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Transcript of Economic Forces Shaping the Workers Compensation Insurance Industry of Today and Tomorrow Workers...
Economic Forces Shaping the Workers Compensation Insurance Industry of Today and TomorrowWorkers Compensation Educational Conference
Orlando, FLAugust 25, 2015
Download at www.iii.org/presentations
Robert P. Hartwig, Ph.D., CPCU, President & EconomistInsurance Information Institute 110 William Street New York, NY 10038
Tel: 212.346.5520 Cell: 917.453.1885 [email protected] www.iii.org
2
P/C Insurance Industry Financial Overview
Reasonably Strong PerformanceWorkers Comp Improvement
Helped Too
2
P/C Industry Net Income After Taxes1991–2015:Q1 2005 ROE*= 9.6% 2006 ROE = 12.7% 2007 ROE = 10.9% 2008 ROE = 0.1% 2009 ROE = 5.0% 2010 ROE = 6.6% 2011 ROAS1 = 3.5% 2012 ROAS1 = 5.9% 2013 ROAS1 = 10.2% 2014 ROAS1 = 8.4% 2015:Q1 ROAS = 10.8%
• ROE figures are GAAP; 1Return on avg. surplus. Excluding Mortgage & Financial Guaranty insurers yields a 8.2% ROAS in 2014, 9.8% ROAS in 2013, 6.2% ROAS in 2012, 4.7% ROAS for 2011, 7.6% for 2010 and 7.4% for 2009.
Sources: A.M. Best, ISO; Insurance Information Institute
$1
4,1
78
$5
,84
0
$1
9,3
16
$1
0,8
70
$2
0,5
98
$2
4,4
04 $3
6,8
19
$3
0,7
73
$2
1,8
65
$3
,04
6
$3
0,0
29
$6
2,4
96
$3
,04
3
$3
5,2
04
$1
9,4
56 $
33
,52
2
$6
3,7
84
$5
5,5
01
$1
8,1
72
$3
8,5
01
$2
0,5
59
$4
4,1
55
$6
5,7
77
-$6,970
$2
8,6
72
-$10,000
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
$80,000
91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14
15:Q
1
Net income fell modestly
(-12.5%) in 2014 vs. 2013
$ Millions
-5%
0%
5%
10%
15%
20%
25%
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
00
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
:Q1
Profitability Peaks & Troughs in the P/C Insurance Industry, 1975 – 2015:Q1
*Profitability = P/C insurer ROEs. 2011-14 figures are estimates based on ROAS data. Note: Data for 2008-2014 exclude mortgage and financial guaranty insurers.Source: Insurance Information Institute; NAIC, ISO, A.M. Best, Conning
1977:19.0%1987:17.3%
1997:11.6% 2006:12.7%
1984: 1.8% 1992: 4.5% 2001: -1.2%
10 Years
10 Years
9 Years
History suggests next ROE peak will be in 2016-2017
ROE
1975: 2.4%
2013 9.8%
2014 8.2%
2015:Q1 10.8%
6
P/C Insurance Industry Combined Ratio, 2001–2015:Q1*
* Excludes Mortgage & Financial Guaranty insurers 2008--2014. Including M&FG, 2008=105.1, 2009=100.7, 2010=102.4, 2011=108.1; 2012:=103.2; 2013: = 96.1; 2014: = 97.0. Sources: A.M. Best, ISO.
95.7
99.3100.8
106.3
102.4
96.7 97.296.0
101.0
92.6
100.898.4
100.1
107.5
115.8
90
100
110
120
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15:Q1
As Recently as 2001, Insurers Paid Out
Nearly $1.16 for Every $1 in Earned
Premiums Relatively Low CAT Losses, Reserve Releases
Heavy Use of Reinsurance Lowered Net
Losses
Relatively Low CAT Losses, Reserve Releases
Higher CAT
Losses, Shrinking Reserve
Releases, Toll of Soft
Market
Cyclical Deterioration
Sandy Impacts
Lower CAT
Losses
Best Combined
Ratio Since 1949 (87.6)
Avg. CAT Losses,
More Reserve Releases
8
Return on Net Worth (RNW) All Lines:2004-2013 Average
25
.6
18
.4
13
.4
13
.2
9.2
8.9
7.9
7.8
7.1
7.1
6.6
4.9
-1.0
-5
0
5
10
15
20
25
30
Fire
Inla
nd Mar
ine
All O
ther
Med
ical
Pro
f Lia
bility
Comm
Auto
Tota
l
Comm
erci
al MP
All Lin
es
Oth
er L
iabili
ty
Work
ers
Comp
PP Auto
Tota
l
Homeow
ners
MP
Farmow
ners
MP
Allied L
ines
Source: NAIC; Insurance Information Institute.
