The Pit and the Pendulum - Energy.gov 2015... · 2015-04-14 · Source: International Monetary...

By: Anirban Basu Sage Policy Group, Inc.

March 25th, 2015

The Pit and the Pendulum

On Behalf of

U.S. Department of Energy

Acquisition and Project Management Workshop

Dawn of the Dead

Real GDP Growth, 20 Fastest and Slowest Growing Countries Projected 2014, Annual Percent Change (for available nations)

Rank Country Region % Rank Country Region %

1 Turkmenistan Central Asia 10.1 169 Netherlands Europe 0.6

2 Chad Africa 9.6 170 France Europe 0.4

3 Mongolia Asia 9.1 171 Brazil South America 0.3

4 Democratic Republic of the Congo Africa 8.6 172 Russia Eastern Europe 0.2

5 Côte d'Ivoire Africa 8.5 173 Solomon Islands Pacific Islands 0.1

6 Myanmar Southeast Asia 8.5 174 San Marino Europe 0.0

7 Mozambique Africa 8.3 175 Italy Europe -0.2

8 Ethiopia Africa 8.2 176 Finland Northern Europe -0.2

9 Sierra Leone Africa 8.0 177 Serbia Eastern Europe -0.5

10 China Asia 7.4 178 Barbados Caribbean -0.6

11 Lao P.D.R. Southeast Asia 7.4 179 Croatia Eastern Europe -0.8

12 The Gambia Africa 7.4 180 St. Lucia Caribbean -1.1

13 Tanzania Africa 7.2 181 Argentina South America -1.7

14 Cambodia Southeast Asia 7.2 182 Equatorial Guinea Africa -2.5

15 Uzbekistan Central Asia 7.0 183 Iraq Middle East -2.7

16 Sri Lanka Southeast Asia 7.0 184 Venezuela South America -3.0

17 Nigeria Africa 7.0 185 Cyprus Europe -3.2

18 Mauritania Africa 6.8 186 Ukraine Eastern Europe -6.5

19 Burkina Faso Africa 6.7 187 South Sudan Africa -12.3

20 Panama Central America 6.6 188 Libya Middle East -19.8

Source: International Monetary Fund, October 2014 WEO Database

Estimated Growth in Output by Select Global Areas 2015 Projected*

3.2% 0.3%

1.3% 3.3%

6.3% 6.8%

6.4% -3.0%

2.9% 4.9%

4.3% 3.6%

2.3% 2.7%

0.6% 2.0%

0.4% 1.3%

0.9% 1.2%

2.4%

-5.0% -3.0% -1.0% 1.0% 3.0% 5.0% 7.0% 9.0%

MexicoBrazil

Latin America and CaribbeanMiddle East, North Africa, Afghanistan, & Pakistan

India***China

Developing AsiaRussia

Central/eastern EuropeSub-Saharan Africa

Emerging/developing countries**United States

CanadaUnited Kingdom

JapanSpain

ItalyGermany

FranceEuro area

Advanced economies

Annual % Change

Source: International Monetary Fund, January 2015 WEO Update

*Real effective exchange rates are assumed to remain constant at the levels prevailing during December 8, 2014–January 5, 2015.

**The quarterly estimates and projections account for approximately 80 percent of the emerging market and developing economies.

***For India, data and forecasts are presented on a fiscal year basis and output growth is based on GDP at market prices.

Corresponding growth rates for GDP at factor cost are 5.6 and 6.3 percent for 2014/15 and 2015/16, respectively.

Jobs 0.3%

Incomes 4.7%

Profits 61.0%

Housing -6.8%

Stocks 33.5%

-70%

-50%

-30%

-10%

10%

30%

50%

70%

2008 2009 2010 2011 2012 2013 2014

Per

cen

t ch

ange

sin

ce e

nd

of

200

7

What Lies Beneath

Source: BEA, BLS, S&P Case-Shiller, Yahoo! Finance

*Through June 2014

Source: U.S. Bureau of Labor Statistics

Median Weekly Earnings, Full-Time U.S. Workers* 2000Q4 through 2014Q4

*SA, Constant 1982-1984 dollars (adjusted to CPI-U) Wage and salary workers ages 16+

$320

$325

$330

$335

$340

$345

$350

200

0Q

4

200

1Q2

200

1Q4

200

2Q2

200

2Q4

200

3Q2

200

3Q4

200

4Q

2

200

4Q

4

200

5Q2

200

5Q4

200

6Q

2

200

6Q

4

200

7Q2

200

7Q4

200

8Q

2

200

8Q

4

200

9Q

2

200

9Q

4

2010

Q2

2010

Q4

2011

Q2

2011

Q4

2012

Q2

2012

Q4

2013

Q2

2013

Q4

2014

Q2

2014

Q4

Source: Bureau of Labor Statistics

Construction Employment Cost Index

12-Month Percent Change (NSA)

*Private industry workers in construction. Total compensation includes wages, salaries, and employer costs for employee benefits.

