International Financial market and Korean Economy
Class Note 10
The Economic Growth of Korea after 1990:
Identifying Contributing Factors from Demand
and Supply Sides
This material is based on Chapter 5 of edited by Takatoshi Ito and Chin Hee Hahn (Edward Elgar (2010).
Introduction(1/2)
The Purpose of This Study is
To understand the Growth of Korean Economy since
1990
• Based on two linear stochastic models, which
contrast the institutional changes Korea went
through after the Financial Crisis
• To measure the relative contributions of various
shocks to the growth path of Korea
• Demand, supply (productivity), oil shocks,…
Introduction(2/2)
Methodology
Introduce two systems of linear stochastic difference
equations, each of which represents the Korean
economy before and after the Financial Crisis.
Following Blanchard and Quah(1989), (1) Derive longrun restrictions and (2) Estimate SVAR models with
them.
Shocks are roughly classified into demand, supply and
foreign shocks.
3.4
3.8
4.8
2.1
3.9
• Speed
of Growth is decelerating.
“ Is it a ominous sign of Slowdown? Or Are we there
yet?”
Observations(2/2)
Real GDP Growth
(Year-on-Year % Change, Yearly Growth Rate, %)
35
30
25
20
15
10
5
0
• Inflation Targeting
• A Floating Exchange Rate System
1998
2001
lrGDP(s.a)
2004
2007
Discussions
Shim(2001)
•Assuming a closed economy
•Shocks are arranged so as to have a lower triangular covariance
matrix.
Kim(2005)
•Analyzing the impact of foreign shocks on domestic economy.
Oh(2007)
•An open economy version of B-Q(1989), consisting of Import
Volume, GDP and CPI.
Limitations
•Not based on economic models
•Doesn’t consider the institutional changes after the Crisis.
Sources of Shocks and Transmission Channels(1/2)
• A monetary authority follows a Taylor rule.
• A small open economy: TOT and Exchange rate
Estimated Equations and Identifications(3/8)
A. Inflation Targeting and Flexible Exchange Rate
(1) IS curve
yt = κrt − qt + θ ty , θ ty = θ ty−1 + ε ty ,
1 k
rt = Rt − ∑ Et [π t + j ] , qt = pt − (et + ptf )
k j =1
(2) New Keynesian Phillips curve (Aggregate supply curve)
∞
π t = γ ∑ δ i Et [ ytp+i − yt +i ] + ε tπ
i =0
(3) Forward looking Taylorh rule
rt = β π Et [π t + h ] + β y ∑ Et [ y tp+i − y t +i ]
j =1
(4) An equilibrium condition of the FX market
Rt = Rt f + Et [et +1 − et ]
Estimated Equations and Identifications(4/8)
(5) Derive
a SVMAR system, which represents macro
0 π t f
f
0 Rt
− 1
ety− j 1
y
∞
e 0
= ∑ A j tπ− j +
j = 0 et − j 0
e e 0
t− j
p
− 1
0 π t f
f
0 Rt
− 1
-(P) real GDP, (T) price, interest and exchange rate
Estimated Equations and Identifications(5/8)
B. Aggregate Targeting and Fixed Exchange Rate
• The monetary authority controls the Quantity of
Money
• By adjusting Money Growth
• Assuming a fixed or managed exchange rate system,
• Autonomy of monetary policy is tied to maintain
0 interest rate differential with a foreign country.
• The model describes Korea before the financial crisis.
Estimated Equations and Identifications(6/8)
B. Aggregate Targeting and Fixed Exchange Rate
(1) Aggregate demand curve (a combination of IS and LM)
κ
yt =
b
( mt − p t ) −
κ
k
(1 +
∞
π t = γ ∑ δ i Et [ ytp+i − yt +i ] + ε tπ
i =0
(3) An equilibrium condition of the FX market
Rt = Rt f , et = e , Rt f = S f , R X t f
(4) Money supply
mt = yt + bRt f + pt
Estimated Equations and Identifications(7/8)
(5)
Derive a SVMAR system, which represents macro
variables ( ∆yt , π t , Rt , ∆mt , π t f ) as functions of
exogenous shocks (ε ty , ε ty , ε tπ , ε t f , x , ε t f ,π )
p
p
ety− j
ety
∆yt
∞
A∞ ≡ A(1) = ∑ A j = 0
0 NA NA 0
j =0
NA
NA
NA
0
0
0
0
0 NA NA
• Singularity arises in the longrun response matrix of A∞ .
• Decrease the numbers of shocks
and variables.
Estimated Equations and Identifications(8/8)
(6) Rearrange with three variables
2
• To handle with over-identification, run the log-likelihood χ-test
additionally
p
• Productivity shock(ε ty )
p
NA NA NA
A∞ = 0
0 NA
0 NA 0
-(P) real GDP, (T) interest rate and money
• Demand shock( ε ty )
- (P) real GDP and Money, (T) interest rate
π
• Price shock(ε t )
- (P) real GDP, (T) interest rate and money
The Descriptions of the Data (1/3)
Time Coverage and Notable Features
• Source : BOK
• Real GDP, Price, Exchange Rate (US $/KOR W) , Money :
1970.1/4~2007.2/4
-1.615
Inflation(GDP deflator)
-2.712
-2.581
-1.943
-1.615
Nominal interest rate
(TB 1-year)
-1.365
(-4.395)
-2.647
(-2.650)
-1.953
(-1.953)
-1.610
(-1.610)
Nominal interest rate
(CD 91 days)
(-2.581)
-1.943
(-1.943)
-1.615
(-1.615)
Unemployment rate
2.659
-2.581
-1.943
-1.615
Note: ( ) is a result of the first order difference.
The Descriptions of the Data (3/3)
Lag Order Selection Criteria for S-W Model
Periods
Variables
LR
Growth rate of real GDP
Inflation
Interest rate(3-month CD)
Growth rate of monetary
aggregate
2
1
19
19
19
IR and FEVD Analysis (1/14)
The estimation results are displayed:
Impulse Response analysis
Forecasting Error Variance Decomposition
IR Analysis (2/14)
A. Inflation Targeting and Flexible Exchange Rate
• 2000.1/4~2007.2/4
Real GDP
Price index
shock 1
shock 2
shock 3
shock 4
Volatility of the exchange rate
shock 4
shock 1
shock 2
shock 3
shock 4
Note: Each of shock 1,2,3,4 represents a shock from productivity, or aggregate demand, or price, or exchange rate.
IR and FEVD Analysis (4/14)
B. Aggregate Targeting and Fixed Exchange Rate
(1991.1/4~1997.3/4)
<Impulse Response>
<FEVD>
shock 2
Note: Each of shock 1,2,3 represents a shock from productivity, or aggregate demand, or price.
shock 3
IR and FEVD Analysis(5/14)
C. B-Q(1989)’s Original Model (2-variables and 2-shocks)
(1970.1/4~2007.2/4)
<Impulse Response> Growth rate of real GDP
<FEVD>
Changes in growth rate of real GDP
shock 1
shock 2
Unemployment rate
Changes in unemployment rate
shock 1
shock 2
Note: Each of shock 1,2 represents a shock from demand side or supply side.