Commercial lines have tended to be more profitable than
personal lines over the past decade
-15%
-10%
-5%
0%
5%
10%
15%
20%
25%
30%
35%
75 77 79 81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11 13
Economic Shocks, Inflation:
1976: 22.2%Tort Crisis
1986: 30.5%
Post-9/112002: 22.4%
Great Recession:2009: -9.0%
ROE
2014E 4.0%
Commercial Lines NPW Premium Growth:1975 – 2014E
Recessions:1982: 1.1%
Commercial lines is prone to more cyclical volatility that personal
lines. Recently, growth has stabilized in the 4% to 5% range.
1988-2000: Period of
inter-cycle stability
2010-20XX? Post-
recession period of
stable growth?
Note: Data include state funds beginning in 1998.Source: A.M. Best; Insurance Information Institute.
Post-Hurricane Andrew Bump:
1993: 6.3%
Post Katrina Bump:
2006: 7.7%
12
Direct Premiums Written: Comm. LinesPercent Change by State, 2007-2014
80
.4
36
.8
33
.3
29
.4
24
.8
22
.5
21
.0
20
.6
15
.2
14
.6
13
.9
11
.8
10
.3
8.7
8.5
8.4
8.0
7.9
7.6
7.1
6.6
5.9
5.9
5.8
5.4
4.5
0
10
20
30
40
50
60
70
80
90
ND
SD VT
OK
NE IA KS
TX
WY
AK IN
MN WI
MA
AR
CT
NY
NJ
CO
NM
OH LA
US
MS
NH
MO
Pe
ce
nt
ch
an
ge
(%
)
Sources: SNL Financial LLC.; Insurance Information Institute.
Top 25 States
43 states showed commercial lines growth from 2007
through 2014
Growth Benchmarks: Commercial
US: 5.9%
13
Direct Premiums Written: Comm. LinesPercent Change by State, 2007-2014
4.5
4.4
4.2
4.1
3.9
3.8
3.7
3.3
3.3
3.2
3.1
2.8
2.8
2.2
2.1
1.4
0.9
-1.3
-3.2
-5.3
-6.5
-6.9
-9.2
-10
.7
-19
.9
-22
.2
-25
-20
-15
-10
-5
0
5
10
MI
TN
MD
MT
CA RI
WA
GA
PA
UT IL KY VA
NC
ME
SC ID AL
DC HI
FL
OR AZ
DE
NV
WV
Pe
ce
nt
ch
an
ge
(%
)
Bottom 25 States
Sources: SNL Financial LLC.; Insurance Information Institute.
States with the poorest performing economies also produced the most negative
net change in premiums of the past 6 years
Nearly half the states have yet to see commercial lines premium
volume return to pre-crisis levels
14
Direct Premiums Written: Workers’ CompPercent Change by State, 2007-2014*
35
.1
27
.1
27
.1
24
.4
22
.3
20
.6
18
.7
14
.6
11
.7
9.4
7.5
7.1
6.7
4.2
3.9
3.8
2.7
1.7
0.5
0.1
0.1
0.0
-1.1
-1.1
-1.3
-5
0
5
10
15
20
25
30
35
40
IA CA
SD
NY
OK NJ
CT
KS
NE MI
MS IN
MN
US
NM TX WI
IL
CO
GA
VA
NH PA RI
MD
Pe
ce
nt
ch
an
ge
(%
)
*Excludes monopolistic fund states: ND, OH, WA, WY as well as WV, which transitioned to a competitive structure during this period.Sources: SNL Financial LC.; Insurance Information Institute.
Top 25 States
Only 21 states have seen works comp premium volume
return to pre-crisis levels
15
Direct Premiums Written: Worker’s CompPercent Change by State, 2007-2014*
-2.6
-2.9
-3.6
-4.8
-6.0
-8.5
-9.1
-9.2
-9.2
-11
.7
-12
.2
-13
.5
-14
.4
-17
.1
-17
.9
-19
.4
-19
.5
-23
.4
-25
.2
-29
.5
-30
.3
-34
.9
-80-75-70-65-60-55-50-45-40-35-30-25-20-15-10-50
VT
DC
MA ID NC AZ
MO LA
TN AR
SC
ME
AK
AL
FL
KY
UT
MT HI
DE
OR
NV
Pe
ce
nt
ch
an
ge
(%
)
Bottom 25 States
*Excludes monopolistic fund states: ND, OH, WA, WY as well as WV, which transitioned to a competitive structure during this period.Sources: SNL Financial LC.; Insurance Information Institute.
