MikeKennedy_eo801 Dec 0506

Page 1

Economic Outlook 80 December 2006 by

Mike KENNEDY Head of General Economic Assessment Division OECD Economics Department

1


Plan of the presentation

Where are we now in the conjuncture?

Where do we see the activity and inflation going?

What are the forces contributing to the outlook?

What is happening on the policy front?

2


G ro w thd ifferen tia lsh a v en a rro w ed R ealG D Pg ro w th ,y ear-o n -y ear %

U n itedS tates E u roarea Jap an

6 .0 5 .0

6 .0 5 .0

4 .0

4 .0

3 .0

3 .0

2 .0

2 .0

1 .0

1 .0

0 .0

0 .0

-1 .0

-1 .0

-2 .0

-2 .0

-3 .0

-3 .0 2 0 0 0

2 0 0 1

2 0 0 2

2 0 0 3

2 0 0 4

2 0 0 5

2 0 0 6

2 0 0 7

S o u rce:O E C DE co n o m icO u tlo o k8 0d atab ase.

3


C onfidencegenerallyhealthy U nitedStates

Japan

Euroarea

B usiness expectations 4 3 2 1 0 -1 -2 -3 2000

2001

2002

2003

2004

2005

2006

2005

2006

C onsum erconfidence 4 3 2 1 0 -1 -2 -3 2000

2001

2002

2003

2004

N ote: A ll series havebeennorm alisedat theaveragefor theperiodstartingin1985andarepresentedinunits of standarddeviation. M onthlydata, seasonallyadjustedexcept Japan (quarterly, s.a.). Source: O EC DM ainEconom icIndicators.

4


G row threm ain srob u st R ealG D Pgrow th, percent, quarter-on-quarter1 O u tcom es

E stim ates

2005Q 4

2006Q 1

2006Q 2

2006Q 3

2006Q 4

2007Q 1

U nitedS tates

0.4

1.4

0.6

0.4

0.4(+ /-0.5)

0.4(+ /-0.5)

Japan

1.0

0.8

0.4

0.5

0.3(+ /-0.5)

0.5(+ /-0.5)

E uroarea

0.4

0.8

0.9

0.5

0.7(+ /-0.4)

0.6(+ /-0.4)

G erm any

0.3

0.8

1.1

0.6

0.5(+ /-0.5)

0.4(+ /-0.5)

F rance

0.2

0.5

1.2

0.0

0.5(+ /-0.4)

0.6(+ /-0.4)

Italy

0.0

0.8

0.6

0.3

0.5(+ /-0.4)

0.5(+ /-0.4)

U nitedK ingdom

0.7

0.7

0.7

0.7

0.6(+ /-0.3)

0.6(+ /-0.3)

C anada

0.6

0.9

0.5

M ajor7countries

0.4

1.0

0.6

0.4(+ /-0.1) 0.8(+ /-0.5) 0.4

..

0.4(+ /-0.4) 0.5(+ /-0.5)

1. N otes:B asedo aa n a G D Preleasesandhigh-frequencyindicatorspublishedbyN ovem ber202006. S easonallyandin som ecasesalsow orking-dayadjusted. A ggregationsfortheG 7use2000purchasingpow erparityw eights. A ssociatedÂą 1standarderrorrangesareinparentheses. E C DE conom icO utlook80database. Source: O

5


Headline inflation has declined Year-on-year percentage change United States Consumer price index (CPI)

5.0

CPI excluding food and energy

4.5

Volatility-weighted mean

4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 2000

01

02

03

04

05

06

Note: The volatility-weighted mean refers to an average of price increases of CPI components weighted by the inverse of the standard deviation of the price second difference. Source : OECD Main Economic Indicators and OECD calculations.

6


Headline inflation has declined Year-on-year percentage change Euro area Harmonised index of consumer prices (HICP) HICP excluding energy and unprocessed food Weighted median

5.0 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 2000

01

02

03

04

05

06

Note: The weighted median is, each month, the middle element in the distribution of CPI price changes, that is, the one leaving 50% of the components (in terms of CPI weights) on each side. Source : OECD Main Economic Indicators and OECD calculations.