0.0%0.5%1.0%1.5%2.0%2.5%3.0%3.5%4.0%4.5%5.0%

200

1Q2

200

1Q4

200

2Q2

200

2Q4

200

3Q2

200

3Q4

200

4Q

2

200

4Q

4

200

5Q2

200

5Q4

200

6Q

2

200

6Q

4

200

7Q2

200

7Q4

200

8Q

2

200

8Q

4

200

9Q

2

200

9Q

4

2010

Q2

2010

Q4

2011

Q2

2011

Q4

2012

Q2

2012

Q4

2013

Q2

2013

Q4

2014

Q2

2014

Q4

Total Compensation Wages & Salaries

Source: Moody’s Economy

Recession Watch as of December 2014

Industrial Production February 2001 through February 2015

Source: Federal Reserve

The industrial production index measures the real output of the manufacturing, mining, and electric and gas utilities industries.

80

85

90

95

100

105

110

Feb

-01

Jun

-01

Oct

-01

Feb

-02

Jun

-02

Oct

-02

Feb

-03

Jun

-03

Oct

-03

Feb

-04

Jun

-04

Oct

-04

Feb

-05

Jun

-05

Oct

-05

Feb

-06

Jun

-06

Oct

-06

Feb

-07

Jun

-07

Oct

-07

Feb

-08

Jun

-08

Oct

-08

Feb

-09

Jun

-09

Oct

-09

Feb

-10

Jun

-10

Oct

-10

Feb

-11

Jun

-11

Oct

-11

Feb

-12

Jun

-12

Oct

-12

Feb

-13

Jun

-13

Oct

-13

Feb

-14

Jun

-14

Oct

-14

Feb

-15

Ind

ex

(20

07

= 1

00

)

(Base year: 2007)

Gross Domestic Product 1990Q1 through 2014Q4*

-10%

-8%

-6%

-4%

-2%

0%

2%

4%

6%

8%19

90

Q1

199

0Q

419

91Q

319

92Q

219

93Q

119

93Q

419

94

Q3

199

5Q2

199

6Q

119

96

Q4

199

7Q3

199

8Q

219

99

Q1

199

9Q

420

00

Q3

200

1Q2

200

2Q1

200

2Q4

200

3Q3

200

4Q

220

05Q

120

05Q

420

06

Q3

200

7Q2

200

8Q

120

08

Q4

200

9Q

320

10Q

220

11Q

120

11Q

420

12Q

320

13Q

220

14Q

120

14Q

4

Pe

rce

nt

Ch

an

ge

fro

m P

rece

din

g P

eri

od

(S

AA

R)

2014Q4: +2.2%

Source: Bureau of Economic Analysis

*2nd estimate

Contributions to GDP Growth by Component 2013Q4 – 2014Q4*

Source: Bureau of Economic Analysis

-3.0

-2.0

-1.0

0.0

1.0

2.0

3.0

PersonalConsumption

GovernmentSpending

Net Exports Gross Investment

2.5

-0.7

1.1

0.6 0.8

-0.2

-1.7

-1.1

1.8

0.3

-0.3

2.9

2.21

0.80 0.78

1.18

2.83

-0.32

-1.15

0.84

SA

AR

(%

)