States with the poorest performing economies also produced some of the most
negative net change in premiums of the past 7 years
INVESTMENTS: THE NEW REALITY
16
Investment Performance is a Key Driver of Profitability
Low Yields Have an Especially Large Influence on Profitability of
Long-Tailed Lines Like WC16
Property/Casualty Insurance Industry Investment Income: 2000–2015E1
$38.9$37.1 $36.7
$38.7
$54.6
$51.2
$47.1 $47.6$49.2
$48.0 $47.3$46.2 $46.7
$39.6
$49.5
$52.3
$30
$40
$50
$60
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15E
Due to persistently low interest rates,investment income fell in 2012, 2013 and 2014.
1 Investment gains consist primarily of interest and stock dividends. *2015 figure is estimated based on annualized data through Q1.Sources: ISO; Insurance Information Institute.
($ Billions) Investment earnings are still below their 2007 pre-crisis peak
18
U.S. Treasury Security Yields:A Long Downward Trend, 1990–2015*
*Monthly, constant maturity, nominal rates, through July 2015.Sources: Federal Reserve Bank at http://www.federalreserve.gov/releases/h15/data.htm. National Bureau of Economic Research (recession dates); Insurance Information Institute.
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
'90 '91 '92 '93 '94 '95 '96 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15
Recession2-Yr Yield10-Yr Yield
Yields on 10-Year U.S. Treasury Notes have been essentially below 5% for a full decade.
Since roughly 80% of P/C bond/cash investments are in 10-year or shorter durations, most P/C insurer portfolios will have low-yielding bonds for years to come.
U.S. Treasury yields plunged to historic lows in 2013. Longer-
term yields rebounded then sank fell again.
18
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 94 96 98 00 02 04 06 08 10 12 14
*Through August 24, 2015.Source: NYU Stern School of Business: http://pages.stern.nyu.edu/~adamodar/New_Home_Page/datafile/histretSP.html Ins. Info. Inst.
Tech Bubble Implosion
Financial Crisis
Annual Return
Energy Crisis
2015 YTD:
-8.1%
S&P 500 Index Returns, 1950 – 2015*
Fed Raises Rate
Volatility is endemic to stock markets—and may be increasing—but there is no persistent
downward trend over long periods of time
25
Labor Markets Trends: Recovery Continues in 2015
In 2014…Largest Increase in Jobs Since 1997Unemployment Rate Fell to Lowest
Level Since 2008Payrolls Expanded to Record High
25
26
Unemployment and Underemployment Rates: Still Too High, But Falling
2
4
6
8
10
12
14
16
18
Jan00
Jan01
Jan02
Jan03
Jan04
Jan05
Jan06
Jan07
Jan08
Jan09
Jan10
Jan11
Jan12
Jan13
Jan14
Jan15
"Headline" Unemployment Rate U-3
Unemployment + Underemployment RateU-6
“Headline” unemployment
was 5.3% in July 2015. 4.5% to
5.5% is “normal.”
Source: US Bureau of Labor Statistics; Insurance Information Institute.
January 2000 through July 2015, Seasonally Adjusted (%)
Stubbornly high unemployment and underemployment constrain overall economic growth, but the job market is continuing to improve.
26
U-6 soared from 8.0% in March
2007 to 17.5% in October 2009; Stood at 10.4% in June 2015.8% to 10% is
“normal.”
