Portion of Excluded Data 2009 80% 60% 40% 20% 0% PEO non-peo 0.065% 0.154% 1.303% Portion of Excluded Policies 2.463% Portion of Excluded Premium Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI Exclusion indication from NCCI Class Ratemaking data 65
PEO and WC Experience Rating System A Front for Mod Washing? 66
PEO and WC Experience Rating System Approximately 90% of PEO Clients Do Not Qualify for Experience Mods 67
Only a Tiny Fraction of All Risks Disappear for Two to Three Years, Then Return Portion of Risks 0.0 0.2 0.4 0.6 0.8 1.0 0.9774 All Other 1-Year Data Gap 2-Year Data Gap 3+ Years Data Gap Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI Analysis is conducted on risks with a policy in PY 2005; All risks are tracked over the period from PY 2001 to PY 2010 (inclusive) Active continuous coverage prior to PY 2001 does not contribute to the length of active continuous coverage (i.e., "Time") 68
PEO Loss Experience in VOL and AR Markets Matched Exposure at Class Code Level 69
Over Time PEO Exposure in AR Shrank Matched Exposure to PEO Class Codes by State and by Policy Year 0.9 nonpeo_lr_vol PEO_LR_VOL nonpeo_lr_ar PEO_LR_AR 0.8 Total Loss Ratios by Modified Premium 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 2003 2004 2005 2006 2007 2008 2009 2010 70
Differences in Loss Ratios Across States Matched Exposure at Class Code Level 71
State Variation in Loss Ratios : Large PEO States Ordered from Left By Share of PEO in the State Bubble Size Reflects Share of Premium Across All States Policy Year 2005 1 0.9 0.8 Total Loss Ratios @ 2nd Report 0.7 0.6 0.5 0.4 0.3 FL05 TX05 GA05 IL05 AZ05 OK05 CO05 SC05 TN05 MO05 AL05 0.2 HI05 0.1 0 1 4 9 14 19 24 29 34 39 Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI, for Policy Year 2005 Non-PEO exposure matched to PEO exposure at class code level by state by policy year 72
State Variation in Loss Ratios : Large PEO States Ordered from Left By Share of PEO in the State Bubble Size Reflects Share of Premium Across All States Policy Year 2009 1 0.9 0.8 Total Loss Ratios @ 2nd Report 0.7 0.6 0.5 0.4 0.3 FL09 TX09 GA09 IL09 AZ09 OK09 WV09 CO09 SC09 TN09 MO09 HI09 AL09 0.2 0.1 0 1 4 9 14 19 24 29 34 39 Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI, for Policy Year 2009 Non-PEO exposure matched to PEO exposure at class code level by state by policy year 73
State Variation in Loss Ratios: Small PEO States Ordered from Left By Share of PEO in the State Bubble Size Reflects Share of Premium Across All States 1 Policy Year 2005 IA05 0.9 VT05 0.8 Total Loss Ratios @ 2nd Report 0.7 0.6 0.5 0.4 0.3 0.2 CT05 LA05 VA05 UT05 NV05 KY05 MD05MT05 IN05 NH05 NM05 OR05 NE05 AR05 MS05 AK05 RI05 ID05 0.1 0 43 48 53 58 63 68 73 78 ME05 DC05 Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI, for Policy Year 2005 Non-PEO exposure matched to PEO exposure at class code level by state by policy year 74
State Variation in Loss Ratios: Small PEO States Ordered from Left By Share of PEO in the State Bubble Size Reflects Share of Premium Across All States Policy Year 2009 1 0.9 0.8 MS09 ME09 Total Loss Ratios @ 2nd Report 0.7 0.6 0.5 0.4 0.3 0.2 LA09 CT09 VA09 UT09 NV09 KY09 IN09 MT09 NH09 KS09 NM09 OR09 IA09 NE09 AR09 ID09 AK09 RI09 SD09 0.1 0 43 48 53 58 63 68 73 78 Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI, for Policy Year 2009 Non-PEO exposure matched to PEO exposure at class code level by state by policy year 75
Differences in Loss Ratios Across States Voluntary Vs. Assigned Risk Relatively Comparable within a State Varies Across States Loss Ratios Typically Well Below 100% Matched Exposure at Class Code Level 76
PEO Size and Loss Experience Matched Exposure at Class Code Level 77
Loss Ratios for Individual PEOs Organized by Size of PEO Matched Exposure at Class Code Level 78
7.00 Many More Small PEOS Greater Variability in Loss Ratios Policy Year 2007 @2nd Report Bubble Size 1 Million Premium 6.00 Loss Time Claims Loss Ratio By Modified Premium 5.00 4.00 3.00 2.00 1.00 0.00 0.33 0.32 0.30 0.32 0.40 0.35 0.45 0.29 1.00 Bin 1 Bin 2 Bin 3 Bin 4 Bin 5 Bin 6 Bin 7 Bin 8 Share of premium Share of PEOs Premium Share PEO Count Share Source: Workers Compensation Statistical Plan data and Workers Compensation Policy data reported to NCCI, for Policy Year 2007 PEO Business Entity with premium below 5,000 dollars are excluded due to concern of data reporting and challenge in tracking. This excludes 0.04 percent of premium along with 0.004 percent of losses, therefore, there is not material impact to the analysis. 79
Salience * and PEO Loss Ratios Workers Comp and Public Health Professionals Are Aware of and Have Concerns about PEOs. Although Not Material in Terms of Market Share, The Large Number of Small PEOs with Poor Claims Experience and Loss Ratios Will Be Noticed and Remembered. * Salience: an item that stands out relative to neighboring items. 80
Takeaway Investigate Rather Than Just Speculate It Typically Will Be a Challenge If it were easy, it likely would have been done Expect Resistance to Initial Results Especially if the findings differ materially from the ex ante speculation Be Your Own Greatest Skeptic Challenge your findings you should know more about the subject than anyone else 81
Copyright 2012 National Council on Compensation Insurance, Inc. All Rights Reserved. Questions