7


Headline inflation has declined Year-on-year percentage change Japan 3.0

Consumer price index (CPI) CPI excluding food and energy

2.5

Double-weighted mean

2.0 1.5 1.0 0.5 0.0 -0.5 -1.0 -1.5 -2.0 2000

01

02

03

04

05

06

1. The double-weighted mean combines original CPI expenditure-based weights and weights related to volatility. It is an average of price increases weighted by the original CPI weights divided by the standard deviation of the price second difference. Source : OECD Main Economic Indicators and OECD calculations.

8


In tr a -O E C D g r o w thg a p sa r en a r ro w in g O E C D a re a ,u n le ssn o te do th erw ise A v e r a g e 1 9 9 4 -2 0 0 3

2 0 0 4

2 0 0 5

2 0 0 6

2 0 0 7

2 0 0 6

2 0 0 7

2 0 0 8

2 0 0 8

q 4

q 4

q 4

3 .0 3 .0 2 .9 2 .2

2 .7 2 .6 2 .2 2 .1

2 .7 2 .7 2 .5 1 .9

P e rc e n t 1 R e a lG D Pg r o w th U n ite dS ta te s E u roa re a Ja p a n 2 O u tp u tg a p

2 .7 3 .2 2 .2 1 .0

3 .2 3 .9 1 .7 2 .3

2 .7 3 .2 1 .5 2 .7

3 .2 3 .3 2 .6 2 .8

2 .5 2 .4 2 .2 2 .0

2 .7 2 .7 2 .3 2 .0

-0 .7

-0 .9

-0 .7

-0 .2

-0 .2

-0 .1

U n e m p lo y m e n tr a te3

6 .6

6 .7

6 .5

6 .0

5 .8

5 .7

5 .9

5 .8

5 .7

4 In fla tio n

3 .5

2 .4

2 .1

2 .2

2 .2

2 .1

2 .1

2 .2

2 .1

-2 .3

-3 .4

-2 .7

-2 .0

-2 .0

-2 .0

F isc a lb a la n c e5

1 .Y e a r-o n -y e a rin c re a se ;la stth re ec o lu m n ssh o w th ein c re a seo v e ray e a re a rlie r. 2 .P e rc e n to fp o te n tia lG D P . 3 .P e rc e n to fla b o u rfo rc e . 4 .G D Pd e fla to r.Y e a r-o n -y e a rin c re a se ;la stth re ec o lu m n ssh o w th ein c re a seo v e ray e a re a rlie r. 5 .P e rc e n to fG D P . E C D E c o n o m icO u tlo o k8 0d a ta b a se . S o u rc e :O

9


Actual and predicted synthetic indicator of risk premia Deviation from average (in terms of standard deviations of synthetic indicator) 3

Synthetic Indicator - actual values

Synthetic Indicator - predicted values

2

1

0

-1

-2 1998

99

2000

01

02

03

04

05

06

Source: Update to computations in Sløk, T. and M. Kennedy (2005), "Explaining risk premia on bonds and equities", OECD Economic Studies, No. 40, 2005/1.

10


E nergym arketshavecooled T radebyoilexportingcountries1

W estT exasInterm ediatespotandfuturesprices M onthlyaveragesandfuturesprices,dollarsperbarrel

$billion ports Im

80 70

210 190 170

60

150

50

130

40

110

30

90

2006q2

70 20

50

10

30

0

10

2000 01 02 03 04 05 06 07 08 09 10 11

10

1998q1 1995q1

E xports

30

50

70

90

110 130 150 170 190 210

1. O ilexportingcountriesaredefinedasthosecountriesw hoseoilexports(netofanyim portsofcrudeoil)bothrepresentam inim umoftw othirdsoftheirtotalexportsandareatleastequivalentto approxim ately1percentofw orldexportsofoil.T hecalculationspresentlyusedtodeterm inew hichcountriesm eettheabovecriteriaarebasedon1976-78averages.

Sources:D atastream ,IM FandO E C DInternationalT radeM onthlyStatisticsdatabase.