23
15
21
70
52
12
65
73
-71
32 6
4 81
55
3-1
15
-10
6-2
21
-21
5-2
06
-26
1-2
58
-42
2-4
86
-77
6 -69
3-8
21
-69
8-8
10
-80
1-2
94
-42
6-2
72
-23
2 -14
1-2
71
-15
-23
22
0-3
81
92
94 11
01
20
11
71
07
19
91
49
94
72
22
32
31 3
20
16
61
86
21
91
25
26
81
77
19
12
22
36
42
28
24
61
02
13
17
51
72
13
61
59
25
52
11
21
52
19 26
31
64
18
8 22
22
01
17
01
80
15
32
47
27
28
61
83
17
5 22
33
13
23
8 27
22
43
20
92
35
21
84
14
31
92
02 2
61
11
7 18
9 25
22
27
21
0
11
3
(1,000)
(800)
(600)
(400)
(200)
0
200
400
600
Jan-
07F
eb-0
7M
ar-0
7A
pr-0
7M
ay-
Jun-
07Ju
l-07
Aug
-S
ep-
Oct
-07
Nov
-D
ec-
Jan-
08F
eb-0
8M
ar-0
8A
pr-0
8M
ay-
Jun-
08Ju
l-08
Aug
-S
ep-
Oct
-08
Nov
-D
ec-
Jan-
09F
eb-0
9M
ar-0
9A
pr-0
9M
ay-
Jun-
09Ju
l-09
Aug
-S
ep-
Oct
-09
Nov
-D
ec-
Jan-
10F
eb-1
0M
ar-1
0A
pr-1
0M
ay-
Jun-
10Ju
l-10
Aug
-S
ep-
Oct
-10
Nov
-D
ec-
Jan-
11F
eb-1
1M
ar-1
1A
pr-1
1M
ay-
Jun-
11Ju
l-11
Aug
-S
ep-
Oct
-11
Nov
-D
ec-
Jan-
12F
eb-1
2M
ar-1
2A
pr-1
2M
ay-
Jun-
12Ju
l-12
Aug
-S
ep-
Oct
-12
Nov
-D
ec-
Jan-
13F
eb-1
3M
ar-1
3A
pr-1
3M
ay-
Jun-
13Ju
l-13
Aug
-S
ep-
Oct
-13
Nov
-D
ec-
Jan-
14F
eb-1
4M
ar-1
4A
pr-1
4M
ay-
Jun-
14Ju
l-14
Aug
-S
ep-
Oct
-14
Nov
-D
ec-
Jan-
15F
eb-1
5M
ar-1
5A
pr-1
5M
ay-
Jun-
15Ju
l-15
Monthly Change in Private Employment
January 2007 through July 2015 (000s, Seasonally Adj.)
Private Employers Added 12.84 Million Jobs Since Jan. 2010 After Having Shed 5.01 Million Jobs in 2009 and 3.76 Million in 2008 (State and Local Governments Have Shed Hundreds of Thousands of Jobs)
Source: US Bureau of Labor Statistics: http://www.bls.gov/ces/home.htm; Insurance Information Institute
Monthly losses in Dec. 08–Mar.
09 were the largest in the
post-WW II period
210,000 private sector jobs were created in July.
27
Jobs Created2014: 3.042 Mill2013: 2.452 Mill2012: 2.315 Mill2011: 2.396 Mill2010: 1.282 Mill
3,042,000 jobs were created in 2014, the most since 1997
28
US Unemployment Rate Forecast4
.5%
4.5
%4
.6%
4.8
%4
.9% 5.4
% 6.1
%6
.9%
8.1
%9
.3%
9.6
% 10
.0%
9.7
%9
.6%
9.6
%
8.9
%9
.1%
9.1
%8
.7%
8.3
%8
.2%
8.0
%7
.8%
7.7
%7
.6%
7.3
%7
.0%
6.6
%6
.2%
6.1
%5
.7%
5.6
%5
.4%
5.3
%5
.1%
5.0
%4
.9%
4.8
%4
.8%
9.6
%
4%
5%
6%
7%
8%
9%
10%
11%
07
:Q1
07
:Q2
07
:Q3
07
:Q4
08
:Q1
08
:Q2
08
:Q3
08
:Q4
09
:Q1
09
:Q2
09
:Q3
09
:Q4
10
:Q1
10
:Q2
10
:Q3
10
:Q4
11
:Q1
11
:Q2
11
:Q3
11
:Q4
12
:Q1
12
:Q2
12
:Q3
12
:Q4
13
:Q1
13
:Q2
13
:Q3
13
:Q4
14
:Q1
14
:Q2
14
:Q3
14
:Q4
15
:Q1
15
:Q2
15
:Q3
15
:Q4
16
:Q1
16
:Q2
16
:Q3
16
:Q4
Rising unemployment eroded payrolls
and WC’s exposure base.
Unemployment peaked at 10% in late 2009.
* = actual; = forecastsSources: US Bureau of Labor Statistics; Blue Chip Economic Indicators (8/15 edition); Insurance Information Institute.
2007:Q1 to 2016:Q4F*
Unemployment forecasts have been revised modestly
downwards. Optimistic scenarios put the
unemployment as low as 5.0% by Q4 of 2015.