Q4-13 Q1-14 Q2-14 Q3-14 Q4-14

*2nd estimate

Invasion of the Body Snatchers

-1,000

-800

-600

-400

-200

0

200

400

600Ja

n-0

2

Jul-

02

Jan

-03

Jul-

03

Jan

-04

Jul-

04

Jan

-05

Jul-

05

Jan

-06

Jul-

06

Jan

-07

Jul-

07

Jan

-08

Jul-

08

Jan

-09

Jul-

09

Jan

-10

Jul-

10

Jan

-11

Jul-

11

Jan

-12

Jul-

12

Jan

-13

Jul-

13

Jan

-14

Jul-

14

Jan

-15

Th

ou

san

ds


February 2015: +295K

Net Change in U.S. Jobs, BLS January 2002 through February 2015

National Nonfarm Employment by Industry Sector February 2014 v. February 2015

22

59

87

89

150

208

321

527

539

634

660

0 200 400 600 800

Mining and Logging

Information

Government

Other Services

Financial Activities

Manufacturing

Construction

Leisure and Hospitality

Education and Health Services

Trade, Transportation, and Utilities

Professional and Business Services

Thousands, SA

All told 3,296K Jobs gained


February-15: +29K

-200

-150

-100

-50

0

50

100

Feb

-00

Jun

-00

Oct

-00

Feb

-01

Jun

-01

Oct

-01

Feb

-02

Jun

-02

Oct

-02

Feb

-03

Jun

-03

Oct

-03

Feb

-04

Jun

-04

Oct

-04

Feb

-05

Jun

-05

Oct

-05

Feb

-06

Jun

-06

Oct

-06

Feb

-07

Jun

-07

Oct

-07

Feb

-08

Jun

-08

Oct

-08

Feb

-09

Jun

-09

Oct

-09

Feb

-10

Jun

-10

Oct

-10

Feb

-11

Jun

-11

Oct

-11

Feb

-12

Jun

-12

Oct

-12

Feb

-13

Jun

-13

Oct

-13

Feb

-14

Jun

-14

Oct

-14

Feb

-15

Mo

nth

ly N

et

Ch

an

ge

(th

ou

san

ds)

National Construction Employment Monthly Net Change February 2000 through February 2015


Industry Sector 15-Feb 15-Jan 14-Feb 1-net 12-net 12-%

Construction 6,353.0 6,324.0 6,032.0 29.0 321.0 5.3

Residential Building 687.9 688.4 642.6 -0.5 45.3 7.0

Nonresidential Building 722.4 716.7 690.8 5.7 31.6 4.6

Heavy & Civil Engineering Construction 935.4 939.1 899.7 -3.7 35.7 4.0

Specialty Trade Contractors 4,007.1 3,979.9 3,798.5 27.2 208.6 5.5

State-by-state Growth in Construction Jobs January 2014 v. January 2015


*Construction, Mining, and Logging are included in one industry.

STATE Year-over-

year Ch.

(‘000)

STATE Year-over-

year Ch.

(‘000)

STATE Year-over-

year Ch.

(‘000)

