Mike Manley Research Coordinator Oregon Department of Consumer & Business Services Study team: Jay Dotter, Mike Manley.

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Presentation transcript:

Mike Manley Research Coordinator Oregon Department of Consumer & Business Services Study team: Jay Dotter, Mike Manley

The 2014 study is the 15 th in the series Done every even-numbered year since 1986

Rapid rate increases (+14.2% in ’85, +26.7% in ’86) Other studies incomplete; lacked data on contiguous states We thought we could do a better, more comprehensive study Results: Oregon was 6 th highest in 1986

Variation in hazard mix skews averages. We want to measure rates for comparable employers– in a single risk classification, or the same mix of risks. Simple averages can be useful for tracking within one state over several years. But they are the wrong tool for comparisons across states.

Goals of the Oregon Rate Ranking Produce an average rate comparison, controlling for hazard mix Include all 50 states plus D.C. Report findings within the study year

Survey of all 50 states plus D.C. States report factors for voluntary-market manual rates, as of Jan.1 of the study year 50 classes with highest Oregon losses NCCI classification codes used (states do their own crosswalk) Weighted average by Oregon payrolls (the Index Rate)

“One of the most respected and widely accepted benchmarking efforts has been Oregon’s.” Barrett & Greene, Governing magazine “The State of Oregon has provided a reliable comparison of premiums paid by comparable employers…” John Burton and Daniel Mont, National Academy of Social Insurance IAIABC 2006 Research Award

6th 8th 22nd 32nd 38th 35th 42nd 41st

Comparability issues: Classes and payroll weights change over time. But the effects of class changes are typically minor. How does the study’s median index rate do as a national benchmark?

Note: BLS data are through 2nd Quarter 2014

Peaked at +49% in 1990 Dropped to -15% by % in 2012; -26% in 2014

1.Compares rates for employers who purchase insurance in the voluntary market 2.Uses only those cost factors that apply to all employers 3.Reflects administrative and special fund assessments, but only when they’re part of premiums

Premium rate changes Expense factor and assessment changes Changes in the set of classifications used Changes in payroll mix within classifications

In 2004, there were 13 states within plus or minus 10 percent of the study median. In 2014 there were 21. This makes it more likely that small differences will affect rank values.

State % 2014 median 2014 Rank California188%1 Connecticut155%2 New Jersey152%3 New York148% 4 Alaska145%5 Oklahoma137%6 Illinois127%7 Vermont125%8 Delaware125%9 Louisiana120%10 Montana119%11 New Hampshire118%12 Maine116%13

Idaho109%14 Washington108%17 South Carolina108%17 Pennsylvania108%17 New Mexico108%20 Rhode Island107%20 Minnesota107%20 Missouri107%21 Tennessee105%22 Wisconsin104%23 Iowa101%24 South Dakota100%25 Hawaii100%27 North Carolina100%27 Florida98%28 Alabama97%29 Nebraska96%30 Wyoming95%31 Georgia95%32 Ohio94%33 Michigan91%34

Maryland88%35 Texas87%36 Arizona86%37 Mississippi85%38 Kansas83%39 Kentucky82%40 Colorado81%41 West Virginia74%43 Oregon74%43 Utah71%45 District of Columbia70%45 Nevada68%46 Massachusetts63%48 Virginia63%48 Arkansas58%49 Indiana57%50 North Dakota47%51

CA33% DE31% MO21% VT15% rising falling MT-14% AK-15% KY-22% IL-24%

No, effectiveness involves meeting other program objectives. A system that encourages safe workplaces, delivers adequate benefits and quality medical care, promptly resolves disputes, and maximizes return to work might well be relatively costly, but nevertheless provides value for the money.

Benefits are far too complex to be boiled down to a single measure. For example, the IAIABC/WCRI law comparison includes 66 different benefit attributes: 5 for Medical benefits 18 for Temp Total benefits 8 for Perm Total benefits 20 for Perm Partial benefits, and 15 for Fatal benefits

Oregon’s class mix is actually quite similar to the Country-wide mix in the largest classifications. So a “national” mix would affect the rankings very little.

CodeDescription 8810Clerical Office Employees NOC 8742Salespersons - Outside 8868COLLEGE: Professional Employees & Clerical 8832Physician and Clerical 9079Restaurant NOC 8017STORE: Retail, NOC 8833Hospital: Professional Employees These top 7 Oregon classes are all in the top 10 classes in NCCI country-wide payrolls. Together, they represent over 75% of the payroll weight in the study.

These factors apply to individual employers, not the state as a whole, so we can’t use them. The available data aren’t consistent or timely for all states. Based on NCCI data, however, it is likely that there is more discounting in the Oregon market than typical. This would mean that net employer costs would be somewhat lower than our study estimates.

States regulate self-insurers differently, so their costs aren’t reported consistently. We focus on employers who are purchasing insurance, so we can treat them comparably.

The decline in rates in most states that began after 2004 has slowed, but generally continued through The gap between the low-cost and high-cost states has been shrinking since Although this trend reversed somewhat in 2014, this factor diminishes the significance of rank values. States can track rates over time with the “% of study median” figure, which is less volatile than ranks.

WC Rate ranking reports interactive map: All WC research topics