Jobless figures have been revised
downwards for 2015/16
29
Unemployment Rates by State, June 2015:Highest 25 States*
7.4
7.0
6.9
6.8
6.6
6.6
6.4
6.4
6.3
6.1
6.1
6.1
5.9
5.9
5.9
5.8
5.8
5.7
5.7
5.7
5.5
5.5
5.5
5.5
5.4
5.3
0
2
4
6
8
WV DC NV AK MS SC LA NM CA AL GA NJ AZ IL RI MO NC AR CT TN FL MI NY OR PA US
Un
em
plo
ym
en
t R
ate
(%
)
*Provisional figures for June 2015, seasonally adjusted.Sources: US Bureau of Labor Statistics; Insurance Information Institute.
In June, 21 states and the District of Columbia had over-the-month unemployment rate decreases, 12 states had increases, and 17 states had no change.
30
5.3
5.2
5.2
5.1
4.9
4.9
4.7
4.7
4.6
4.6
4.5
4.5
4.4
4.2
4.1
4.0
4.0
3.9
3.9
3.8
3.8
3.7
3.6
3.5
3.1
2.6
0
1
2
3
4
5
6
WA MD OH KY IN VA DE ME MA WI KS OK CO TX WY HI ID MN MT NH SD IA VT UT ND NE
Un
em
plo
ym
en
t R
ate
(%
)
Unemployment Rates by State, June 2015: Lowest 25 States*
*Provisional figures for June 2015, seasonally adjusted.Sources: US Bureau of Labor Statistics; Insurance Information Institute.
In June, 21 states and the District of Columbia had over-the-month unemployment rate decreases, 12 states had increases, and 17 states had no change.
32
Average Weekly Hours of All Private Workers, Mar. 2006—April 2015
*Seasonally adjustedNote: Recessions indicated by gray shaded columns.Sources: US Bureau of Labor Statistics at http://www.bls.gov/data/#employment; National Bureau of Economic Research (recession dates); Insurance Information Institute.
33.5
33.6
33.7
33.8
33.9
34.0
34.1
34.2
34.3
34.4
34.5
34.6
34.7
34.8
'06 '07 '08 '09 '10 '11 '12 '13 '14 '15
Hours worked totaled 34.5 per week in April,
just shy of the 34.6 hours typically worked
before the “Great Recession”
Hours worked plunged during the recession,
impacting payroll
exposures
(Hours Worked)
33
Average Hourly Wage of All Private Workers, Mar. 2006—April 2015
*Seasonally adjustedNote: Recessions indicated by gray shaded columns.Sources: US Bureau of Labor Statistics at http://www.bls.gov/data/#employment; National Bureau of Economic Research (recession dates); Insurance Information Institute.
$0.00
$5.00
$10.00
$15.00
$20.00
$25.00
$30.00
'06 '07 '08 '09 '10 '11 '12 '13 '14 '15
The average hourly wage was $24.87 in April 2015,
up 17.2% from $21.22 when the recession began in Dec. 2007
Wage gains continued during the
recession, despite massive job losses
(Hourly Wage)
CONSTRUCTION INDUSTRY OVERVIEW & OUTLOOK
37
The Construction Sector Is Critical to the Economy and the P/C Insurance Industry
37
43
(Millions of Units)
New Private Housing Starts, 1990-2021F
1.4
81
.47 1
.62
1.6
41
.57
1.6
0 1.7
1 1.8
5 1.9
6 2.0
71
.80
1.3
60
.91
0.5
50
.59
0.6
1 0.7
8 0.9
2 1.1
01
.12 1
.27 1.4
11
.46
1.4
91
.52
1.5
2
1.3
51.4
61
.29
1.2
0
1.0
11.1
9
0.3
0.5
0.7
0.9
1.1
1.3
1.5
1.7
1.9
2.1
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15F 16F 17F 18F 19F20F 21F
Source: U.S. Department of Commerce; Blue Chip Economic Indicators (8/15); Insurance Information Institute.
Insurers Are Continue to See Meaningful Exposure Growth in the Wake of the “Great Recession” Associated with Home Construction: Construction Risk
Exposure, Surety, Commercial Auto; Potent Driver of Workers Comp Exposure
New home starts plunged 72% from 2005-2009; A net
annual decline of 1.49 million units, lowest since records began
in 1959
Job growth, low inventories of existing homes, low mortgage rates and demographics should continue to stimulate new home construction
for several more years
47
Construction Employment,Jan. 2010—July 2015*
*Seasonally adjusted.Sources: US Bureau of Labor Statistics at http://data.bls.gov; Insurance Information Institute.