TEXAS 49.6 KENTUCKY 4.6 MISSOURI 0.8

CALIFORNIA 37.8 IDAHO 4.4 NEW MEXICO 0.8

FLORIDA 31.8 NORTH DAKOTA 4.3 HAWAII* 0.8

WASHINGTON 17.3 MARYLAND* 4.0 MONTANA 0.7

NEW YORK 16.4 LOUISIANA 3.9 RHODE ISLAND 0.6

COLORADO 13.5 VIRGINIA 3.9 VERMONT 0.6

MICHIGAN 13.2 ARKANSAS 3.2 KANSAS 0.5

NEW JERSEY 12.3 ARIZONA 2.8 SOUTH DAKOTA* 0.5

NORTH CAROLINA 11.3 OREGON 2.8 DISTRICT OF COLUMBIA* 0.3

ILLINOIS 11.1 OHIO 2.7 WYOMING 0.2

WISCONSIN 9.3 GEORGIA 2.6 DELAWARE* -0.1

UTAH 7.4 CONNECTICUT 2.3 NEBRASKA* -0.2

IOWA 6.5 SOUTH CAROLINA 1.7 MAINE -0.5

PENNSYLVANIA 5.7 OKLAHOMA 1.6 MINNESOTA -0.7

TENNESSEE* 5.7 ALABAMA 1.3 WEST VIRGINIA -0.7

NEVADA 5.4 NEW HAMPSHIRE 1.2 INDIANA -1.9

MASSACHUSETTS 4.7 ALASKA 1.0 MISSISSIPPI -6.6

U.S. Year-over-year Percent Change: 2.3%

Employment Growth, U.S. States (SA) January 2014 v. January 2015 Percent Change

RANK STATE % RANK STATE % RANK STATE %

1 NORTH DAKOTA 4.3 18 INDIANA 2.2 35 KANSAS 1.3

2 UTAH 4.0 18 KENTUCKY 2.2 35 LOUISIANA 1.3

3 FLORIDA 3.6 20 MASSACHUSETTS 2.0 35 VERMONT 1.3

3 NEVADA 3.6 21 ALABAMA 1.8 38 ALASKA 1.2

5 TEXAS 3.5 21 NEW YORK 1.8 38 NEBRASKA 1.2

6 OREGON 3.3 21 OHIO 1.8 38 NEW JERSEY 1.2

6 WASHINGTON 3.3 24 DELAWARE 1.6 41 ILLINOIS 1.1

8 CALIFORNIA 3.2 24 DISTRICT OF COLUMBIA 1.6 41 PENNSYLVANIA 1.1

8 GEORGIA 3.2 24 IOWA 1.6 43 MINNESOTA 1.0

10 IDAHO 3.1 24 MISSOURI 1.6 44 MISSISSIPPI 0.8

11 COLORADO 2.9 24 NEW MEXICO 1.6 44 MONTANA 0.8

12 ARIZONA 2.7 24 WYOMING 1.6 46 HAWAII 0.7

12 SOUTH CAROLINA 2.7 30 CONNECTICUT 1.5 46 NEW HAMPSHIRE 0.7

14 NORTH CAROLINA 2.6 30 MARYLAND 1.5 46 SOUTH DAKOTA 0.7

14 TENNESSEE 2.6 30 OKLAHOMA 1.5 46 VIRGINIA 0.7

16 MICHIGAN 2.4 30 WISCONSIN 1.5 50 WEST VIRGINIA 0.4

17 ARKANSAS 2.3 34 RHODE ISLAND 1.4 51 MAINE -0.1


U.S. Unemployment Rate January 2015: 5.7% February 2015: 5.5%

Unemployment Rates, U.S. States (SA) January 2015 RANK STATE % RANK STATE % RANK STATE %

1 NORTH DAKOTA 2.8 18 DELAWARE 5.0 35 ILLINOIS 6.1

2 NEBRASKA 2.9 18 WISCONSIN 5.0 36 ALASKA 6.3

3 SOUTH DAKOTA 3.4 20 MASSACHUSETTS 5.1 36 CONNECTICUT 6.3

3 UTAH 3.4 20 OHIO 5.1 36 MICHIGAN 6.3

5 MINNESOTA 3.7 20 PENNSYLVANIA 5.1 36 NEW JERSEY 6.3

6 OKLAHOMA 3.9 23 MAINE 5.2 36 OREGON 6.3

7 NEW HAMPSHIRE 4.0 24 NORTH CAROLINA 5.4 41 GEORGIA 6.4

7 WYOMING 4.0 25 KENTUCKY 5.5 41 WASHINGTON 6.4

9 HAWAII 4.1 25 MARYLAND 5.5 43 RHODE ISLAND 6.5

9 IDAHO 4.1 25 MISSOURI 5.5 44 ARIZONA 6.6

9 VERMONT 4.1 28 ARKANSAS 5.6 44 SOUTH CAROLINA 6.6

12 COLORADO 4.2 29 FLORIDA 5.7 46 TENNESSEE 6.7

12 IOWA 4.2 30 NEW YORK 5.8 47 CALIFORNIA 6.9

12 KANSAS 4.2 31 NEW MEXICO 5.9 48 LOUISIANA 7.0

15 MONTANA 4.4 31 WEST VIRGINIA 5.9 49 MISSISSIPPI 7.1

15 TEXAS 4.4 33 ALABAMA 6.0 49 NEVADA 7.1

17 VIRGINIA 4.7 33 INDIANA 6.0 51 DISTRICT OF COLUMBIA 7.7 Source: U.S. Bureau of Labor Statistics

Unemployment Rates, 20 Largest Metros (NSA) January 2015

Rank MSA UR Rank MSA UR

1 Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area 4.1 10

San Diego-Carlsbad, CA Metropolitan Statistical Area 5.8

2 Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area 4.4 12

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Metropolitan Statistical Area 6.0