11


A s s e s s i n g h o u s i n g m a r k e t s a n d t h e i r i m p a c t P r i c e t o r e n t r a t i o s ( % ) : a c t u a l m i n u s f u n d a m e n t a l , f i r s t h a l f o f 2 0 0 6 o r m o s t r e c e n t 8 0 6 0 4 0 2 0

C a n a d a I r e l a n d A u s t r a l i a

N o r w a y D e n m N a e k wr Z e a l a n d

S p a i n

I t a l y F i n l a n d S w e d e n

k

D e n m a r

S t a t e s

U n i t e d

Z e a l a n d

I n t e r e s t r a t e u p b y 1 % ( c a s e 2 )I n t e r e s t r a t e u p b y 2 % ( c a s e 2 )

N e w

N o r w a y

C a n a d a

a

A u s t r a l i

a n d s

N e t h e r l

a n d

4

R e a l G D P a n d c o n s u m p t i o n d u r i n g m a j o r h o u s i n g d o w n t u r n s Y e a r o n y e a r p e r c e n t a g e c h a n g e I n t e r e s t r a t e u p b y 1 % ( c a s e 1 ) I n t e r e s t r a t e u p b y 2 % ( c a s e 1 )

S w i t z e r l

1 0 . 5 0 5

J a p a S wn i t z e r l a n d

4 0

J a p a n

G e r m a n y

2 0

F r Ua n c n e i t e d S t a N t e s e t h e U r l n a i n t e d d s K i n g d o m

0

3 2 1

R e a l G D P R e a l h o u s e h o l d c o n s u m p t i o n

0 1 1 2 1 1 1 0 9 8 7 6 5 4 3 2 101234567891 0 1 1 1 2 Q u a r t e r s a f t e r p e a k S o u r c e : O E C D E c o n o m i c O u t l o o k 8 0 d a t a b a s e a n d O E C D c a l c u l a t i o n s .

12


C u r r e n ta c c o u n tim b a la n c e sa r eg r o w in ga n do ffic ia lr e s e r v e ss o a r in g O ffic a lr e s e r v e s1 $b illio n

5 0 0 0 O ilp ro d u c in gc o u n trie s2 O th e re m e rg in gA s ia3 4 C h in a J a p a n R e sto fth ew o rld

4 5 0 0 4 0 0 0 3 5 0 0 3 0 0 0 2 5 0 0 2 0 0 0 1 5 0 0 1 0 0 0 5 0 0 0 1 9 9 5

1 9 9 7

1 9 9 9

2 0 0 1

2 0 0 3

2 0 0 5

1E n do fy e a re x c e p tfo r2 0 0 6 ,e n do ffirstq u a rte r. 2A fric aa n dM id d leE a st, R u ssia . 3C h in e seT a ip e i, S in g a p o rea n dK o re a . 4C h in a ,P e o p le 'sR e p u b lica n dH o n gK o n g . S o u rc e :O E C D E c o n o m icO u tlo o k8 0d a ta b a se , In te rn a tio n a lM o n e ta ryF u n d .

13


Persistenceofcurrentaccountim balances 20

Crosscountry dispersionof 18 annual changesin thenom inal 16 effectiveexchange rate(% )

14 12 10 8 6

1976

2005

4 2

Crosscountrydispersionofcurrent account positions(%G D P)

0 0

1

2

3

4

5

6

7

8 14


Currencies may be starting to adjust Euro per dollar

0.90

Yen per dollar

130

0.85

120

0.80

110

0.75

100

0.70

90

4 -0 c e D

5 5 -0 -0 r b p Fe A

5 5 -0 -0 n g u Ju A

5 -0 t c O

5 -0 c e D

6 6 -0 -0 r b p Fe A

6 6 -0 -0 g n u Ju A

6 -0 t c O

6 -0 c e D

Source: Datastream.

15


16


17


Turn static files into dynamic content formats.

Create a flipbook
Issuu converts static files into: digital portfolios, online yearbooks, online catalogs, digital photo albums and more. Sign up and create your flipbook.