5,58
15,
522
5,54
25,
554
5,52
75,
512
5,49
75,
519
5,49
95,
501
5,49
75,
468
5,43
55,
478
5,48
55,
497
5,52
45,
530
5,54
75,
546
5,58
35,
576
5,57
75,
612
5,62
95,
629
5,62
85,
627
5,60
85,
623
5,63
25,
641
5,64
95,
668
5,68
45,
724
5,74
6 5,79
85,
815
5,81
35,
833
5,85
65,
854
5,86
65,
893
5,91
85,
953
5,93
7 6,00
66,
032
6,06
26,
103
6,11
46,
121
6,15
26,
169
6,19
16,
201
6,23
16,
275
6,31
66,
347
6,33
56,
365
6,37
76,
377
6,38
3
5,400
5,500
5,600
5,700
5,800
5,900
6,000
6,100
6,200
6,300
6,400
6,500
Jan-
10F
eb-1
0M
ar-1
0A
pr-1
0M
ay-1
0Ju
n-10
Jul-1
0A
ug-1
0S
ep-1
0O
ct-1
0N
ov-1
0D
ec-1
0Ja
n-11
Feb
-11
Mar
-11
Apr
-11
May
-11
Jun-
11Ju
l-11
Aug
-11
Sep
-11
Oct
-11
Nov
-11
Dec
-11
Jan-
122/
30/2
0M
ar-1
2A
pr-1
2M
ay-1
2Ju
n-12
Jul-1
2A
ug-1
2S
ep-1
2O
ct-1
2N
ov-1
2D
ec-1
2Ja
n-13
Feb
-13
Mar
-13
Apr
-13
May
-13
Jun-
13Ju
l-13
Aug
-13
Sep
-12
Oct
-13
Nov
-13
Dec
-13
Jan-
14F
eb-1
4M
ar-1
4A
pr-1
4M
ay-1
4Ju
n-14
Jul-1
4A
ug-1
4S
ep-1
4O
ct-1
4N
ov-1
4D
ec-1
4Ja
n-15
Feb
-15
Mar
-15
Apr
-15
May
-15
Jun-
15Ju
l-15
Construction employment is +948,000 above
Jan. 2011 (+17.4%) trough
(Thousands)
Construction and manufacturing employment constitute 1/3 of all WC payroll exposure.
48
Construction Employment, Jan. 2003–July 2015
Note: Recession indicated by gray shaded column.Sources: U.S. Bureau of Labor Statistics; Insurance Information Institute.
5,000
5,500
6,000
6,500
7,000
7,500
8,000
'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15
The “Great Recession” and housing bust destroyed 2.3 million constructions jobs
The Construction Sector Was a Growth Leader in 2014 as the Housing Market, Private Investment and Govt. Spending Recover. WC Insurers Will Benefit.
Construction employment troughed at 5.435 million in
Jan. 2011, after a loss of 2.291 million jobs, a 29.7% plunge
from the April 2006 peak
48
Construction employment
peaked at 7.726 million in April 2006
(Thousands) Construction employment as of July 2015 totaled 6.383 million, an
increase of 948,000 jobs or 17.4% from
the Jan. 2011 trough
Gap between pre-recession
construction peak and today: 1.34 million jobs
49
ENERGY SECTOR
America’s Energy Boom Has Been a Strong Driver of the Economic Recovery,
but Prices Are FallingWorkers Comp Has Benefited from the
Energy Boom, But Exposures Will Suffer as Energy Prices Swoon
49
52
Employment in Oil & Gas Extraction,Jan. 2010—July 2015*
*Seasonally adjustedSources: US Bureau of Labor Statistics at http://data.bls.gov; Insurance Information Institute.
Jan-
10
Mar
-10
May
-10
Jul-1
0
Sep
-10
Nov
-10
Jan-
11
Mar
-11
May
-11
Jul-1
1
Sep
-11
Nov
-11
Jan-
12
Mar
-12
May
-12
Jul-1
2
Sep
-12
Nov
-12
Jan-
13
Mar
-13
May
-13
Jul-1
3
Sep
-13
Nov
-13
Jan-
14
Mar
-14
May
-14
Jul-1
4
Sep
-14
Nov
-14
Jan-
15
Mar
-15
May
-15
Jul-1
5
150
160
170
180
190
200
210
156.
515
6.4
156.
715
7.6
158.
715
8.1
158.
415
9.7
160.
216
1.5
161.