3 Houston-The Woodlands-Sugar Land, TX Metropolitan Statistical Area 4.5 12

St. Louis, MO-IL Metropolitan Statistical Area1 6.0

4 San Francisco-Oakland-Hayward, CA Metropolitan Statistical Area 4.8 14

Atlanta-Sandy Springs-Roswell, GA Metropolitan Statistical Area 6.2

5 Boston-Cambridge-Nashua, MA-NH Metropolitan NECTA 4.9 14

Baltimore-Columbia-Towson, MD Metropolitan Statistical Area 6.2

5 Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area 4.9 16

New York-Newark-Jersey City, NY-NJ-PA Metropolitan Statistical Area 6.5

7 Miami-Fort Lauderdale-West Palm Beach, FL Metropolitan Statistical Area 5.5 17

Chicago-Naperville-Elgin, IL-IN-WI Metropolitan Statistical Area 6.9

7 Seattle-Tacoma-Bellevue, WA Metropolitan Statistical Area 5.5 18

Riverside-San Bernardino-Ontario, CA Metropolitan Statistical Area 7.3

9 Tampa-St. Petersburg-Clearwater, FL Metropolitan Statistical Area 5.7 19

Detroit-Warren-Dearborn, MI Metropolitan Statistical Area 7.4

10 Phoenix-Mesa-Scottsdale, AZ Metropolitan Statistical Area 5.8 19

Los Angeles-Long Beach-Anaheim, CA Metropolitan Statistical Area 7.4


Nightmare on Elm Street

15-Year & 30-Year Fixed Mortgage Rates February 1995 through March 2015*

Source: Freddie Mac

3.06%

3.78%

1%

2%

3%

4%

5%

6%

7%

8%

9%

10%

Feb

-95

Oct

-95

Jun

-96

Feb

-97

Oct

-97

Jun

-98

Feb

-99

Oct

-99

Jun

-00

Feb

-01

Oct

-01

Jun

-02

Feb

-03

Oct

-03

Jun

-04

Feb

-05

Oct

-05

Jun

-06

Feb

-07

Oct

-07

Jun

-08

Feb

-09

Oct

-09

Jun

-10

Feb

-11

Oct

-11

Jun

-12

Feb

-13

Oct

-13

Jun

-14

Feb

-15

Rat

e

15-yr 30-yr

*Week ending 3/19/2015

U.S. New Home Sales January 1999 through February 2015

Source: U.S. Census Bureau

February 2015 539K

0

200

400

600

800

1,000

1,200

1,400

1,600

Th

ou

san

ds,

SA

AR


U.S. Private New Multifamily Construction January 1993 through January 2015

$0

$10

$20

$30

$40

$50

$60Ja

n-9

3

Jan

-94

Jan

-95

Jan

-96

Jan

-97

Jan

-98

Jan

-99

Jan

-00

Jan

-01

Jan

-02

Jan

-03

Jan

-04

Jan

-05

Jan

-06

Jan

-07

Jan

-08

Jan

-09

Jan

-10

Jan

-11

Jan

-12

Jan

-13

Jan

-14

Jan

-15

$ B

illi

on

s (S

AA

R)