416
1.0
162.
716
4.3
166.
616
9.2
170.
117
1.2
172.
617
4.0
176.
617
8.2
178.
718
0.6
181.
318
2.3
184.
718
5.2
186.
218
7.8
188.
618
9.3
189.
418
9.4
190.
519
2.2
193.
119
4.6
194.
019
3.8
193.
119
2.5
193.
019
3.4
193.
319
3.1
194.
019
4.0
194.
019
5.4
193.
719
4.6
196.
419
7.6
198.
619
8.4
199.
420
1.5
201.
020
1.2
199.
419
7.6
197.
719
4.4
194.
219
3.3
193.
8
Oil and gas extraction employment was up
28.8% by Oct. 2014 but falling energy prices have taken their toll
(000)
Employment in the O&G segment is down 3.8%
since its Oct. 2014 peak
53
MANUFACTURING SECTOR
A Potent Driver of Jobs, Workers Comp Payroll Exposure
America’s Manufacturing Renaissance Has Hit a Rough Patch with the High Dollar/Chinese Devaluation,
Weak Export Markets53
57
Manufacturing Employment,Jan. 2010—July 2015*
11,4
6011
,460
11,4
6611
,497
11,5
3111
,539
11,5
5811
,548
11,5
5411
,555
11,5
7711
,590
11,6
2411
,662
11,6
8211
,707
11,7
1511
,724
11,7
4711
,760
11,7
6211
,770
11,7
6911
,797
11,8
3411
,857
11,8
9911
,916
11,9
3011
,941
11,9
6511
,961
11,9
4811
,951
11,9
4711
,961
11,9
8012
,002
12,0
0612
,006
12,0
0712
,005
11,9
8312
,011
12,0
2212
,040
12,0
7212
,086
12,1
0212
,122
12,1
3112
,142
12,1
5412
,177
12,1
9112
,205
12,2
1412
,237
12,2
8212
,301
12,3
1812
,321
12,3
2712
,327
12,3
3312
,335
12,3
50
11,250
11,500
11,750
12,000
12,250
12,500Ja
n-1
0F
eb
-10
Ma
r-1
0A
pr-
10
Ma
y-1
0Ju
n-1
0Ju
l-1
0A
ug
-10
Se
p-1
0O
ct-1
0N
ov-
10
De
c-1
0Ja
n-1
1F
eb
-11
Ma
r-1
1A
pr-
11
Ma
y-1
1Ju
n-1
1Ju
l-1
1A
ug
-11
Se
p-1
1O
ct-1
1N
ov-
11
De
c-1
1Ja
n-1
22
/30
/2M
ar-
12
Ap
r-1
2M
ay-
12
Jun
-12
Jul-
12
Au
g-1
2S
ep
-12
Oct
-12
No
v-1
2D
ec-
12
Jan
-13
Fe
b-1
3M
ar-
13
Ap
r-1
3M
ay-
13
Jun
-13
Jul-
13
Au
g-1
3S
ep
-13
Oct
-13
No
v-1
3D
ec-
13
Jan
-14
Fe
b-1
4M
ar-
14
Ap
r-1
4M
ay-
14
Jun
-14
Jul-
14
Au
g-1
4S
ep
-14
Oct
-14
No
v-1
4D
ec-
14
Jan
-15
Fe
b-1
5M
ar-
15
Ap
r-1
5M
ay-
15
Jun
-15
Jul-
15
Manufacturing employment is a surprising source of strength in the economy. Employment in the sector is at a multi-year high.
*Seasonally adjusted. Sources: US Bureau of Labor Statistics at http://data.bls.gov; Insurance Information Institute.
(Thousands) Since Jan 2010, manufacturing
employment is up (+890,000 or +7.8%)and still growing.
The “On-Demand” (Sharing) Economy
The On-Demand Economy Will Transform the American
Workforce and the P/C Insurance Industry Too
58
59
Labor on Demand: Huge Implications for the US Economy, Workers & Insurers
Will YOUR job be reduced to an app?
64
On-Demand/Sharing/Peer-to-Peer Economy Impacts Many Lines of Insurance The “On-Demand” Economy is or
will impact many segments of the economy important to P/C insurers
Auto (personal and commercial)
Homeowners/Renters
Many Liability Coverages
Professional Liability
Workers Comp Many unanswered insurance
questions
Insurance solutions are increasingly available to fill the many insurance gaps that arise
Technology and Employment
What Makes the On-Demand Economy Possible?