U.S. Homeownership

2014 Q4: 63.9%

60%

62%

64%

66%

68%

70%Q

4-1

98

0Q

4-1

98

1Q

4-1

98

2Q

4-1

98

3Q

4-1

98

4Q

4-1

98

5Q

4-1

98

6Q

4-1

98

7Q

4-1

98

8Q

4-1

98

9Q

4-1

99

0Q

4-1

99

1Q

4-1

99

2Q

4-1

99

3Q

4-1

99

4Q

4-1

99

5Q

4-1

99

6Q

4-1

99

7Q

4-1

99

8Q

4-1

99

9Q

4-2

00

0Q

4-2

00

1Q

4-2

00

2Q

4-2

00

3Q

4-2

00

4Q

4-2

00

5Q

4-2

00

6Q

4-2

00

7Q

4-2

00

8Q

4-2

00

9Q

4-2

010

Q4

-20

11Q

4-2

012

Q4

-20

13Q

4-2

014

U.S. Housing Building Permits February 1999 through February 2015


0

500

1,000

1,500

2,000

2,500

Feb

-99

Jun

-99

Oct

-99

Feb

-00

Jun

-00

Oct

-00

Feb

-01

Jun

-01

Oct

-01

Feb

-02

Jun

-02

Oct

-02

Feb

-03

Jun

-03

Oct

-03

Feb

-04

Jun

-04

Oct

-04

Feb

-05

Jun

-05

Oct

-05

Feb

-06

Jun

-06

Oct

-06

Feb

-07

Jun

-07

Oct

-07

Feb

-08

Jun

-08

Oct

-08

Feb

-09

Jun

-09

Oct

-09

Feb

-10

Jun

-10

Oct

-10

Feb

-11

Jun

-11

Oct

-11

Feb

-12

Jun

-12

Oct

-12

Feb

-13

Jun

-13

Oct

-13

Feb

-14

Jun

-14

Oct

-14

Feb

-15

Th

ou

san

ds,

SA

AR

1 Unit 5 units or more

February 2015: 1 Unit: 620K 5 Units or more: 445K

0%

1%

2%

3%

4%

5%

6%

7%

8%

9%

10%

1.4% 1.5% 1.9%

2.8%

3.8% 4.5%

5.1% 5.5%

6.9% 7.5%

8.1% 8.4%

9.4%

12-M

on

th %

Ch

ange

S&P/Case-Shiller Home Price Indices for Select Metros December 2014, 12-Month Percentage Change

Source: Standard & Poor’s

Source: The American Institute of Architects

Architecture Billings Index January 2008 through February 2015

30

35

40

45

50

55

60

Jan

-08

Mar

-08

May

-08

Jul-

08

Sep

-08

No

v-0

8

Jan

-09

Mar

-09

May

-09

Jul-

09

Sep

-09

No

v-0

9

Jan

-10

Mar

-10

May

-10

Jul-

10

Sep

-10

No

v-10

Jan

-11

Mar

-11

May

-11

Jul-

11

Sep

-11

No

v-11

Jan

-12

Mar

-12

May

-12

Jul-

12

Sep

-12

No

v-12

Jan

-13

Mar

-13

May

-13

Jul-

13

Sep

-13

No

v-13

Jan

-14

Mar

-14

May

-14

Jul-

14

Sep

-14

No

v-14

Jan

-15

February 2015: 50.4

Nonresidential Construction Put-in-Place December 2006 through January 15

0

100

200

300

400

500

600

700

800D

ec-0

6

Mar

-07

Jun

-07

Sep

-07

Dec

-07

Mar

-08

Jun

-08

Sep

-08

Dec

-08

Mar

-09

Jun

-09

Sep

-09

Dec

-09

Mar

-10

Jun

-10

Sep

-10

Dec

-10

Mar

-11

Jun

-11

Sep

-11

Dec

-11

Mar

-12

Jun

-12

Sep

-12

Dec

-12

Mar

-13

Jun

-13

Sep

-13

Dec

-13

Mar

-14

Jun

-14

Sep

-14

Dec

-14

SA

AR

($b

illi

on

s)

Public

Private


Dec. 08: $697.4 billion Jan. 15: $614.1 billion

-11.9%

National Nonresidential Construction Spending by Subsector January 2014 v. January 2015

-14.5

-13.2

-12.4

-2.5

-1.5

-0.4

3.3

8.7

8.9

12.7

14.0

16.0

18.2

19.3

22.5

25.6

-20 -10 0 10 20 30

Public safety

Power

Religious

Health care

Communication

Educational

Water supply

Highway and street

Transportation

Office

Commercial

Sewage and waste disposal

Lodging

Amusement and recreation

Manufacturing

Conservation and development

12-month % Change


Inputs to Construction PPI January 2001 – January 2015

-10%

-5%

0%

5%

10%

15%

Jan

-01

May

-01

Sep

-01

Jan

-02

May

-02

Sep

-02

Jan

-03

May

-03

Sep

-03

Jan

-04

May

-04

Sep

-04

Jan

-05

May

-05

Sep

-05

Jan

-06

May

-06

Sep

-06

Jan

-07

May

-07

Sep

-07

Jan

-08

May

-08

Sep

-08

Jan

-09

May

-09

Sep

-09

Jan

-10

May

-10

Sep

-10

Jan

-11

May

-11

Sep

-11

Jan

-12

May

-12

Sep

-12

Jan

-13

May

-13

Sep

-13

Jan

-14

May

-14

Sep

-14

Jan

-15

12-m

on

th P

erc

en

t C

ha

ng

e


Construction Materials PPI 12-month % Change as of January 2015


-70% -60% -50% -40% -30% -20% -10% 0% 10%

Crude petroleum

Crude energy materials

Natural gas

Iron and steel

Nonferrous wire and cable

Steel mill products

Softwood lumber

Fabricated structural Metal Products

Plumbing fixtures and Fittings

Prepared asphalt and tar roofing & siding products

Concrete products

-54.8%

-38.4%

-29.3%

-6.7%

-6.4%

-1.5%

-0.6%

1.2%

3.9%

4.2%

4.8%

Source: ENR, “Owners Take Rap for Big Project Fails” 02/26/2015 By Scott Blair

Megaprojects: High Risk of Failure

• IPA considered a project a failure if it met at least one of four criteria: • Its costs grew by 25 percent or more relative to expectation; • The schedule slipped by at least 25 percent (one year, on average, for

mega-projects); • The project overspent compared to the industry average; or • There were severe and continuing operational problems lasting more

than two years after startup. • An ongoing, multiyear study conducted by Independent Project Analysis

(IPA) Inc., with the participation of nearly 100 of the largest owners of global industrial project found a strong correlation between failure rate and size. • Around 37% of projects under $750 million fail. But megaprojects over

$750 million tend to fail nearly two-thirds of the time (the study examined more than 3,700 projects).

• According to IPA’s study, the engineering error rate has doubled since 2006. Merrow describes some of them as "Chemical Engineering 101-type errors.”

Problems with Megaprojects

• Causes of Megaproject Inefficiency (1) • Inadequate planning and analysis prior to

construction • Incomplete detail design engineering prior to

construction • Lack of unified construction partnerships between

owners and contractors • Ineffective project controls, which impact decision

making and risk management throughout the project lifecycle.

Source: 1. Aconex.com “Managing Construction Megaprojects” May 2014;

2. PWC “Correcting the course of capital projects. Plan ahead to avoid time and cost overruns down the road” April 2013

Megaprojects & Cost Overruns

Source: PWC “Correcting the course of capital projects. Plan ahead to avoid time and cost overruns down the road” April 2013

The cost of projects gone awry • “A PwC analysis of six nuclear

plants found an average cost overrun of 157%.

• Of 47 mega-projects analyzed by PwC, the average cost overrun was 88%.

• For a refinery project budgeted at $4 billion, the final forecast was $12 billion.

• Incorrect contracting to build ships and infrastructure led to a $2 million tax loss.

• In litigation, a project owner sought €2.4 billion in damages for a three-year delay on a turnkey, €3 billion power project.”

Analysis of industry research conducted by PwC found that mega-projects often exceed their budgets by 50% or more.

Psycho

-23.0%

0.8%

0.9%

3.3%

3.5%

3.6%

3.9%

4.8%

4.8%

5.4%

5.8%

7.7%

8.6%

-30.0% -20.0% -10.0% 0.0% 10.0% 20.0%

Gasoline Stations

General Merchandise Stores

Electronics & Appliance Stores

Clothing & Clothing Accessories Stores

Sporting Goods, Hobby, Book & Music Stores

Food & Beverage Stores

Building Material & Garden Supplies Dealers

Health & Personal Care Stores

Miscellaneous Store Retailers

Motor Vehicle & Parts Dealers

Furniture & Home Furn. Stores

Food Services & Drinking Places

Internet, etc. Retailers

12-month % change

Sales Growth by Type of Business February 2014 v. February 2015*


*February 2015 advanced estimate

Conference Board Leading Economic Indicators Index August 2007 through February 2015

Source: Conference Board

-1.5%

-1.0%

-0.5%

0.0%

0.5%

1.0%

1.5%A

ug

-07

No

v-0

7

Feb

-08

May

-08

Au

g-0

8

No

v-0

8

Feb

-09

May

-09

Au

g-0

9

No

v-0

9

Feb

-10

May

-10

Au

g-1

0

No

v-10

Feb

-11

May

-11

Au

g-1

1

No

v-11

Feb

-12

May

-12

Au

g-1

2

No

v-12

Feb

-13

May

-13

Au

g-1

3

No

v-13

Feb

-14

May

-14

Au

g-1

4

No

v-14

Feb

-15

On

e-m

on

th P

erc

en

t C

ha

ng

e

February 2015 = 121.4 where 2010 = 100

Tell-Tale Heart

• Economy gained momentum over the course of last year;

• Tailwinds included booming stock market, lower gasoline prices, stabilizing global economy, and consumer expenditures on interest rate sensitive durable goods like autos;

• The current year is associated with greater certainty regarding monetary policy – that helps;

• The world is not perfect - black swan threats remain: (1) Iran (2) Israel/Iran (3) Europe (4) contagion (5) cyber (6) EMP;

• Market is nervous, but perhaps for the wrong reasons (there is at least one reason for anxiousness among equity investors); and

• More people benefit from lower oil prices than are hurt – more contractors and developers are helped than hurt – frankly, low oil prices just don’t make me that nervous.

Thank You

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