Why Does It Matter for Insurers?
65
0.8%1.7% 1.8% 2.3% 2.3%
18.6%
6.6% 6.2% 5.7%6.5%
5.3%
1.6%
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
2010 2011 2012 2013 2014 2015*
Growth in Temporary Workers vs. All Nonfarm Employment, 2010-2015*
*Through March 2015.Source: US Bureau of Labor Statistics , Insurance Information Institute.
Annual Percent Change
Demand for temporary workers has increased 2 to 3 times faster than for workers
overall in recent years
69
The On-Demand Economy and American Workers: What Is Happening?
Technology is Fundamentally Transforming How Resources are Allocated and Used in the Economy
Labor is No Exception to this Transformation
Technology Offers New Opportunities to Match Labor to Jobs
Owners of spare capacity (workers with time and skill) can be paired at low cost with those with a demand for that time and skill
Bringing together labor and those who employ labor is not new
BUT: Pairing occurs with a speed and breadth never before possible
Witnessing the Demise of the Traditional Understanding of What is Meant by a “Good” Job
Concept born in the Industrial Age (1880-1980), is eroding
Disintermediation of the firm as the place where labor, jobs matched
Accelerating Trends that Started with Labor Strife, Globalization and Automation that Began in the 1970s and 1980s
72
Potential Consequences for Insurers
On-Demand Platforms Have Struggled with Concepts of Liability There Has Been a General Resistance to Assuming Liability or
Responsibility Unless Compelled to Do So Companies Have Sought to Keep as Much Liability as Possible on
the Individual Offering their (Contracted) Labor or Resources Minding the Gap
Traditional insurance will often not cover a worker engaged in offering labor or resources through these platforms
E.g., Auto ins. generally won’t cover you if you while driving for Uber
Home ins. won’t cover for other than occasional rentals of property
Unless self-procured, on-demand worker (independent contactors) will generally have no workers comp recourse if injured on the job
Long Legislative and Court Battles Lie Ahead
Insurance Solutions Becoming More Common
73
On-Demand Workers
Who Are They?
And Who’s Driving Demand for Them?
73
74
19%
9%8%
6%
2%
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
Tried It--AnySector
Entertainment &Media
Automotive &Transportation
Hospitality &Dining
Retail
Percent of People Who Have Engaged in an “On Demand/Sharing Economy” Transaction
The majority of the US population has yet to engage in the “On
Demand” economy
Sources: PwC survey of 1,000 adults in the U.S., conducted online, December 2014; Insurance Information Institute.
Percent
About 19% of the US population has engaged in an “On Demand/Sharing Economy” Transaction
75
Age of People Who are Providing the Sharing/On-Demand Economy
Sources: PwC survey of 1,000 adults in the U.S., conducted online, December 2014; Insurance Information Institute.
18 to 2414%
25 to 3424%
35 to 4424%
45 to 5414%
55 to 648%
65+16%
Being a provider of services in the
Sharing/On-Demand Economy is
attractive to workers in the 25-44 age range (who want
flexibility in raising families) as well as
seniors age 65+ who see the offering their services on-demand as a way to augment
retirement income
About 7% of US population are providers in the Sharing Economy, cutting across age and incomes; 51% of those familiar with the concept could see them
selves as providers within the next two years.
76
Household Income: Providers of the Sharing/On-Demand Economy
Sources: PwC survey of 1,000 adults in the U.S., conducted online, December 2014; Insurance Information Institute.
Less than $25,000
19%
$25,000 - $49,999
24%
$50,000 - $74,999
16%
$75,000 - $99,999
16%
$100,000 - $149,999
11%
$150,000 - $149,999
3%
$200,000+11%
Being a provider of services in the
Sharing/On-Demand Economy is particularly
attractive to workers with household incomes under
$50,000
About 7% of US population are providers in the Sharing Economy, cutting across age and incomes; 51% of those familiar with the concept could see them
selves as providers within the next two years.
The On-Demand Economy andWall Street
Wall Street Loves the On-Demand Economy
Labor Markets, Insurance Markets Will Be Impacted
77
79
An UBER Case Study
Uber is the Best Known of the On-Demand CompaniesWall Street Loves Uber
Vested Interests Hate Uber
79
Uber says drivers are independent
contractors. State of California says they’re
employees. Big impacts for several lines of insurance
including WC!
www.iii.org
Thank you for your timeand your attention!
Twitter: twitter.com/bob_hartwigDownload at www.iii.org/presentations
Insurance Information Institute Online:
85